Senior Scientist, / Senior / Scientist Resume Samples

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RT
R Torphy
Ryann
Torphy
1077 Franecki Meadows
Houston
TX
+1 (555) 450 9087
1077 Franecki Meadows
Houston
TX
Phone
p +1 (555) 450 9087
Experience Experience
Dallas, TX
Senior.clinical Programs Scientist
Dallas, TX
Durgan Inc
Dallas, TX
Senior.clinical Programs Scientist
  • Responsible for maintaining tracking information in the clinical trial management system, confirming resolution of data quality issues with the CRO
  • Represents and leads the study team to design, develop and deliver the clinical study to agreed upon timelines
  • Reviews and approves study plans
  • Authors/contributes to clinical study documents
  • Monitors the status of clinical data collection of assigned clinical studies
  • Responsible for oversight of identification and selection of investigator sites
  • Liaises and coordinates with document specialists regarding study files
Philadelphia, PA
Senior Clinical Programs Scientist
Philadelphia, PA
Legros, Stehr and Nienow
Philadelphia, PA
Senior Clinical Programs Scientist
  • Responsible for the planning, implementation, execution and management of one or more clinical research studies
  • May perform periodic visits to sites and/or CROs to assess progress of studies/protocol compliance
  • Collaborates with the cross functional team on selection and management of clinical vendors
  • Provides periodic status reports regarding study timelines, budget issues, accruals, etc. to Global Clinical Operations Lead (GCOL) as requested
  • Provides input and coordinates the delivery of clinical trial supplies in collaboration with Clinical Supply team
  • Supports department initiatives and process improvements
  • May mentor other Study Managers
present
Los Angeles, CA
Senior Clinical Program Scientist
Los Angeles, CA
Jakubowski-MacGyver
present
Los Angeles, CA
Senior Clinical Program Scientist
present
  • Leads team through selection process and provides input into contracts, change orders, and/or work orders
  • Executes the clinical study in accordance with the project clinical development strategy and timelines
  • Responsible for the financial management of a study, and develops and oversees study timelines
  • Evaluates CRO and vendor performance for future work
  • Provides input as the subject matter expert for the study during regulatory inspections
  • Oversees and monitors the management of clinical studies ensuring they are conducted in accordance with the approved study plans through regular investigator site / CRO / clinical vendor contact
  • Manages clinical outsourcing to CROs and other vendors such as IVRS, labs, IRBs, etc
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Liberty University
Bachelor’s Degree in Computer Science
Skills Skills
  • A highly motivated self-starter who is able to think independently, yet work as a team player
  • Proven ability to work effectively both independently and as part of a team with diverse groups of people at various levels
  • Ability to meet deadlines and budgets while being flexible to changes in priorities
  • Knowledge of patent filing
  • Good project execution skills and laboratory discipline
  • Excellent verbal and written communication skills
  • Self-motivated but able to work well within a team environment
  • Knowledge of equipment and procedures for making dispersions and handling powders will be considered
  • Able to multi-task and coordinate various simultaneous project
  • Work independently to design, run and document experiments as well as be able to present findings to customers in presentation and written format
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15 Senior Scientist, / Senior / Scientist resume templates

1

VP-senior Data Scientist Resume Examples & Samples

  • Write and interpret complex SQL queries for standard as well as ad hoc data mining purposes
  • Use advanced analytical techniques to measure value and develop insights that help allocate spend across and within marketing vehicles (e.g., online display, Search, direct mail, etc.)
  • Use lifetime value and ROI based metrics to measure the efficiency of marketing vehicles
  • Build predictive models using tools (response, propensity, look-alike) and segmentation based on cluster analysis/ decision trees
  • Deliver key data driven insights and recommend actions in a persuasive manner to stakeholders
  • Owning all data and analytics work end-to-end: project management, partner engagement, data extraction and validation, analysis and reporting, final presentation and broad communication of results
  • Keep abreast with marketing trends and provide recommendations for testing into new and emerging technology
  • Masters Degree in statistics, mathematics, marketing, engineering, economics or an applied science (PhD is preferred)
  • 5 years of hands-on experience leading the development of business insights leverages complex statistical methods, experimentation and visual analytics in digital or financial services domain
  • Experience using statistical software such as R, SAS / SQL or similar tools to analyze and infer business insights
  • Exposure to BI tools and concepts
  • Strong knowledge of RDBMS and database concepts
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • Skills in Java/C Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Python, Hive or other scripting languages
  • Experience working with large, unstructured (terabyte or larger) data sets
2

Senior Marketing Scientist Resume Examples & Samples

  • Establishing experimental designs prior to and conducting analysis after marketing campaigns, including significance testing
  • Developing profiles, predictive models and segmentation systems to enhance campaign performance
  • Using analytics to optimize e-mail, direct mail, social media and online display campaign performance, including attribution modeling
  • Delivering value-added insight into analysis results and recommendations based on findings
  • Attending team meetings, occasional Agency capabilities, building relationships with key agency and client contacts, and managing client expectations
3

Senior Marketing Scientist Resume Examples & Samples

  • Master's degree or PhD in machine learning, statistics, mathematics, computer science or equivalent work experience
  • 2 to 3 years work experience in advanced analytics including machine learning, statistical knowledge. Exceptional candidates will be considered directly from leading graduate programs
  • Expert level knowledge of SAS and open source tools for data analysis such as R and familiarity with structured and unstructured database systems (SQL, Hadoop, etc.)
  • A passion for data analysis and modeling
  • Comprehensive understanding of quantitative methods and extreme attention to detail
  • Some travel may be required for this position. Applicants must have ability to travel globally, and throughout US
4

Marketing Rapid Digital Senior Program Data Scientist Resume Examples & Samples

  • Guide projects in data and measurement strategy, test approach and design, use of data-driven capabilities (from rules to predictive models across segments), validation of measurement, ongoing reporting, and postmortem analysis and recommendations
  • Responsible for reflecting modern approaches including attribution techniques, dynamic (bandit-style) testing, and other new approaches to online data-driven marketing
  • Innovation in use of data via new technologies, analytic approaches, and new capabilities as well as support the drive prototype tests into "hand-offs" ready to be used in production
5

Senior.data Scientist Resume Examples & Samples

  • Deliver and maintain user impacting production services,
  • Experience with higher level languages (e.g. Python, Ruby, Lua),
  • Experience with supervised and unsupervised learning,
  • Masters degree or equivalent work experience
  • 5 years engineering experience
6

Senior Architect Research Scientist Resume Examples & Samples

  • Plan for the evolution of the Search and Retrieval systems, through the understanding of business and customer needs, emerging technologies, and proving solutions through prototype development and evaluation
  • Provide consultancy, leadership, and promote Software Engineering and Research best practices
  • Proactively monitor the Business Unit system health and design and write proposals for research solutions for the causes of negative trends
  • Proactively research, monitor, learn, and assess industry/technology advancements and continually build alliances to explore ways to leverage and advance our technical opportunities
  • Perform technical evaluations of new technology and acquisition candidates as required
  • Position requires an advanced degree (Ph.D. preferred) in law, computer science, computer engineering, information sciences, math or equivalent technical discipline or the equivalent technical and/or business experience
  • Ability to work on strategic undertakings independently
  • Ability to work through complex problems and reach workable solutions
  • Knowledge of large complex systems
  • Ability to work in ambiguous situations
  • Customer centered, iterative and incremental
  • Analytic evaluations for proving performance, quality, and customer satisfaction
  • Solid working knowledge in a plurality of the following areas
  • Very Large Scale Databases
  • Network Design (LAN and WAN)
  • Storage System Architectures
  • Service Oriented Architecture technologies
  • XML and XSLT
  • Parallel Processing Architectures (such as SMP, NUMA)
  • Works well with others
  • Leadership, mentoring, and equality
7

Senior Software Engineer / Research Scientist Resume Examples & Samples

  • Strong C++ and STL expertise
  • Strong Computer Science fundamentals (algorithms, data structures)
  • Industry experience developing multithreaded applications
  • Strong communications and interpersonal skills a must
  • Knowledge of SQL and standard RDBMSs a plus
8

Senior Ml Scientist Resume Examples & Samples

  • A successful candidate must have 7+ years’ experience in data analysis, machine learning, Natural Language Processing, statistics
  • A candidate should have 3+ years of managing/building a team
  • A candidate should have at least a BS in Computer Science (or a related, quantitative field); an MS/PhD is certainly a plus
  • Experience in an online advertising business or experience with "big data" are helpful, but not required
9

Senior Technical Operations Scientist Resume Examples & Samples

  • Provide technical support to the Reagent Manufacturing Operation consistent with the business objectives of quality, velocity/performance and cost. Ensures that all processes, equipment, materials and methods, used in the manufacturing of General Chemistry, Immunoassay and Haemotology products, are in compliance with Good Manufacturing requirements and ISO 13485/FDA regulations
  • Lead the resolution and approval of Deviation Reports associated with discrepant material and technical issues
  • Complete technical investigations, including run setup, review of results and statistical analysis of the data to resolve simple and complex technical issues with products/processes
  • Specification of tests and experimental work to investigate simple to complex technical issues and customer complaints
  • Analyse results using statistical data analysis and effectively resolves technical problems
  • Transfer new products from other company sites
  • Specification, procurement and qualification testing of new equipment
  • Leadership / implementation of process validation projects to support the site validation program
  • Generation of process validation protocols and reports
  • Lead CAPA activities and the disposition of non-conforming material
  • Provide technical assistance and contribute to the training of less experienced Technical Operation Scientists
  • Participation/leadership in DBS and Kaizen projects and activities
  • Implement cross functional initiatives to simplify and align technical operations functions in CS/CA and IA
  • Third level qualification in a Science discipline
  • Proven problem investigation and problem solving skills are essential
  • Demonstrated ability to effectively prioritize and manage a team toward the resolution of technical issues is essential
  • Extensive technical knowledge of IA and CS/CA diagnostic reagents and associated systems is beneficial
  • A good understanding of cGMP and ISO/FDA requirements is beneficial
10

Senior.clinical Programs Scientist Resume Examples & Samples

  • Responsible for the planning, implementation, execution and management of one or more clinical research studies
  • May author, review and approve various study related documents and plans
  • Evaluates issues, interprets data, and suggests and implements solutions and mitigation as required
  • Authors/contributes to clinical study documents
  • Reviews and approves study related plans generated by Clinical CROs and vendors
  • Executes the clinical study in accordance with the project clinical development strategy and timelines
  • Collaborates with the cross functional team on selection and management of clinical vendors
  • Liaises and coordinates with document specialists regarding study files
  • Trains and manages CRO and other clinical vendor activities to ensure the quality meets Shire and regulatory requirements
  • Responsible for maintaining tracking information in the clinical trial management system, confirming resolution of data quality issues with the CRO
  • Develops and monitors budget for clinical study, and reviews budgets and contracts with CROs, vendors, and investigative sites (as applicable)
  • Requests and critically evaluates proposals and change orders from CROs and vendors
  • Leads team through selection process and provides input into contracts, change orders, and/or work orders
  • May mentor other Study Managers
  • Familiarity with project management software or tools
  • Familiarity with financial budgeting and forecasting or reporting
  • Requires strong attention to detail and the ability to establish priorities, schedule and meet deadlines
  • Ability to work successfully within a cross-functional team and a matrix
11

Senior Image Scientist Resume Examples & Samples

  • Work to develop and refine data processing and exploitation methodologies in concert with intelligence community subject matter experts to ensure our products meet or exceed standards expected for operational utility
  • Coordinate with Image Science and Software teams within Information & Intelligence Group for the testing and validation of image formation and information extraction algorithms, providing value added feedback and assistance with troubleshooting
  • Be a subject matter expert on the configuration and use of UTAS developed software for the processing of data collected by our various EO/IR sensors and how image quality will be affected by these settings in different collection scenarios
  • Support programs and projects as we ensure the effective use and employment of our MSI/HSI sensors and the processing algorithms that support them as they relate to customer requirements
  • Ensure optimum image quality by performing manual and automated image quality assessments for a variety of sensors
  • Develop and execute various testing procedures and data assessments relating to advanced algorithm development, software releases and other related enhancements
  • Support business development efforts, particularly those involving advanced remote sensing capabilities
12

Senior Data Scientist Social & IVR Resume Examples & Samples

  • Work with software developers and data engineers to put models and algorithms in production
  • Hiring, managing and developing a team of Data Scientists
  • Experience cleaning, managing and visualizing large data sets (both structured and unstructured) and working with various data formats (e.g., XML, JSON)
  • Strong software engineering skills in Java, C++, or Python
  • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
  • Excellent written and oral communication skills with extensive experience presenting complex technical ideas and findings to business stakeholders
  • Strong problem-solving and analytical skills and thrives in a fast-paced environment
13

Senior Network Scientist Resume Examples & Samples

  • 3 yrs+ experience in architecting large IP/MPLS and DC networks
  • Expert in BGP, OSPF, IS-IS
  • Expert in TCP/IP protocol stacks and experimental performance enhancements
  • Deep knowledge of IPv6, network security, and protecting control planes
  • Solid understanding of Linux routing
  • Experience with SDN Technologies (OpenFlow, OVS, IO-Visor, Nuage, OpenContrail, BigSwitch,
  • Excellent analytical and problem solving skills
  • Ability to communicate highly complicated technical material in a simple manner to other staff
  • Help programmers write better applications to align with network capabilities
  • Work extremely well in a small collaborative team
  • Learn new concepts fast, and become an expert in nearly any domain
  • Ability to present topics to all audiences
14

Senior Clinical Programs Scientist Resume Examples & Samples

  • Provides input as the subject matter expert for the study during regulatory inspections
  • Responsible for the clinical review and/or approval of Case Report Forms (electronic as applicable), and provides clinical input into corresponding completion guidelines
  • Oversees and monitors the management of clinical studies ensuring they are conducted in accordance with the approved study plans through regular investigator site / CRO / clinical vendor contact
  • Evaluates CRO and vendor performance for future work
  • Provides periodic status reports regarding study timelines, budget issues, accruals, etc. to Global Clinical Operations Lead (GCOL) as requested
  • Maintains knowledge of therapeutic area, current medical practice and pharmaceutical regulations in order to ensure best practice across all activities
15

Senior NLP Scientist Resume Examples & Samples

  • Ph.D. in Machine Translation OR equivalent experience in research and development in Machine Translation
  • Strong publication record
  • Experience with Deep Neural Networks (DNNs)
  • Strong proficiency in C++, C# or Java
16

Senior Customer Data Scientist Resume Examples & Samples

  • Hands-on senior lead and sign-off for key pieces of analysis
  • Ownership of the delivery schedule and triaging process; tracking utilisation and assuring quality throughout
  • Track, prioritise and resolve key issues through team delivery
  • Influence data science roadmap and development of the strategic analytical capability through innovation, contributing to the development over time of the 'Customer Analytics Playbook'
  • Provide visibility within the wider Customer Analytics team of the insights and methods available from the Data Science team; utilising adept presenting ability
  • Champion best practice methodologies and innovative thinking across the team
  • Stay up to date with industry best practice, bringing application of the best tools and processes into the team
  • Act as coach/mentor for junior members of the Data Science team on their day-to-day deliverables and longer term career development
  • Champion professionalism and the team values across the Customer Analytics team
17

Senior Data Scientist, Operations Research Resume Examples & Samples

  • 5+ years of industry experience with a proven track record of using data analysis to drive significant business
  • Proficiency with at least one language for data analysis, such as R or Python
  • Interest and proficiency in answering complex business questions using statistics, machine learning, and matrix algebra
18

Senior Managing Data Scientist Resume Examples & Samples

  • Providing technical Subject Matter Expertise around advanced and large-scale data analytics: identification and assessment of advanced analytics use cases; application of statistical approaches to analytical problems; rapid execution of analyses on structured and unstructured data with advice for innovative and complex approach
  • Lead analytics projects, managing the project team and ensuring success in front of the Customer
  • Support Sales team in Customer engagement helping in understanding how to apply Analytical Asset, Solutions and Methodologies to business use case proving value
19

Senior Customer Data Scientist Resume Examples & Samples

  • Experience with some or all of: SAS, R, SQL, Hadoop, Greenplum (or other comparable database)
  • Excellent analytical skills with a track record in defining customer strategies through the use of data and analytics
  • Developing and communicating business recommendations and insights in easy-to-understand-way leveraging data to tell a story
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence
  • History of making an impact, developing and executing on strategies and delivering superior results in both the short and long term
  • Develop and maintain working relationship with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts
  • Advanced expertise with some or all of: SAS DS2, SAS IML, R, SQL, Hadoop and its associated toolsets (Hive, Mahout, Spark, YARN, etc…)
  • Powerful communicator who engages colleagues, business partners, external stakeholders, and employees. Confident presentation and facilitation skills and strong interpersonal and leadership skills to facilitate working with senior management at all levels
  • Be known for providing creative thought leadership while also listening and engaging others to provide input in the shaping of that vision
  • Demonstrated experience successfully leading a large scale change initiative. Strong knowledge of the related regulatory environments
20

Senior Data Scientist, Alephd Resume Examples & Samples

  • You will work in the R&D team in close collaboration with the IT team and the product
  • Guys to build awesome real-time + big-data algos to power AlephD products
  • You will be in charge of the follow-up and evaluation of existing algos and propose
  • Improvements and new approaches
  • You will provide expertise and technical leadership in mathematical modelling,
  • Statistics, machine-learning and algorithm design for big-data or real-time processing
  • You will contribute to the toolset of the team, building machine learning libraries,
  • Coding or testing frameworks
  • You will take part in the design of some data-viz aspects of our products
  • You will help foster a culture of best practice in data-science
  • You have a MS degree or PhD from a top-notch institution in a field such as Computer
  • Science, Mathematics, Physics, Statistics, quantitative Economics or Finance; or you have a track record proving similar skills
  • You have some experience coding in 2 of the following languages: Java, Python, C/C++,Scala, R, in a Unix-like environment
21

Senior Clinical Program Scientist Resume Examples & Samples

  • Responsible for the financial management of a study, and develops and oversees study timelines
  • Represents and leads the study team to design, develop and deliver the clinical study to agreed upon timelines
  • 40%
  • Responsible for oversight of identification and selection of investigator sites
  • Responsible for planning and conducting investigator’s meetings
  • Provides input and coordinates the delivery of clinical trial supplies in collaboration with Clinical Supply team
  • Manages escalation of study related isses and communicates as appropriate with management and other R&D functions
  • Ability to anticipate potential study issues and to prepare contingency plans with minimal oversight
  • May perform periodic visits to sites and/or CROs to assess progress of studies/protocol compliance
  • Monitors progress of clinical activity and produces regular and ad hoc reports and presentations as required
  • Reviews correspondence and monitoring reports relating to the study
  • Supports department initiatives and process improvements
  • Experience (5+ years) working in clinical research within a pharmaceutical company or CRO or similar organization
22

Senior Data Scientist, Data Services Resume Examples & Samples

  • Experience with most of
  • O Languages & frameworks: R, Python, Pandas, SQL, etc
  • O Recommendation engines (collaborative, content-based filtering, hybrid recommender systems)
  • O Predictive modeling: Generalized Linear Models (including but not limited to multilinear and Logistic regression), Random Forests
  • O Next-best-action marketing
23

Senior Data Scientist for Scientific Computing Resume Examples & Samples

  • Applicants are invited for a position of full time data scientist specializing in data mining/ machine learning/ statistics to conduct research on data analytics for consumer test, clinical test, product formulation, and safety evaluation etc., for L’Oreal R&I China labs
  • You will need to setup the best analysis plan of tests in order to obtain the most accurate results, and ensure the best practice of data management
  • You will lead the activity of adopting and developing methods of linkage analytics, which brings together data drawn from in-vivo and in-vitro test systems. Data sources are not restricted to lab data and include many other settings, including data from social media and connected devices
  • In addition, you should be willing to strengthen existing research groups and lead in the establishment of collaboration within the international Scientific Computing Community by sharing best practices and deploying and promoting international initiatives
  • You will contribute to the development of high value algorithms in the collaborative Statistical Platform which aims at delivering help decision tools for R&I members
  • More than 4 years’ working/research experience in data analysis and, experiences in computational chemist is desirable but not necessary
  • Grasp the knowledge on statistics and mathematics, including Descriptive Statistics, Linear Mixed Model, Regression algorithms, and so on
  • Grasp the knowledge in machine learning including clustering and classification, and prediction, etc. al
  • Experience on Text mining algorithms and ontology construction is desirable
  • Good programming skills in R, Matlab, SAS ,or python
  • Fluent in professional English, at ease of working in an international and dynamic and collaborative working environment
  • Personal skills
  • Have pedagogic skills to contribute to the improvement of data culture
  • Have good listening skills
  • Be rigorous and have analytical mind
24

Senior Learning Scientist Resume Examples & Samples

  • Applied Research and Learning Strategy
  • Educational Policy and Academic Integrity
  • Developing a research synthesis and product design rationale
  • Conducting both agile and sophisticated learner research to substantiate learning theories
  • Using learning science research to support product evaluation, implementation, and marketing
  • Partnering with the VP, Applied Learning Sciences to build collective consciousness and organizational capacity around the learning sciences
  • Partnering with the VP, Applied Learning Sciences in seeking thought leadership in the learning sciences
  • Participate in the formulation of a defensible set of frameworks, research syntheses, design principles, and white papers addressing aspects of the learning sciences and their application to digital learning products
  • Support marketing collateral and third-party summative research efforts by providing clear explications of learning theories, formative design testing, and third-party validation
  • Experiment with emerging forms of product testing in user-centered design, human and computer interaction, and neuroscience to gain a deeper understanding of perception, cognition, motivation, persistence, performance, and similar constructs
  • Conduct routine retrospective analyses to understand trends that are surfacing across the scholarly and/or applied research
  • Build professional development webinars, workshops, and training sessions to help product teams understand and implement recommendations
  • Collaborate with the VP, Applied Learning Scientist and the Learning Scientist team in developing academic partnerships, white papers, making conference presentations, participating in panel discussions, and developing/executing social media campaigns
  • Doctorate in Instructional Design, Educational Technology, Educational Psychology, related field
  • Three plus years of leading a research-based design of technology, software, or digital learning products
  • Fluency in learning theories, design-based research, formative evaluation methods, and third-party validation techniques
  • Expertise with user testing methodologies
  • Classroom teaching experience
25

Senior Data Scientist, Business Intelligence Resume Examples & Samples

  • Research and develop state-of-the-art machine learning, data mining and statistical modeling solutions to understand game design, system performance and key business behaviors, such as player acquisition, retention, and winback
  • Establish scalable, automated processes for large scale data extraction, model development, model validation and model implementation
  • Effectively translate statistical findings into actionable recommendations for senior leaders on game design and business teams
26

Senior UX Data Scientist Resume Examples & Samples

  • Work closely with product teams to identify research questions, and ensure that the right design telemetry (data) is being collected to answer those questions
  • Conduct behavioral analyses and experiments that can help product teams explain the WHY behind their business metrics results. You will apply data science (statistical and machine learning) methods to enable the design team to understand, benchmark, and influence product interaction
  • Communicate your findings in a clear, concise, and visual (when appropriate) manner to our key stakeholders on the product and design teams, and drive meaningful action based on those findings
  • Proactively engage in a culture of peer review that values transparency, cross-sharing, and respectful critiques
  • Work cross-functionally with qualitative researchers, design, program management, content and engineering in a fast moving agile environment
  • A BA/BS degree is required (Master’s degree is preferred) in Cognitive Science, Information Science, Human-Computer Interaction, Data Science, Statistics, or relevant field. You should have a strong educational foundation in quantitative methods. Experience with user research/HCI/usability is a plus
  • Excellent working knowledge of statistics, experimental design, and predictive analytics
  • Experience using statistical packages like R, Python, Julia, SAS, or SPSS
  • Experience in querying and log analysis using SQL, Hive, Scope and/or scripting languages
  • Expertise in advanced Excel functions (e.g., creating formulas, pivot tables)
  • A strong interest (bordering on obsession) with Design and User Experience. You will be partnering with qualitative UX Researchers, and should have a deep understanding and appreciation of the value of qualitative research and be excited to partner with them to complete their stories with data. Experience conducting your own qualitative UX research is a plus
  • 5 years of work experience in an applied research or data science setting
  • Excellent interpersonal, communication, negotiation and collaboration skills. You should have the ability to influence diverse audiences and build strong partnerships with stakeholders
  • Self-motivated, agile, and driven to think out-of-the-box
  • Familiarity with machine learning algorithms
  • A proven track record of strong, impactful data visualizations that you’ve used to effectively communicate your findings
  • Ability to publish your results broadly visually and interactively (e.g. Power BI, Jupytr Notebooks, Tableau, etc.)
  • Understanding of BI and data solutions, including Power-pivots, cubes, ETL, data warehousing, and datamarts
27

Senior Data Scientist Renewable Energy Resume Examples & Samples

  • Develop advanced analysis algorithms using sensor and turbine performance data to find patterns and relationships governing the condition of wind, solar, and hydro components
  • Develop and validate analytical concepts that reduce the LCOE (Levelized Cost of Energy) of wind turbines by improving asset predictability and performance and driving operational excellence in services
  • Lead complex analytics projects from idea generation to prototype development
  • Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed
  • Work with leadership to shape and develop a multi-year product and analytics roadmap
  • Technically assess potential acquisitions
  • Support Big Data initiatives to integrate GE established solutions into GE Renewables
  • Guide and mentor early- and mid-career team members on data science techniques and application to improve turbine design, performance, and maintainability
  • Advanced degree (PhD) in Computer Science, Statistics, Operations Research, Applied Math, Engineering or relevant from an accredited college or university
  • 5+ years of experience with statistical and analytic programming design and technologies (Python, R, Spark, SQL, SAS JMP, etc.)
  • 2+ years of experience with Wind turbine technology, including control and/or loads simulation of wind turbines
  • Proficiency in key statistical techniques (predictive modeling, logistic regression, decision trees, data mining methods, forecasting, neural networks and other advanced statistical and econometric techniques)
  • Applied knowledge of many of these machine learning concepts: supervised/unsupervised learning, regularization, feature selection, regression / classification, cross-validation, bagging, kernel methods, sampling, and probability distributions
  • Ability to apply the specified technologies in concert with physical system modeling and simulations to provide classification, diagnosis, and prediction of system behavior
  • Extensive hands on experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing / transformation Knowledge about industrial control / SCADA systems
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques
  • Experience with development projects and project management
  • Global mindset with ability to effectively lead within a matrixed environment
  • Strong interpersonal and communication skill
  • Fundamental knowledge regarding development of algorithms or analytics
  • Fundamental knowledge on statistical and analytical design and technologies (Python, R, Spark, SQL, SAS JMP, etc.)
  • Familiarity in dealing with large time series data sets (Big Data)
  • Proven track record of developing and applying statistical, probabilistic and machine learning technologies to complex systems
  • Creative and innovative mindset
  • Proven leadership ability
  • Strong ability to communicate analytical results with design engineers, business leaders, and other stakeholders, highlighting actionable insights
28

Senior Consultant, Data Scientist Resume Examples & Samples

  • Executes the end-to-end research process, from generating unique research topics to authoring rigorous analytical research papers. Ensures research reports are created using credible quantitative methodologies
  • Presents on research findings to senior leadership both within and outside of Deloitte
  • Works on a technical team which simultaneously supports research requests covering multiple industry areas
  • Balances the demands of multiple long term projects simultaneously
  • Prior experience that has involved the use of at least two of the techniques below
  • Econometrics
  • Text Analytics
  • Machine Learning (decision trees, support vector machines, clustering, etc.)
  • D3.JS or other similar browser-friendly data visualization library
  • Prior publication of work (please provide links if possible)
  • Experience managing data-driven research, from project ideation to final delivery
  • Ability to clearly communicate deeply technical concepts to non-technical audiences
  • Ability to work independently with little supervision as well as in a collaborative team environment
  • Masters or PhD in Statistics or other highly quantitative field is strongly preferred. Candidates with less educational attainment but with demonstrated quantitative creativity are preferred over candidates that lack creativity but have credentials
  • Experience with data analysis specifically in R and/or Python
  • Demonstrated experience in writing complex programs in Python
  • Familiarity with data visualization software, such as Tableau
29

Senior Associate, Cognitive / AI Scientist Resume Examples & Samples

  • Define, design and develop client focused cognitive solutions leveraging Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Information Extraction, Information Retrieval, Probabilistic Decision Making, image recognition, deep learning, Machine Learning, cognitive science and analytics
  • Serve as a developer and Subject Matter Professional (SMP) in one or several of the above mentioned domains and will help establish a competency in those cognitive areas for KPMG
  • Work closely with various industry and functional teams to incorporate cognitive and advanced analytics models and algorithms into KPMG’s solutions and offerings to its clients
  • Five years of relevant Analytics, Cognitive / AI, Machine Learning industry experience
  • Bachelor’s degree in Computer Science, Applied Statistics, Engineering, Science or other quantitative discipline with specialization and experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Cognitive Science or other related areas; Master’s/ Ph.D. degree preferred
  • Three years of experience in one of the following domains of interest - Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Visualization, Information Extraction, Information Retrieval, Probabilistic Decision Making, image recognition, deep learning, Machine Learning, Cognitive Science and Analytics
  • Ability to travel
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Senior Innovation Scientist Resume Examples & Samples

  • 40% Identify product development opportunities based on consumer trends and customer needs. Lead projects and technology initiatives independently. Design & execute experiments & plant trials to deliver solutions. Report results and recommend solutions for peer and management review; scale up and implement solutions onsite
  • 20% Create new oil products and food ingredient system-based solutions. Lead technical and cross-functional project teams. Champion innovation solutions with high commercial value. Deliver projects on budget and timeline
  • 20% Develop new techniques and procedures to improve experimental effectiveness and development efficiency
  • 10% Mentor and direct technicians and junior scientists
  • 10% Assess and recommend emerging technology based on commercial value. Pursue patents in areas with high commercial value. Collaborate with other Cargill food ingredients business units and global food technology teams to leverage talents and product portfolios
  • Ability to lift 35 lb routinely
  • Minimum 5 + years of Product Development experience
  • 3 + years of full time working experience in edible oil industry or academia
  • Proven record of innovation
  • Strong knowledge of experimental design
  • Proven records in managing multiple complex projects leading to commercial success
  • Strong knowledge of GLP
  • Strong knowledge of Food Safety
  • M.S. or Ph.D. in Food Science, Chemistry, Chemical Engineering or other related discipline
  • 7+ years R&D Food Industry experience
  • 7+ years in fats and oils product development
  • Experience in scientific paper writing
  • In-depth practical knowledge in fats and oils chemistry and processing
  • Demonstrate working knowledge in the operation and maintenance of HPLC, GC, NIR, Wet Chemistry, Solvent extraction techniques
  • Statistical design and analysis
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Senior Sensory Scientist Resume Examples & Samples

  • Develops and implements sensory and consumer research methodologies in support of product development
  • Leads development of new methodologies and application within research cycle
  • Organizes test execution including recommendation/selection of research vendors for specific studies and preparation of all necessary materials for each research study (screener, questionnaire, test plan and serving rotations, product preparation protocols, etc.)
  • Evaluates data following study completion, working with statistics department to ensure timely and complete data analysis
  • Develops logical and actionable conclusions and recommendations through thorough understanding of the data
  • Clearly reports study findings and recommendations through written and verbal communications
  • Leads group initiatives to expand functional capabilities
  • Acts as internal sensory expert for RQI including training of cross-functional associates in sensory principles and techniques
  • May be required to participate in food tastings/ cuttings as necessary to design appropriate research
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Senior Applied Data Scientist Resume Examples & Samples

  • Minimum 5 years of experience with developing client-driven solutions and/or applications to real-world large dataset problems, including
  • Minimum 5 years post-degree experience in the development of commercial machine learning solutions and/or the design and implementation of analytic algorithms
  • 2+ years of experience leading a team of Data Scientists or analytics professionals
  • 5+ years of experience with the development and delivery of client-facing Big Data solutions
  • 4+ years of experience in functional and object-oriented programming (e.g., C++, Java, C#, etc.)
  • 3+ years of experience with the design and implementation of large-scale distributed analytics in a framework such as Spark
  • Research experience in machine learning, graph analytics, numerical analysis
  • Background in an application field (biology, sensors, retail, education, etc.) is a plus
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Senior Data Scientist for Global Insights Resume Examples & Samples

  • Establish data science as a discipline within Global Insights, the company´s insight centre of excellence, and in the LEGO Group as a whole
  • Deliver modelling algorithms for a new LEGO Group Project, where your skills help us in delivering recommendations to our followers on digital channels
  • Add to our Global Insights agenda by developing data visualization, data mining and advanced analytics to extend our current insights generation
  • Deliver ad-hoc analytics to internal stakeholders in the wider organisation and service other analytics initiatives within Product and Marketing Development
  • Hold a degree in Statistics, Economics, Finance, Engineering or Computer Science
  • Have 3-5 years of experience with statistical modelling, data extraction, data cleansing, data visualization and knowledge of at least one advanced analytics tool/platform, preferably R or Python
  • Are familiar with methods of recommendation engines (similarity indexes, decision trees, random forests, collaborative filtering, etc.)
  • Need to be able to travel to both internal projects and external conferences, especially within Europe, for a limited amount of time
  • Are thorough in your work and curious to find new ways of improving it
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Senior Principle Scientist Resume Examples & Samples

  • Basic knowledge and experience in drug discovery, biomarker research and/or translational research
  • Experience in new target identification and validation-siRNA or shRNA mediated gene knockdown in vitro and in vivo
  • Self-motivated, function well in a matrix organization and a good team player
  • Knowledge and experience working in hematological cancer field is a big plus
  • Organizational leadership skills, prior experience as a people manager is required.Biology
35

Senior Consumer Scientist Resume Examples & Samples

  • The jobholder develops project objectives and strategies independently in response to business needs, executing against same and recommending action plans to implement key findings
  • The jobholder is comfortable with increasing levels of complexity and is capable of collecting data from various sources both internal and external
  • The jobholder significantly impacts the directions and quality of work done by other technical people
  • The jobholder interacts regularly with other CS members at other locations and may direct activities of junior professionals and/or temporary staff while completing assignments
  • The jobholder begins interactions with professionals outside the company at professional meetings
  • Lead and conduct single or multi stage medium sized projects, delivering to the required standards and agreed timescales, including designing research to meet objectives, to produce good quality, actionable data, interpreting results, reporting/presenting findings, making recommendations and contributing to decision making
  • Effectively partner with stakeholders (R&D and Commercial / Insights) ensuring that the work is in line with the strategic priorities of the business
  • Work with the Consumer Science management team to prioritize workload
  • Ensure two-way communication between yourself and other team members
  • Organizing and prioritizing duties
  • Demonstration of proactivity
  • Proven ability to work independently
  • Ability to discern data confused or hidden by extraneous information
  • Independently communicates facts, draws conclusions amd implications from research, linking to business goals
  • Demonstrable competence in primary software applications (Word Processing, Spreadsheets, Presentations etc.)
  • Mastery in Discrimination & Descriptive Analysis tools and techniques
  • Linking consumer and sensory data into a cohesive story
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Senior Managing Data Scientist Resume Examples & Samples

  • Masters or Ph.D. in a Science or Engineering discipline related to the environmental field
  • 15 years or more of experience in environmental assessment and analysis
  • Must have strong quantitative skills in data management and analysis shown by project experience and publication record
  • Strong working knowledge of data management, analysis, and visualization software
  • Familiarity with at least two of the following: databases (any RDB), statistical analysis, mathematics, software development, modeling or machine learning
  • Databases and data management (SQL, OLAP tools)
  • Software development in one or more high level languages (C#/C/C++/Java/F#)
  • One or more scripting languages (Python/Perl/Shell)
  • Common analytics tools (R, Orange, Weka, KNIME, scikit, SAS, SPSS)
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Senior Network Scientist Resume Examples & Samples

  • Experience performing development related to networking, communications, or computing systems
  • Ability to collaborate, communicate, and quickly come up to speed in a leading-edge R&D environment
  • Ability to serve as a technical lead for project teams or sub-teams
  • Ability to present to customers or other technical audiences effectively
  • Experience with programming languages such as C, C++, Python, Java, MATLAB or VHDL
  • Experience developing in a Unix/Linux environment
  • Ability to obtain a US Government security clearance may be required. A willingness to apply and US citizenship or Permanent Residency are required
  • Experience or strong interest in some of the following: software defined radios, networking protocols, machine learning, signal processing, network security, network understanding, cloud computing, software defined networking, or communications systems is desirable
  • Experience in systems programming including OS, device drivers, compilers, is a plus
  • Experience in the development of new business with R&D funding agencies (e.g., concept, white paper, and proposal development) is a plus
  • BS degree in CS, EE, Computer Engineering, or a related field and minimum of 11 years of experience depending on degree level
  • Advanced degree and experience preferred. MS or PhD in CS, EE, Computer Engineering or a related field and 11+ years of experience is desired
38

Senior Customer Data Scientist Resume Examples & Samples

  • Investigate and analyze information to identify patterns and visualize trends on customers’ reported issues and influence our data-driven analytics strategies on the next generation of support systems
  • Develop mechanisms and identify opportunities to automatically solve customer problems and self-heal
  • Work with cross-functional teams to facilitate source code modifications, debug complex issues and improve our systems
  • Train and mentor technical support specialists to provide efficient support to our customers
  • Programming experience with high level languages (MATLAB, R, Python, C/C++ and/or Java)
  • Demonstrated ability to perform software application development tasks, computational analysis, and algorithmic design
  • Excellent troubleshooting, problem-solving, and multi-tasking skills
  • Candidates must be interested in working with customers to understand their real engineering challenges and to help them understand how to apply our products to their problems
  • Technical experience and fluency in machine learning applications and designs
  • Knowledge of SQL and distributed computing
  • Knowledge in statistical data analysis and data mining
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Senior Applied Data Scientist Resume Examples & Samples

  • 5+ years industry experience delivering enterprise scalable rich data analytics pipelines
  • 3+ years of data mining and analytics experience using big data technologies
  • 3+ years of experience working with languages e.g. Python, R
  • Proven experience in Predictive Analytics, Recommendation Systems, Statistical Models, Machine Learning and Deep Learning
  • Bachelor’s degree or higher in a Computer Science or related technical discipline or equivalent experience
40

Senior Innovation Scientist Resume Examples & Samples

  • As a senior scientist in the product team this role is responsible for leading a range of Galaxy and Occasions activities within R&D
  • Primarily focussed on the Discovery and Translation phases of Growth activities – but also covering Efficiency through value-leadership projects, and Quality through brand maintenance initiatives as required (Ripple and Galaxy Bitesize may be included)
  • The role is also accountable for supporting the translation (or deploy) process for Galaxy/Occasions 'Design' projects which have been identified for roll-out in other markets/regions - working closely with the Dove GST and cross-regional R&D teams
  • The role will direct activities through an understanding of Desirability/Feasibility/Viability and be able to motivate and direct a range of R&D associates through the Technical ATG and beyond (including interaction with a range of supply and demand functions)
  • Understanding of the Galaxy and Occasions global supply chain and the challenges/opportunities that this creates
  • Leadership of activities through QuEST and DICE processes
  • The role will lead projects which are both clearly defined and which require scoping by this role – using a range of functional/technical knowledge across the R&D model (from front-end to implementation)
  • This role will be responsible for quality by ensuring the consumer, shopper and customer are protected during scale up of activities
  • 5+ years industry experience in R&D (product/pack/process/quality) within food or consumer goods
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Senior Sensory Scientist Resume Examples & Samples

  • Minimum of 5 years experience in sensory evaluation or consumer research, preferably with a consumer packaged goods company
  • Great interpersonal skills with ability to communicate details (both written and verbal) for fact-based decision making
  • Understanding of Design of Experiments (DOE), key driver analysis, advanced statistics, qualitative and quantitative research methodologies
  • Established problem solving/influencing skills and the ability to function in a team-based environment
  • Excellent organizational skills and the ability to multi-task
  • Great teambuilding skills focusing on mentoring and coaching
  • Experienced in research/statistical analysis software applications (e.g., SAS, SPSS, R etc.); actual experience using research/statistical analysis software preferred
  • Expert in MicroSoft Office Software
  • Willingness to taste a wide variety of food products for evaluation purposes
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Senior Managing Data Scientist Resume Examples & Samples

  • Contribute to the direction to the corporate Advanced Analytics team. Assist the Executive Director, Advanced Analytics in setting the team goals and research agenda. Help develop a team comprised of data scientists, statisticians and computational scientists
  • Serve as a key member in the development of new analytics products and strategies supporting the enterprise. Develop product, business and process models, and identify/leverage new data sources
  • Build, refine and leverage predictive and descriptive models, learning algorithms and data mining tools to improve insights, enhance data-driven business strategies and increase profitability
  • Build relationships with internal business partners to find and drive analytic projects and solutions
  • Effectively communicate and translate results to our executive leadership and business unit teams in appropriate business terms
  • 5+ years of experience in developing prediction algorithms, solutions to prescriptive analytics problems, data mining techniques and/or econometric models
  • Demonstrated experience building statistical and/or machine learning systems to solve large-scale customer-focused problems
  • Expertise in leveraging Bayesian and frequentist statistical methods and applying them to real-world business problems
  • Demonstrated ability to match the best analysis methods to a variety of business opportunities and ensure only the very best analytic models are put into production
  • A high level of analytical rigor and the ability to sift through significant amounts of information to enable the development/deployment of effective analytic solutions
  • Demonstrated experience using Python and SQL is required, and knowledge of R is a plus
  • A confident peer influencer with strong communication skills (both oral & written) who quickly establishes credibility at all levels
43

Senior Innovation Scientist Resume Examples & Samples

  • Design, run and document experiments as well as be able to present findings to the business and customers in presentation and written format
  • The incumbent will research and develop ingredients and formulations for skin care
  • Make small samples and pilot batches of new and old formulations for tests and customer sampling
  • Abide by and follow all company Standard Operating Procedures including those for product development and safety
  • Maintain a clean working environment
  • Excellent knowledge in working with various computers software systems such as JD Edwards, DevEx and Microsoft Office
  • Well-versed and comfortable working with standard and pilot-scale laboratory equipment
  • Familiar with procedures to transfer technologies from the laboratory to the production environment
  • Proven ability to work effectively both independently and as part of a team with diverse groups of people at various levels
  • Knowledge of cGMP and API manufacturing procedures and processes is required
  • Knowledge of equipment and procedures for making dispersions and handling powders will be considered a plus
  • Ability to meet deadlines and budgets while being flexible to changes in priorities
  • Knowledge of patent filing
  • Self-motivated but able to work well within a team environment
  • Creative as a problem solver
  • Able to multi-task and coordinate various simultaneous project
  • At least a Bachelor of Science degree with a concentration in Biology or related field. Masters is preferred
  • Minimum of 5 years’ experience in research and product development of ingredients and formulations for Skin Care
44

Senior Software Scientist Resume Examples & Samples

  • Develop algorithms solving the most challenging customer problems targeted for next generation applications
  • Harnessing knowledge of customer use cases and bioinformatics skills, develop innovative ideas and technologies to significantly improve Thermo Fisher Scientific’s software products
  • Responsible for designing, developing, optimizing, and validating robust algorithms for the analysis of mass spectrometry data and the development of prototypes for demonstrating the application of these algorithms
  • Act as a mentor with senior level skills to the software development team providing direction to the product and verifying product meets customer needs
  • Understands established mathematical principles and algorithms associated with processing spectroscopic data
  • Experience and strong understanding of omics – Proteomics, Metabolomics
  • 8+ years of experience in bioinformatics/algorithm development
  • 8+ years of experience in Matlab, R , Python or a scripting language (Perl , etc)
  • Experience in C++, Java or C# is a plus
  • 8+ years of experience in an applicable omics domain
  • Formal training in Biology, Chemistry, Physics, Mathematics, or Computer Science
  • Masters, Ph.D. or equivalent experience preferred
  • The candidate should have a track record of achievement and delivering on significant responsibilities in a timely fashion
  • Comfortable working within an international team
  • Is able to work with minimal direction and find solutions
  • Track record of effectively leading efforts
  • Experience developing commercial software products
  • Experience working within a distributed, international team
  • Experience with Data Mining and Neural Networks
  • A college degree, preferably related to chemistry, physics, mathematics or software development
  • 8+ years of relevant work experience
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Senior Applied Data Scientist Resume Examples & Samples

  • Build proactive multimedia recommendation system to help users discover interesting and valuable content. (Feature link: http://www.bing.com/images?tab=REC )
  • Innovate in mobile new experience to drive user engagement and growth (Smart Phone demo link: http://m.bing.com/images/search?q=coach+handbags )
  • Build query graph to enhance search user exploration experience
  • Build core algorithm to understand image key concept and context by analyzing big data from users, web and image graphs. (Automatically generating hash tag and description for billions of images http://www.bing.com/images/search?q=national+parks)
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Senior Innovation Scientist Resume Examples & Samples

  • Drive and execute key projects in the innovation pipeline for sweet, beverage and savory business units
  • Communicate frequently with all project stakeholders to discuss projects and priorities
  • Interacts with the Global New Product Development Team, the Product Design & Performance Team, Sensient Natural Origins teams in addition to Marketing, Quality Compliance and Manufacturing Operations
  • Writes patient disclosure or technical and/or scientific advancement paper in collaboration with the patent attorney or the R&D manager
  • Provides technical support to key clients and internal commercial personnel
  • Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
  • Designs and executes comprehensive experimental testing protocols based on the research strategy
  • Works closely with teams to ensure alignment of objectives and development of suitable methodologies
  • Develop new extracts and food ingredients based on an extensive working knowledge and understanding of the scientific methods and practical laboratory process involved
  • Provides training and guidance in all experimental aspects of research
  • Experience in the field of natural product chemistry is mandatory
  • Experience with NPD and process development of chemical processes are critical
  • Experience in leading process scale up trials on and off site would be beneficial
  • Experience with IP protection would be favorable
  • A Bachelor’s or Master’s degree in organic chemistry or biochemistry or chemical engineering with a moderate level of relevant work experience
  • Self-motivated with a proven experience in leading R&D projects
  • Good project management skills, direct engagement and an empathetic approach to managing individuals
  • Strong communication and cross division/function Team leadership skills
  • A highly motivated self-starter who is able to think independently, yet work as a team player
  • Innovative thinker who would bring ideas to the innovation group
  • Good project execution skills and laboratory discipline
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CCB Risk-senior Data Scientist Resume Examples & Samples

  • Design, execute, and interpret statistical analyses to drive insights and strategy
  • Experience in the development of statistical and machine learning models (e.g. logistic regression, random forests, gradient boosting, neural networks)
  • Leverage creative analytical problem solving skills while using large data sets from a broad range of sources
  • Query enterprise databases using SQL to obtain relevant data for analysis
  • Write computer programming code in R, SAS, Python, and Scala to perform statistical analyses and develop machine learning solutions to business problems
  • Use classical and modern statistical techniques (hypothesis testing, AUC, correlation analysis, clustering analysis) to draw coherent conclusions about the business’s data
  • Effectively reshape data to run efficiently on advanced analytics platforms including Hadoop using Spark
  • Translate classical statistical methods written in SAS and R into code that can execute using Spark
  • Write summary documentation of analyses performed for both technical and non-technical audiences within the firm
  • Present results to peers and higher levels of management
  • Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems
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Senior Consultant, Data Scientist Resume Examples & Samples

  • Make it easier to perform high quality analytics & provide access to data, platform and tools
  • Enable experimentation to drive innovative solutions for our customers powered by analytics
  • Leading analytic experiments in the Analytics Hub
  • Thought leadership in the approach to analytics at the bank
  • Demonstrating value and benefit from advanced analytics to senior stakeholders
  • Strong and effective senior stakeholder management and capability to influence
  • Ability to communicate clearly with strong influencing skills, engage and work collaboratively with stakeholders to execute NAB's analytics strategy
  • Predictive Modelling
  • Feature Engineering
  • SAS and SAS Visual Analytics
  • Python (NumPy, SciPy, etc)
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Senior Data Scientist, Business Intelligence Resume Examples & Samples

  • Research and develop state-of-the-art machine learning, data mining and statistical modeling solutions to understand player behavior, with particular regards to how players communicate within our games and ecosystem
  • Design and develop innovative solutions to problems such as forum sentiment analysis, document clustering, topic identification, and toxicity classification
  • Effectively translate findings into actionable recommendations for senior leaders on game design and business teams
50

Senior Image Scientist Resume Examples & Samples

  • Experience and hands-on practice in image quality tuning and auto-exposure, auto-white balance and auto-focus (3A)
  • Experience with image pipeline in still and video cameras
  • Experience with image quality tuning, lab characterization, field testing plan and reporting with the constraints of realistic product schedule
  • Experience with streaming devices and digital still cameras
  • Experience evaluating imaging aspects of various ISP and sensor solutions
  • Experience interfacing directly with ISP vendors
  • Experience developing algorithm with Matlab
  • Experience implementing algorithm in C/C++
  • Bachelor's degree Math, Physics or Electrical Engineering and more than 2 years of experience in camera development
  • High definition and 4k video experiences. Experiences in Sports and Action Cam, DSC, mobile phone camera modules, tablet camera modules
  • Experience developing algorithm and analyzing image data with Python + OpenCV
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Senior Consumer Scientist Resume Examples & Samples

  • Understands and applies multivariate statistical methods to gain deeper understanding and insights from research conducted when appropriate
  • Lead the execution of CAD (Consumer Aided Design) work including leading the design of the research program and all executional elements including Knowledge Mapping, Value Diagramming, Product Labs and subsequent analysis and reporting of results
  • To provide support to the Consumer Science management team by role modelling leadership behaviors and deputizing for line manager as required
  • Bachelor’s Degree required (in a scientific subject)
  • PHD or Master’s Degree is a plus
  • 5 or more years of sensory / consumer science experience in industries such as food, chemical, fragrance, flavor, pharmaceutical, beauty products, or other household goods
  • Experience linking consumer and sensory data into a compelling story
  • Track record in effective partnering with clients and/or stakeholders
  • Ability to extract strategic impact from tactical activities and vice versa and redirect activities based on evolving strategic goals
  • Strong analytical and interpersonal skills
  • Proven problem solving and decision making skills
  • Excellent project/time management & organizational skills
  • Experience in systems application specifically Excel, Word and PowerPoint