Scientist Analyst Resume Samples

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LK
L Kuhlman
Lorenza
Kuhlman
4940 Trantow Burgs
San Francisco
CA
+1 (555) 472 7634
4940 Trantow Burgs
San Francisco
CA
Phone
p +1 (555) 472 7634
Experience Experience
Boston, MA
Scientist Analyst
Boston, MA
Blick Group
Boston, MA
Scientist Analyst
  • Prepare samples for ingredients, intermediate products, finished products, or other materials in order to perform routine analyses according to the method SOP and/or procedure
  • Perform routine chemical analyses by non-instrumental methods and instrumental methods in order to determine the composition of samples and comparison of results to specifications
  • Prepare standards or standard curves to perform quantitative analyses
  • Perform data audit in order to ensure accuracy of data and analytical processes. This may include database queries, statistical process control or correlation study
  • Record data from analyses or experiments in a computer, log book or laboratory notebook
  • Maintain laboratory equipment and instrumentation (e.g., troubleshooting, conducting preventative maintenance, calibrating and repairing)
  • Dispose of expired retained samples and chemicals according to schedules and expiration dates in order to keep lab area clean and safe
Philadelphia, PA
Gdi&a Direct Hire-data Scientist / Analyst
Philadelphia, PA
Terry, Pollich and O'Conner
Philadelphia, PA
Gdi&a Direct Hire-data Scientist / Analyst
  • Create analytics for Manufacturing, Purchasing, Product Development, Human Resources, Legal, and other areas of the business where data can drive improvements
  • Develop and implement analytics models and visualization tools for Manufacturing Processes and Supply Chain Management
  • Data development and management including transactional and 3rd party data sources
  • Work with large data sets from multiple sources and create visualizations to answer key business questions
  • Develop and operationalize data standards, quality and governance across the enterprise
  • Research and develop models to quantify exposure to various sources of risk (credit, residual, market, operations, regulatory and compliance)
  • Develop new data sources and analytic methods
present
Houston, TX
Senior Data Scientist / Analyst
Houston, TX
McClure and Sons
present
Houston, TX
Senior Data Scientist / Analyst
present
  • Evaluates and validates correctness of models created by peers. Assesses and confirms performance of models and analysis
  • Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals
  • Work with solutions marketing to help develop collateral and digital assets to support product launch and marketing
  • Assist in scoping and designing analytic projects and solutions. Contribute to brainstorming sessions
  • Create wire frames, mock ups and interactive prototypes to demonstrate ideas to internal and external customers
  • Execute analytic projects ranging from small to large either individually or as part of a project team
  • Helps to build and manage a best-in-class predictive analytics team
Education Education
Bachelor’s Degree in Winter 2016
Bachelor’s Degree in Winter 2016
Iowa State University
Bachelor’s Degree in Winter 2016
Skills Skills
  • Good organizational skills and ability to work independently in a fast paced and deadline driven environment
  • Dispose of expired retained samples and chemicals according to schedules and expiration dates in order to keep lab area clean and safe
  • Prepare standards or standard curves to perform quantitative analyses
  • Perform data audit in order to ensure accuracy of data and analytical processes. This may include database queries, statistical process control or correlation study
  • Record data from analyses or experiments in a computer, log book or laboratory notebook
  • Maintain laboratory equipment and instrumentation (e.g., troubleshooting, conducting preventative maintenance, calibrating and repairing)
  • Process incoming or outgoing samples (e.g., receiving, logging, labeling, shipping) using LIMS or other tools to ensure that samples are traceable and properly distributed for analysis
  • Perform routine chemical analyses by non-instrumental methods and instrumental methods in order to determine the composition of samples and comparison of results to specifications
  • Prepare samples for ingredients, intermediate products, finished products, or other materials in order to perform routine analyses according to the method SOP and/or procedure
  • Basic Analytical Chemistry: Knowledge of qualitative and quantitative chemical analysis. This includes preparation, separation, detection and other techniques and applying concepts of precision and accuracy. It also includes understanding new developments in the field and their effect on our products, ingredients and packaging materials
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15 Scientist Analyst resume templates

1

Am, Data Scientist / Analyst Infrastructure Resume Examples & Samples

  • Leverage tools like Business Objects, Qlikview, Spotfire, Splunk, NoSQL & SQL to drive efficient analytics
  • Communicate recommendations and drive improvements
  • Exhibits expertise in core areas: process knowledge, systems thinking, software development, analytical, collaboration, and technology platform management
  • Exploratory Analysis
  • Substantial experience with the use of relational databases using SQL for data extraction, management , and queries (MSSQL, Oracle, Sybase)
  • Knowledge of NoSQL data stores and Cassandra
  • Must be able to address multiple priorities in an extremely fast-paced environment
2

Associate Scientist Analyst Resume Examples & Samples

  • Perform analytical and/or biochemical tests according to international pharmacopeial, regulatory and corporate standards in a timely and organized fashion
  • Generate data and interpret results within required due dates for release and stability
  • A Bachelor Degree or Masters Qualification in Chemistry, Biology, Biotechnology or a related field with knowledge of analytics and/or stability
  • A minimum of 3 years of industry experience preferred but less will be considered
  • Experience in 'large molecule' (Biologics) separations analytical technology is desired
  • Experience in Empower software and Waters, Agilent, Protein Simple and Beckman instrumentation is a benefit
  • Experience in Lean Tools/Project Management is a benefit
  • Analytical skills required to troubleshoot laboratory issues
  • Experience with LIMS systems is required
  • Customer focus and result driven
  • Ability to work well within team structures and provide leadership is required
3

Associate Scientist / Analyst Resume Examples & Samples

  • Keep up to date with existing and new SOP's and official documentation
  • Contribute to proper use, calibration and maintenance of laboratory equipment
  • Perform investigations, where required, for deviations, Out-of-Specification Results etc
  • Perform sample management activities. Coordinate receipt and distribution of samples throughout the laboratories. Perform other duties as designated by Laboratory Management. Develop subject matter expertise on assigned analytical techniques
  • Independently write/revise SOP's or other official documentation and reports, when required
  • Execute independently assigned projects
  • Train / coach other analysts and new personnel
  • A Bachelor Degree or Masters Qualification in Chemistry, Biology or a related field with knowledge of analytics and/or stability
  • At least 2-3 years of industry experience
  • Practical analytical laboratory experience in a GMP environment is required
  • A good basic knowledge of some of the following techniques (SEC-HPLC, ELISA SDS-PAGE, Capillary SDS, Residual Moisture, pH, Turbidity and or Bioassays) is an advantage
  • A knowledge of Sample Management is an advantage
  • Experience with LIMS systems is desirable
  • Analytical skills to troubleshoot laboratory issues are an asset
4

Scientist Analyst Resume Examples & Samples

  • Prepare samples for ingredients, intermediate products, finished products, or other materials in order to perform routine analyses according to the method SOP and/or procedure
  • Perform routine chemical analyses by non-instrumental methods and instrumental methods in order to determine the composition of samples and comparison of results to specifications
  • Follow laboratory procedures to ensure conformance to internal (e.g., The Coca-Cola Quality System) or external certification requirements and correct non-conformance items as instructed
  • Perform data audit in order to ensure accuracy of data and analytical processes. This may include database queries, statistical process control or correlation study
  • Process incoming or outgoing samples (e.g., receiving, logging, labeling, shipping) using LIMS or other tools to ensure that samples are traceable and properly distributed for analysis
  • Dispose of expired retained samples and chemicals according to schedules and expiration dates in order to keep lab area clean and safe
  • Identify, classify, maintain, and protect files, documentation and sensitive information consistent with record handling and retention requirements
  • Good organizational skills and ability to work independently in a fast paced and deadline driven environment
5

Scientist Analyst Resume Examples & Samples

  • Organize workflow and task schedules to maximize laboratory efficiency (e.g., prioritize sample analysis, assign tasks, preventative maintenance)
  • Perform chemical analyses using instrumental methods in order to determine the composition of samples
  • Conduct inspection of the laboratory or laboratory procedures to ensure conformance to internal (e.g., The Coca-Cola Quality System) or external certification requirements and correct or eliminate process-related non-conformance items
  • Develop or validate laboratory test methods or equipment (sampling, monitoring, analytical procedures) in order to ensure reliability and accuracy of analytical results. This may include performing capability studies
  • Perform microbiological tests in order to determine viable organisms or total counts. Methods may include microscopy
  • Attend routine presentations and refresher courses regarding safety and environmental issues (e.g., waste disposal) to ensure up-to-date knowledge and adherence to related company policies
  • Basic Flavor/Juice Chemistry: General knowledge of the organic chemistry of fruit juices, essential oils and other flavor compounds that are relevant to Company products
  • Chromatography: Knowledge of the principles and techniques of chromatographic separations and their application to the analysis of ingredients, syrups, beverages, concentrates or other substances. This includes the ability to use chromatographic techniques for quantitative and qualitative analyses
6

Senior Data Scientist / Analyst Resume Examples & Samples

  • Build deep understanding of Revenue & Pricing domain
  • Exhibit strong skills in using advance statistical analysis, data mining and predictive modelling techniques
  • Helps to build and manage a best-in-class predictive analytics team
  • Eliminate any potential Revenue loss and inaccurate billing by developing deep insight on data and detecting issues before it gets to billing. Use a combination of Data Quality, Advanced Statistical Techniques and Machine Learning to detect potential Revenue leakage and perform root cause analysis
  • Partners with business customers as a thought leader and analytics SME to identify business opportunities that the analytics team can support
  • Analyzes data sets using complex analytics techniques such as machine learning algorithms, advanced statistical analysis, mathematical optimization and simulation
  • Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals
  • Develops actionable insights and solutions to strategic business challenges by leveraging advanced modeling techniques
  • Through visualizations and summarizations, defines performance and identifies trends, outliers and drivers
  • Evaluates and validates correctness of models created by peers. Assesses and confirms performance of models and analysis
  • Evaluates and validates that analysis and models meet business objectives
  • Doctorate or Masters or Bachelors in Statistics, Mathematics, Analytics, or Data Science is preferred
  • 5 or more years of hands-on experience in Advanced Analytics Industry developing sophisticated models using statistical, mathematical and machine learning techniques
  • Understanding and familiarity of Revenue & Pricing domain preferred
  • Solid hands-on skills in cleaning, manipulating, analyzing, visualizing and modeling (predictive) large data sets using standard tools & technologies such as Hadoop, SAS, SQL, R , Python, Spark or similar
  • Solid experience in Tableau will be an added advantage
  • Develop and validate advance data mining tools, algorithms, and other capabilities to solve business/revenue problems. Working experience on Data Mining models including Naive Bayes Model, K-means clustering, Logistic Regression Analysis, and Time Series Analysis is required
  • Hands-on experience in using various predictive models including Decision tree, Artificial Neural Networks (ANNs), Linear Regression, Support Vector Machines (SVM), TreeNet, Ensemble, etc
  • Exposure or working knowledge on various statistical techniques including Poisson & Normal distribution, f-test, t-test, Correlation and Regression Analysis, sampling techniques such as randomized sampling, cluster sampling and stratified sampling; Bayes's theorem (inferential statistics)
  • Demonstrates abilities in analytical thinking leading to the formulation of independent decisions and recommendations
  • Ability to convey complex technical insights to specialists and generalist audience
7

Data Scientist Analyst Resume Examples & Samples

  • Is familiar with disciplines such as Natural Language Processing, predictive modeling, statistical analysis and hypothesis testing
  • Experience creating senior leadership reports and briefing material related to risk assessments and areas of vulnerability
  • Experience conducting research on industry leading practices for business intelligence matters within the IC
8

Gdi&a Direct Hire-data Scientist / Analyst Resume Examples & Samples

  • Leverage latest techniques in machine learning and ‘big data’ to model internal and external data sources
  • Forecasting vehicle sales and marketing outcomes
  • Analyzing / Optimizing marketing activities
  • Lead new initiatives in the areas of autonomous vehicles and sustainability
  • Support connectivity and mobility solutions
  • Data development and management including transactional and 3rd party data sources
  • Develop and implement analytics models and visualization tools for Manufacturing Processes and Supply Chain Management
  • Develop and operationalize data standards, quality and governance across the enterprise
  • Develop new data sources and analytic methods
  • Work with large data sets from multiple sources and create visualizations to answer key business questions
  • Research and develop models to quantify exposure to various sources of risk (credit, residual, market, operations, regulatory and compliance)
  • Create analytics for Manufacturing, Purchasing, Product Development, Human Resources, Legal, and other areas of the business where data can drive improvements
  • Students graduating from a Bachelor’s, Masters or PhD program with a concentration in a quantitative field such as Math, Statistics, Economics, Computer Science, Operations Research, Engineering or Physics
  • GPA of at least 3.0 on a 4.0 Scale (or equivalent)
  • Expected graduation date is no later than May 2017
  • Experience with Microsoft Excel, PowerPoint and Word
  • Demonstrated skills in large scale data manipulation, machine learning and mining / pattern recognition
  • Critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems
  • Familiarity with topics such as maximum likelihood estimation, linear and non-linear modeling, causal inference, density estimation, optimization, scheduling, time series forecasting, stochastic processes, survival analysis, data blending and data visualization, multivariate techniques such as PCA, factor analysis and cluster analysis
  • Experience with tools such as Hadoop, Alteryx, QlikView, Tableau, Apache, Spark, Caffe or other deep-learning libraries
  • Strong programming skills; Experience in R, Python, SAS, SQL or Matlab
9

Senior Data Scientist / Analyst Resume Examples & Samples

  • Work with manager and clients to fully understand business requirements and desired business outcomes
  • Assist in scoping and designing analytic projects and solutions. Contribute to brainstorming sessions
  • Execute analytic projects ranging from small to large either individually or as part of a project team
  • Manage project and client relationship for small projects
  • Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
  • Research industry metrics and business context and bring this context to bear in analyses
  • Ensure project delivery within timelines and budget requirements
  • Present findings and recommendations to internal clients
  • Identify opportunities to create and automate repeatable analyses or build self-service tools for business users
  • Propose R&D ideas that will address client strategic needs or advance ADP IP
  • Contributes to team-wide efforts for achieving organizational goals, improving processes and knowledge sharing
  • Perform other tasks on an as-needed basis​
  • Good business acumen and experience interpreting data to draw business insights
  • Articulate communicator able to translate data and technical concepts for a business audience
  • Apply project management skills and techniques
  • Team oriented, energetic, collaborative, diplomatic, and flexible style
  • Demonstrated intellectual and analytical rigor, strong attention to detail
  • Intellectually curious and continuously striving to learn
  • High level of competence in Excel and PowerPoint
  • Experience with data visualization and business intelligence tools like Tableau, Microstrategy, or other programs
  • High level of competence with SQL syntax for extracting and aggregating data
  • Real world experience using Hadoop is also preferred
  • Proficiency with programming languages for data and statistical analysis, such as Python, SAS or R, is also highly desirable
  • Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc) is very helpful
  • 3 to 5 years of experience in an analytical or quantitative role in areas such as consulting, planning, analytics, or data driven strategy
  • Bachelor's Degree in quantitative field (Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience) is required
  • Master's Degree in quantitative field will be given preference
  • Experience in credit cards, financial services, merchant analytics (such as retail, hotels or airlines), or tech is helpful but not required​
10

Data Scientist\analyst Resume Examples & Samples

  • The Data Analyst will be responsible for data analysis and produce analytical reports
  • Feeding analysis and briefings into management meetings and to the senior board. Ability to understand the meaning and use of the data, as well as analyze the data quality
  • Perform duties such as collecting, parsing, tagging, analyzing, mapping, managing, and visualizing large sets of data
  • Solve business problems, determining patterns and insights within structured and unstructured data, coming up with analytics strategies and solutions
  • Responsible for delivering regular, timely and actionable data insight and providing detailed analysis Manage delivery of day to day activities for assigned workstream aligned to overall project objectives. Primary focus will be on all data related matters
  • Acquire, incorporate, interpret, analyze and explain data acquired for the project deliverables
  • Communicate data findings, issue, logic applied
  • Develop solutions to improve data usability and manageability
  • Prepare documentation which captures data acquired, logic applied (e.g. inclusions, exclusions), methodologies, etc
  • Filter and “clean” data to ensure data is consistent, aggregated and usable
  • Support programme/project governance structure and meetings, assisting the project manager in the preparation of materials, minutes and actions
  • Pro-actively assist project manager and work stream leads in the management and resolution of issues & risks
  • A master's degree in research, or related quantitative discipline with
  • Expertise in statistical analysis environments such Spotfire, relational databases as well as Big Data (Hadoop based) data mining frameworks is required. Key skills and responsibilities would include
  • A university degree
  • BA / PM experience
  • Experienced w/ MS Suite (incl Project, PowerPoint, Excel, Access and SharePoint)
  • MI and data Analytics experience (e.g. use of Spotfire, Qlikview tools)
11

Senior Data Scientist / Analyst Marketing Resume Examples & Samples

  • Be an expert for data science as well as marketing topics and be simultaneously part of an agile analytics team that supports each other across all topics which allows us to always be focused on the most important topics for eBay Kleinanzeigen
  • Apply techniques such as machine learning, data mining and advanced statistics to design and implement models and algorithms that solve real-world marketing problems like customer segmentation, channel attribution, marketing performance and CRM optimization
  • Work closely together with the marketing team to develop new ideas, test them and measure success
12

Big Data Senior Scientist / Analyst Resume Examples & Samples

  • 10-15 years as data scientist, yield engineer, or statistician
  • Strong working knowledge of Minitab, JMP, or Statistica, SQL
  • Solid competency in statistics, working knowledge of data mining algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks
  • Strong knowledge of cell and pack battery engineering will help to facilitate creative insight to data analysis. Deep knowledge of battery chemistry and mechanical a plus
  • Must have demonstrated big data “wins” within battery space
  • Expert level in Tableau or similar analytics and business intelligence SW
  • Understanding of quality improvement discipline and philosophy such as Juran, Demming
  • Experience with Apache Spark, Hadoop, Cassandra or other big data technologies
  • Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment
  • Proven Creativity to go beyond current tools to deliver best solution to the problem
  • Strong programming skills in Python, Java, C++, MySQL or similar language {This should be moved to “Experience”}
13

Master Ibm-data Scientist / Analyst Resume Examples & Samples

  • Demonstrated history of achievement and leadership in academics, internships, and work
  • Experience in R, Python, or SPSS as well as with machine learning, artificial intelligence, natural language processing, data science or other advanced analytics algorithms
  • Excellent communication, interpersonal, and time management skills
  • Outstanding analytical skills, including the ability to apply logic reasoning to solve problems
  • Passionate about identifying, designing, and building solutions to challenging issues and problems
  • Either Touch points with big data technologies such as Spark, Hadoop, and NoSQL or
14

Data Scientist Analyst Resume Examples & Samples

  • Develops advanced statistical and econometric models to predict, quantify or forecast various operational and performance metrics
  • Provides technical expertise and guidance to less experienced employees when developing and implementing model results in Waste Management's ongoing business processes
  • Actively researches analytic methodologies form varying sources (refereed journals, technical publications, white papers, etc.) to guide development and delivery of analytical solutions
  • Demonstrated experience leading an integrated solutions development team to provide value to systems engineering and development for specific decision support application
  • Applied experience working with large-scale data sets in an advanced data mining analytic role
  • Knowledge and working experience in statistical software: Stata, R, SAS (SAS preferred)
  • Knowledge and working experience in mathematical optimization software (preferably Gurobi, or ILOG/CPLEX)
  • Familiarity with computer simulation techniques (Monte Carlo, discrete event and continuous modeling)
  • Excellent verbal and written communication skills (necessary to communicate and articulate complex information to all levels of the organization including technical and non-technical audiences)
  • Committed and highly motivated team player
  • Required to exert physical effort in handling objects less than 30 pounds rarely
  • Required to be exposed to physical occupational risks (such as cuts, burns, exposure to toxic chemicals, etc) rarely
15

Data Scientist Analyst Resume Examples & Samples

  • Provide Analytic infrastructure / Big data technologies related support to Data operations and Analytic teams
  • Grow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of tools
  • Manage projects to roll out and support tools to GDIA team members
  • Bachelors Degree in Computer Science, Engineering or Information Systems
  • 3+ years of hands on experience with Big data and technologies including HDFS, Mapreduce, Pig, Hive, Sqoop, Flume, Oozie and NOSQL
  • Strong experience in SPARK with more than two years of hands on experience developing data engineering solutions
  • Experience managing teams/projects; good communication/collaboration skills
  • Masters degree in Computer Science, Engineering or Information Systems
  • Hands on experience developing Analytic solutions using R and Alteryx
  • SPARK HDFS Mapreduce Pig Hive Sqoop Flume Oozie NOSQL Basic Project Management
  • R Alteryx
16

Data Scientist / Analyst Resume Examples & Samples

  • Evaluate pricing methodologies using data mining and optimization techniques
  • Maintain and enhance previously-developed models and tools; develop tracking methodologies and reports to monitor model accuracy and evaluate performance; prepare analyses to back-test and compare competing modeling methodologies
  • Support the deployment of analytical tools to business partners; communicate and present models to business customers and executives
  • 3+ years of experience with statistical software solutions (for example: SAS, STATA, EViews, etc.)
  • Demonstrated track record of project development, management, and implementation
  • Strong organization, collaboration (teamwork), and communication skills (oral and written)
  • Inquisitive, proactive, and interested in learning
  • Well-organized, independent, and ready to work with minimal supervision
17

Senior Data Scientist / Analyst Resume Examples & Samples

  • Experience with analyzing data stored in an SQL DB and optimizing SQL queries – MSSQLServer or AzureSQL experience are of advantage
  • Work with RegExp or similar approaches to extract info/data of interest from text files (log files)
  • Statistical background (percentiles, outliers, sample size effects, hypothesis testing, confidence intervals, regression, classification)
  • Experience with data visualization and presentation of analysis results
  • Python/Perl/Powershell/ scripting/programming
  • Self-dependent way of working, curiosity, good time management, and good communication skills with fluency in written and spoken English
  • Knowhow of MS Azure, Amazon or other cloud infrastructure
  • Experimentation design or A/B testing experience
  • Basics in software architecture: client-server, web services, load balancing
  • Windows or Linux, Networking and System Administrations basics
  • MS Windows PerfMon, ResourceMonitor (some experience with basic metrics like Disk, CPU, RAM and Network)
  • Basic know-how about speech recognition
  • Experience with running services in some SaaS environment – MS Azure preferred; Amazon Web Services Google App Engine or similar also acceptable
18

Senior Data Scientist Analyst Resume Examples & Samples

  • Knowledge and experience with GEOINT Systems
  • Experience at operation sites in support of development, testing, and checkout of prototype systems
  • Experience with algorithm development and transitioned to operational systems
  • Experience in systems engineering, modeling and simulation, signal processing product engineering and development
  • Knowledge and experience in one or more of the Signal Processing Disciplines
19

Integration Services Data Scientist / Analyst Resume Examples & Samples

  • Focusing on data mining and analysis, providing clear target cases based on data analytic insights, using big data techniques
  • Produce and maintain analytical dashboards and reports; analyze IT service data such as tickets, logs, and inventory for service improvement, automation, and cost-saving opportunities
  • Developing tools and code to perform analysis and modeling
  • Lead analytics initiatives with internal stakeholders/data scientists as well as external vendors
  • Share data insights, develop improvement actions, and drive delivery with support, engineering, and service quality management teams
  • Manage projects and delivery on ad-hoc basis
  • Actively commit to the innovation and human capital agenda of Group CTO. Assist in organizing events on innovation and career development. Maintain good relationship with vendors and keep the internal community updated about innovative technologies. Help build the innovation culture in IT
20

Data Scientist Analyst Senior Resume Examples & Samples

  • Leverage data-mining and statistical tools and processes to identify, quantify and predict consumption issues facing the H-60, and to pursue root-cause of these issues
  • Contribute statistical and data-mining ability, as well as aircraft reliability, maintenance and operational H-60 knowledge
  • Communicate analytical findings to Program Management on a regular basis
  • Perform Ad-Hoc analyses as required
  • Ensure on-time delivery, quality, and accuracy associated with all outputs
  • 4-7+ years experience in reliability engineering, aircraft maintenance and operations analysis or related field
21

Senior Data Scientist / Analyst Resume Examples & Samples

  • Work with product management and engineering to improve usability and consistency across all cloud based products
  • Create wire frames, mock ups and interactive prototypes to demonstrate ideas to internal and external customers
  • Conduct usability testing for new or existing products and drive interaction improvement back into the products based on findings
  • Work with solutions marketing to help develop collateral and digital assets to support product launch and marketing
  • Participate in a division level UI / UX team to drive standardization across all product lines
  • Develop reusable assets and style guides to ensure a uniform look and feel across all products
  • Exceptional interaction design skills and knowledge of UI and UX standards and trends
  • Skilled at creating site maps or workflows and wireframes (e.g., using Omnigraffle, Balsamiq or similar tool)
  • Skilled at delivering high fidelity visual assets using graphic and web design tools (Adobe Creative Suite, Photoshop, Illustrator)
  • Knowledge of the latest web design standards and technologies
  • Proficiency with HTML5 / CSS3
  • Familiarity with responsive design frameworks (e.g., Bootstrap)
  • Ability to define requirements and set priorities
  • An interactive, collaborative design and working style
  • Comfortable applying user research findings to product design
  • Experience designing for mobile platforms
  • Prior experience in health care and / or design of solution for professional verticals
  • Basic understanding of JavaScript & Jquery
  • Knowledge of prototyping tools and processes
  • Speech experience
  • Experience content design/strategy