Analytics Scientist Resume Samples

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H Boyle

Haylie

Boyle

71556 Sister Inlet

Dallas

+1 (555) 102 7203

71556 Sister Inlet

Dallas

Phone

p +1 (555) 102 7203

Experience Experience

Chicago, IL

Analytics Scientist

Chicago, IL

Harris Inc

Chicago, IL

Analytics Scientist

Developing metrics and reports to monitor model accuracy and evaluate performance
Develop and implement Machine Learning models for manufacturing processes improvement
Execute both descriptive and inferential ad hoc requests in a timely manner
Research and develop VaR type models to quantify portfolio exposure to unexpected Residual risk
Developing and executing models to support business questions
Work closely with business customers, IT, and other analytical teams within the GDIA organization
Work with various data sources and platforms (e.g., PC, Hadoop, Teradata) to compile data

San Francisco, CA

Data Analytics Scientist

San Francisco, CA

Murray-Halvorson

San Francisco, CA

Data Analytics Scientist

Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Leverage existing P&W teams, and partner with GE Software, global research, and other business units
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Work with data engineers on data quality assessment, data cleansing and data analytics
Communicate methods, findings, and hypotheses with stakeholders
Specialized Data Science or Research in advanced analytics field

present

Detroit, MI

Data & Analytics Scientist

Detroit, MI

Labadie, Zieme and McDermott

present

Detroit, MI

Data & Analytics Scientist

present

Work in technical teams in development, testing/ validation, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Regular workday presence on-site is expected (occasional remote-work is permitted)
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
Leverage existing Power teams, and work collaboratively with GE Software, Global Research, and other business entities
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Perform assigned tasks and project assignments

Education Education

Bachelor’s Degree in Computer Science

Arizona State University

Bachelor’s Degree in Computer Science

Skills Skills

Developing and executing models to support business questions
Fully understand the complex scorecard data structure
Investigate data issues
Maintain operational models and algorithms through their lifecycle
Continuously explore ways to enhance models and find opportunities in origination and collection area
Developing metrics and reports to monitor model accuracy and evaluate performance
Preparing analysis to back-test and compare competing models and methodologies
Work with data sources on multiple platforms (PC, Mainframe, Unix/Linux, and Teradata)
Execute both descriptive and inferential analyses in a timely manner
Effectively communicate and present technical material to a broad audience

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15 Analytics Scientist resume templates

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Analytics Scientist Resume Examples & Samples

Translating high-level ideas specifically in the product, engineering, and marketing domains into well-defined mathematical problems
Developing empirical models using traditional, modern, or machine-learning related regression techniques for the purposes of prediction and gaining insights
Developing and implementing optimal or near-optimal solutions and distributing appropriately in a timely manner and
Being able to “Tell a Story” by communicating effectively orally (via presentations) and writing (via reports)
Provide proficiency in writing code in R, Minitab, Python, Tableau, Qlikview, and SAS to perform analyses and display, and develop empirical models
Will design, generate, and analyze data arising from designed experiments using tools such as R, Minitab, SAS, Tableau, and Python
Masters of Science in statistics, mathematics, predictive analytics, industrial engineering
3+ years’ experience and familiarity working in the automotive industry in areas such as vehicle development, engineering, and/or marketing
PhD statistics, mathematics, predictive analytics, industrial engineering or other related field(s)
3+ years’ experience developing regression models using traditional, modern (i.e. regularized)
Knowledge and experience of Ford's Product Development process

Analytics Scientist Resume Examples & Samples

Research and improve on existing forecast models of used vehicle values
Research and improve on existing forecast models of expected residual value risk
Research and develop VaR type models to quantify portfolio exposure to unexpected Residual risk
Communicate and present models to business customers and executives
1+ years of Model Development experience
1+ years of Linux and Windows experience
Background/Working knowledge in Statistics or academic equivalent
Experience in and interest in learning new technologies
Experience managing multiple projects and working independently
R, Matlab, SAS coding experience
Strong interest in creating solutions to problems
Good communication and written skills
Linear and Non-linear Models, Time Series, Survival Analysis experience

Data & Analytics Scientist Resume Examples & Samples

Expertise in flight operations or aircraft engines performance
Expertise in project management is an advantage
Familiarity with civil or military aviation or aerospace
Familiarity in the use of Lean and six sigma tools and techniques
Ability to communicate with all levels of internal and external customer organizations

Senior Data & Analytics Scientist Resume Examples & Samples

Data exploration and model builidng targeting given CTQs (field issue investigations, shop cost investigations)
Understand the correlation of the various engine parameters and provide insight using data
Communicate results, findings and observations in clear and concise documents (presentations, reports, technical articles) to peers and program leader in formal/informal reviews
Document technical data generated by the assigned project consistent with engineering policies and procedures
Effective multitasking and deliver on time with quality
Participate on teams assigned to address organizational initiatives and generic issues
Guide young engineers
Candidates should hold a Bachelor's/Master's degree preferably in Statistics/Computer Science/Information Systems from a reputed institution and an excellent academic record
Hands-on experience with projects involving Exploratory Data analysis, Model building, Model assessment, Pattern Recognition, machine learning
Hands-on experience in information retrieval, architecture involving handling large volumes of data
Strong programming skills in R, Python etc
Possess excellent written and verbal communication skills
Good Gas Turbine fundamentals understanding or experience would be viewed favourably

Data Analytics Scientist Resume Examples & Samples

Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Develop, verify, and validate analytics to address customer needs and opportunities
Leverage existing P&W teams, and partner with GE Software, global research, and other business units
Work as part of a cross-functional team to translate algorithms into commercially viable products and services
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 7 years analytics development for industrial applications in a commercial/industrial setting
Demonstrated expertise in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated expertise in data visualization and storytelling to translate complex data into customer insight
Demonstrated expertise in modeling, feature extraction, and the development and application of descriptive, applied, and predictive analytics on industrial datasets
Demonstrated expertise in data science technology and industry trends
Ability to influence in dynamic environment and across teams in multiple/global locations
Demonstrated skill in one or more industry sectors of power generation – gas turbines, combined cycle plants, coal powered, reciprocating engines, wind, solar, - power distribution, control systems, & micro-grid

Principal Data & Analytics Scientist Resume Examples & Samples

Create and implement cutting-edge technical breakthroughs in the application of machine learning & contemporary data science algorithms to solve GE Aviation problems
Understand business needs and propose technical solutions and roadmaps for execution
Determine methodologies needed; apply such methodologies (e.g. Neural Nets, Deep Learning, Active Learning, Random Forest, Bayesian methods, etc.) on monitoring, classification, computer vision and related research domains
Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as Python, R . Explore, determine & develop technical approaches to be used and apply them on major challenges
Interface closely with aviation functional counterparts to understand/define requirements, domain knowledge/models, and data needs
Effectively communicate technical analyses and results
Lead and support activities related to external funding opportunities from data science perspective
Be responsible for leading the execution assignments in focused technical area; work on pre-defined activities with guidance
Support and guide the analytics/data science implementation methodology
Serve as a technical expert/mentor and aspire to continuously expand your expertise within the field of machine learning to support growth of the data driven applications in aviation
Identify industry and academic trends in the areas of machine learning research and industrial applications of ML relevant to GE Aviation
Co-own and develop the technology road map for the application of data driven techniques for aviation related problems (Field investigation, product reputation, supply chain, materials , test cell data, work scope planning…)
8 + years of experience in applying theoretical or experiential knowledge on machine learning & artificial intelligence to solve real world problems
Advanced degree in Computer Science, Mathematics, Applied Statistics, Operations Research or in Engineering
Foundation in theories underlying machine learning and artificial intelligence techniques
Experience in developing machine learning packages with modern programming languages e.g. Python, R etc
Must be willing to work out of an office located in San Ramon, CA
Must be willing to take a drug test and submit to a background investigation as part of the selection process
Background and passion in solving aviation industry problem
Experience with designing and prototyping algorithms on industrial data
Experience in applying machine learning and artificial intelligence to industrial problems
Knowledgeable with relational databases & SQL concepts
Strong working knowledge and experience working with big data technology e.g. Hadoop and MapReduce
Interest/Experience in large data sets, cloud based architectures and deployment frameworks for machine learning algorithms
Strong analytical skills, with demonstrated reputation including publications / development / deployment experience
Hands on experience with medium scale distributed compute infrastructure deployment is a plus
Excellent teamwork and customer focus

Data & Analytics Scientist Resume Examples & Samples

Interpret engineering documents related to airborne recording systems and produce application configurations to access parameterized flight data
Coordinate with managers, stakeholders, and peers to identify open tasks,
Produce documentation and provide appropriate communication for assigned responsibilities
Serve as a primary interface with internal and external customers for application support and analytic development
Organize, monitor and script the extraction, transcription and loading (ETL) of large sets of data files or records
Perform assigned tasks and project assignments
Bachelor of Science in a STEM field (or a high school diploma/GED with at least 4 years of experience in aerospace information management)
Able and willing to travel 10% of time
Regular workday presence on-site is expected (occasional remote-work is permitted)
ELIGIBILITY REQUIREMENT: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
Have knowledge of aviation topics: aircraft systems, airline operations, flight mechanics, or aircraft propulsion
Able to become proficient with shell scripting, regular expressions, and manipulation of tabular data (Excel, R, MATLAB, or other data storage objects)
Enjoy navigating uncertain technical topics, learning, and develop guidance material for others' use
Have a strong attention to detail in a mix of creative and procedural work
Able to work without daily supervision and prioritize multiple concurrent tasksCan contribute with participation in small groups organized around engineering and data management projects that vary with time
Strong communication skills will be helpful for career advancement in this role

Analytics Scientist Resume Examples & Samples

Developing and executing models to support business questions
Fully understand the complex scorecard data structure
Investigate data issues
Maintain operational models and algorithms through their lifecycle
Continuously explore ways to enhance models and find opportunities in origination and collection area
Developing metrics and reports to monitor model accuracy and evaluate performance
Preparing analysis to back-test and compare competing models and methodologies
Work with data sources on multiple platforms (PC, Mainframe, Unix/Linux, and Teradata)
Execute both descriptive and inferential analyses in a timely manner
Effectively communicate and present technical material to a broad audience
Work with multiple teams to conduct and support origination/collection analyses
Master’s Degree in Math/ Analytics/Quantitative/Statistics Study
2+ years’ experience in Statistical Analysis
PhD in a Quantitative Field
Experience conducting statistical analysis in a business or academic environment
Experience in logistic regression, maximum likelihood estimation, linear and non-linear modeling, causal inference, survival analysis
Should have the ability to translate complex quantitative analysis into business insights and present to a non-technical audience
Should have the ability to handle multiple projects within a given timeframe
Should have the ability to collaborate and support team work
Experience using SAS, R or Matlab. Some SQL programming experience is preferred
Strong problem formulation and problem solving skills
3+ months experience working with Ford Motor Company

Analytics Scientist Resume Examples & Samples

Employ econometric/statistical modeling techniques to assess and monitor dealer risk
Work with various data sources and platforms (e.g., PC, Hadoop, Teradata) to gather data
Work closely with business customers, IT, and other analytical teams within the GDIA organization
Master’s Degree in Quantitative Field (Math, Statistics, Physics)
2+ years’ experience working in the automotive industry manipulating large scale data, performing analysis, and building statistical models
PhD in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research or Physics
Knowledge of scorecard development, clustering, segmentation, survival analysis, linear and non-linear models, and behavior modeling techniques commonly used in statistics
Experience with Microsoft EXCEL, PowerPoint and Word
Strong programming skills in R, MATLAB, SQL and/or SAS
Linux and Windows experience
3+ years’ experience working with Ford Motor Company

Analytics Scientist Operational Research Focus Resume Examples & Samples

Translate high-level ideas into well-defined mathematical problems
Design and implement heuristic algorithms for obtaining feasible solutions quickly
Develop complete system designs that include data, pre-processing, optimization, post-processing and interfaces for user interaction
Master’s Degree in one of the following: Operations Research, Engineering, Computer Science, Computer Engineering, Statistics, Mathematics or related field of study
2+ years of experience in exact and heuristic optimization algorithm development
2+ years of experience in developing software applications with C++, JAVA, or C#
2+ years of experience in mathematical programming, data mining, and/or statistical analysis
3+ years of experience in solving large-scale industrial optimization problems (e.g., thousands of design variables and constraints)
3+ years of experience in utilizing CPLEX/Gurobi or other mathematical programming solvers
3+ years of experience in benchmarking linear/non-linear/heuristic optimization algorithms to solve various business problems
Knowledge of data management standard, data governance practices, and data quality
Strong Oral and written communication skills

Analytics Scientist Resume Examples & Samples

Utilize statistical software (e.g., SAS, Matlab, R) to develop models, forecasts, and optimization algorithms
Learn new software tools (e.g., Alteryx, Qlikview, ArcGIS, AnyLogic) as necessary
Master’s Degree in a quantitative field of study
1+ years of experience with statistical, econometric, and simulation methods (i.e., logistic regression, time series, seasonal adjustments, systems dynamics)
1+ years of experience with Microsoft Office
2+ years of programming experience (R, MATLAB, SQL and/or SAS required)
Ability to handle multiple projects within a specified timeframe
Ability to translate complex quantitative methods into business insights and present to a non-technical audience
Ph.D. in a quantitative field such as Statistics, Economics, Applied Mathematics, Physics, Operation Research or Engineering
Working experience in the automotive industry manipulating large scale data, performing analysis, and building statistical models
SAS proficiency or programming background desired
Experience with performing spatial analysis and using GIS software (e.g., ArcGIS)

Analytics Scientist Resume Examples & Samples

2+ years of experience with statistical modeling
2+ years of experience conducting statistical analysis in a business or academic environment
Ability to translate complex quantitative analysis into business insights and present to a non-technical audience
Ability to collaborate and support team work

Analytics Scientist Resume Examples & Samples

Apply machine learning techniques such as deep learning and reinforcement learning in specific tasks of computer vision, speech recognition and natural language understanding
Develop strategies and best practices for leveraging Ford’s heterogeneous data sources and large-scale computing resources
Work on large scale datasets, distributed computer clusters and GPU-accelerated deep learning environments
Collaborate with research and strategy team to design research programs that will inform primary project track
Share and present work to cross-functional teams and executive leadership
Master’s degree in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
3+ years of experience in machine learning and standard machine learning techniques
1+ years of experience in Python and deep learning software packages (Tensorflow, Caffe, etc.)
2+ years of experience in distributed data processing and machine learning platforms such as Spark and SparkML
2+ years of experience in at least two of the following languages: Java, Scala, R, Matlab
Ph. D. in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
2+ years of experience with data exploration tools like SQL, ElasticSearch
2+ years of experience with environment configuration and software development on Linux based systems
Scientific thinking and the ability to invent

Analytics Scientist Resume Examples & Samples

Will support credit analysts in the field
Prediction of defaults
Mechanized credit decisioning
Maintaining and expanding the capabilities of production KBS' by requirements generation, prototyping, testing, adhoc requests, and implementation of KBS&#8217
Bachelor’s Degree in Computer Science, Software Engineering, or a related technical field of study
2+ years of programming and debugging experience
Prior IT experience is desirable
An advanced degree in Computer Science or Software Engineering, and exposure to Artificial Intelligence is highly desirable but not necessary
Experience with expert system languages such as Art*Enterprise, LISP, and exposure to Business Rules development are also highly desirable

Analytics Scientist Resume Examples & Samples

Pinpoint elements from sample data sets to leverage into optimization models and analyze and implement research results
Develop and apply automotive industry market demand modeling to support scenario analysis for pricing, volume, technology, and product development in competitive environment
Develop and implement mathematical programming formulations and computational methods to identify optimal solutions and recommendations for implementation
Support development and implementation of feasible solutions and develop complete system designs, which include data, pre-processing, optimization, post-processing, and interfaces for user interaction
Ph.D. or foreign equivalent degree in Engineering or a related technical degree
3 + years’ of experience in scientific computing software, such as SAS, MATLAB, R, Mathematica, etc
3 + years’ of experience in object-oriented programing languages, such as Python and C++
Understand fuel economy and emissions policies, capable of reading results from compliance simulation models in transportation, and applying to energy technologies in economic markets
Experience with parallel/grid computing, programming; preferred skills in Qlikview, Alteryx & Tableau
High motivation, strong curiosity, and an ability to work well in a team environment
3+ years’ of experience in mathematical optimization, statistical modeling (knowledge in regression models and discrete choice models is a plus), Bayesian methods, and probabilistic approaches
3+ years’ of experience performing stochastic modeling, optimization and uncertainty quantification
3 + years’ of experience using advanced optimization and robust design methods
1+ year of experience in market demand modeling for automotive industry market to support scenario analysis for pricing, volume, product and technology development in competitive environment

Analytics Scientist Resume Examples & Samples

Bachelor’s degree in quantitative field
2 + years’ experience conducting statistical analysis in a business or academic environment
2+ years of graduate study in quantitative field
Strong verbal and written communication skills. Ability to collaborate and support team work

Pricing Analytics Scientist Resume Examples & Samples

Work with Pricing Analytics, Risk, Finance, and Sales teams to support optimal pricing strategies, reflecting the risk/return tradeoff
Employ statistical procedures (e.g., binary/multinomial logistic, nested logit) to develop demand models to quantify customer and dealer responsiveness to price and other vehicle incentives
Employ econometric procedures (e.g., ARIMA, ARCH/GARCH) to develop forecasts for loan offers, approvals, purchases as well as portfolio mix (e.g., term, risk tier)
Develop optimization models and frameworks to determine optimal pricing; incorporating corporate objectives and constraints
Maintain models and algorithms on an ongoing basis
Continuously explore ways to enhance models
Develop model tracking methodologies and reports to monitor model performance
Investigate data & implementation issues
Use data-mining techniques to find opportunities in the pricing area
Work with various data sources and platforms (PC, Mainframe, Unix/Linux, Teradata, flat files) to compile data
Utilize statistical software (e.g., SAS, JMP, Matlab, R) to develop models, forecasts, and optimization algorithms

Senior Data Analytics Scientist Resume Examples & Samples

Leverage existing Power teams, and work collaboratively with GE Software, Global Research, and other business entities
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
Evaluate emerging analytics technologies, vendors and provide recommendations to the business
Communicate methods, findings, and hypotheses with stakeholders
Master’s Degree in Engineering/Science plus 5 year analytics development for industrial applications in a commercial/industrial setting
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
Must be willing to travel to GE global locations & customer sites, typically less than 10%
Demonstrated skill in one or more industry sectors of power generation/distribution (gas turbines, coal powered, Nuclear, reciprocating engines, compressor), and/or water & process treatment technologies
Knowledge/exposure to industrial automation, onsite control systems, supervisory control systems
Demonstrated skill in defining and delivering customer value

Data Analytics Scientist Resume Examples & Samples

Finds and interprets data sources, manages large amounts of data, merges data sources together, ensures consistency of data-sets, creates visualizations to aid in understanding data, builds mathematical models using the data, and communicates insights/findings in simplified way to reach people who not understand complex statistics
Specialized Data Science or Research in advanced analytics field
Expected to resolve problems through the application of acquired expertise guided by precedent
Works together with people from the business unit
Contacts are under guidance and/or geared towards specifying activities, planning of activities and giving explanations on technical issues
Communicates with direct team and supervisor
Presents to internal teams on metrics, project status and research
Bachelor's degree from an accredited university or college (or a high school diploma / GED with at least 4 years of experience in Engineering)

Senior Data Analytics Scientist Resume Examples & Samples

Lead analytical model building by data mapping and preprocessing, and document information flows
Identify key data elements to extract/decode/analyze
PhD in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or related technical field
5+ years of business experience in a data analytics role including running queries and compiling data
5+ years of business experience in predictive analytics including machine learning
5+ years of business experience in Big Data technologies including Greenplum, Python, or Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), command line experience with loading and manipulating files within HDFS
Demonstrated experience building visualizations using Tableau/Qlikview/Alteryx
Expertise with manipulating data to form unified data sets for analysis
Experience with SPSS, AMPL, WEKA, Matlab, R, SAS, or similar software
Comfortable working in an environment where problems are not always well-defined, and interested in learning new tools and techniques

Data Analytics Scientist Resume Examples & Samples

Ingest large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, and 3rd party sources in the public domain)
Support analytical model building by data mapping and preprocessing, and document information flows
Develop predictive analytics and machine learning algorithms using business critical datasets
Work collaboratively with various business groups and regions to disseminate critical information and develop strategic opportunities
Master of Science Degree in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or similar field
1+ years of academic or business experience in one or more of the following
PhD in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or similar field
Knowledge of data transfer and ingestion technologies including Talend and HVR
Proficiency in Word, Excel and PowerPoint
Ability to write complex NoSQL queries needed to identify & analyze data
Experience working with global teams

Analytics Scientist Resume Examples & Samples

Communicate with business partners to understand the problems and translate high-level ideas into well-defined mathematical formulations
Pinpoint which elements of sample datasets can be most effectively leveraged in optimization models and what potentially useful information may be missing
Develop and implement mixed integer programming formulations and computationally efficient methods for obtaining optimal or near-optimal solutions
Effectively and frequently communicate with business customers. Ability to explain highly technical contents with non-technical people is a must
PhD in Operations Research or Industrial Engineering
1+ years’ experience in applications of operations research, mathematics, and/or statistics to scheduling or supply chain problems in an industrial/applied environment
1+ years’ experience in exact and heuristic algorithm development
Strong oral, written and interpersonal communication skills
Knowledge and experience of Ford's Order To Delivery processes and systems
Proficiency in developing prototype software applications using Java (preferred), CPLEX, Python, R, C/C++, or similar languages and frameworks
Experience with data and analytic packages such as SAS and Alteryx

Senior Image Analytics Scientist Resume Examples & Samples

Contribute to research projects to develop intelligent solutions for medical imaging
Advance the state-of-the-art technologies to solve large-scale and real-world medical imaging problems
Conduct fast prototyping, feasibility studies for exploratory clinical research
Work with customers to understand clinical requirements and deliver proper solutions
Support the productization of research prototypes
Strong research capability in computer vision, machine learning and medical image analysis (highly preferred but not required), proved by publications in top tier journals/conferences
Research experience in image analytics using large scale, weakly supervised / unsupervised learning algorithms (e.g., deep learning) is preferred
Research experience in medical image analysis of different imaging modalities (CT, MRI, PET, etc.) is preferred
Experience in dealing with big, distributed data, is preferred
Strong programming ability is required. Proficiency in programming using C/C++ (required) and Python (preferred)

Data & Analytics Scientist Resume Examples & Samples

Work with customers to capture data and analytics requirements
Work in technical teams in development, testing/ validation, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Work on data quality assessment, data cleansing and data analytics
Master’s Degree in Engineering/Science plus 2 year analytics development for industrial applications in a commercial/industrial setting
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., JMP, R, Python)
Demonstrated skill with SQL, querying data and exposure to Big Data
Demonstrated skill in prescriptive analytics and analytic prototyping
Ability to work in a dynamic environment, large variety of groups, and with team members at global locations
Demonstrated skill in data management methods
Demonstrated skill in feature extraction and real time or batch analytics development and deployment
Exposure of cloud computing technologies
Exposure to GE Predix platform
Exposure to Industrial Internet applications & outcomes through data & analytics
Demonstrated skill in critical thinking and problem solving methods
Demonstrated skill in presentation and influencing skills
Demonstrated awareness of how to succeed in ambiguous circumstances

Senior Data Analytics Scientist Resume Examples & Samples

Bachelor's /Master’s Degree in Engineering/Science plus 5 year analytics development for industrial applications in a commercial/industrial setting
Demonstrated expertise in modeling and in the development of advanced optimization software in industrial plants / power plants
Demonstrated skill in one or more industry sectors of power generation/distribution (gas turbines, coal powered, Nuclear, reciprocating engines, compressor), Familiarity with fossil plant operations highly desirable

Data Analytics Scientist Resume Examples & Samples

Research -Develop models and algorithms to predict and improve quality of seed, plants or Production Technology processes based on plant, environmental and/or seed (quality) data. Assures continuous improvement processes are in place to increase quality of research and operational processes. Champions Six sigma and Statistics or other related systems to manage processes and improve quality. Pro-actively works cross-functionally/regionally with other scientists
Data/Statics analysis –Prepare solid (historical) data analysis reports to measure performance of processes to identify improvement opportunities and research subjects. Support Production Technology in solid reporting of (project) performance
Technology Transfer - serves as a trainer to train people in basic statistics, six sigma and basic modelling to execute protocols developments from research to practical application. Work with Production Technology and QC teams around the globe on knowledge transfer
Presenting and Promotion - Prepares presentations and promote the value and benefits of the work at key stakeholder meetings
Compliance - adheres to Company ES&H, FCPA, Business Conduct and human rights policies. Meets expectations related to ISO certification, Six Sigma and LEAN activities
Influencing – cross-bridge between (Global) Production Research Scientist, Field Quality Scientists and QC Scientists. Motivate and train staff on new developments
Master of PhD degree, preferably in Mathematical Modelling or Statistics with applications in Biology, Epidemiology, Plant pathology or similar disciplines
5+ years of experience in research environment, preferably in Fruit & Vegetables industry
Proven computational biology or data science experience in the life sciences field
Solid understanding of latest statistical data analysis techniques
Strong algorithmic and programming skills in scripting languages
Extensive experience processing, analyzing and visualizing large multivariate datasets

Protein Analytics Scientist Resume Examples & Samples

Minimum BSc degree with proven track record of using basic biophysical analysis in the lab (including monitoring protein stability by DSC, SPR, ASEC, IEX, SDS PAGE densitometry)
Good grasp of analytical technology developments from literature including miniaturising technologies
Excellent written and verbal communication
Critical interrogation of 3rd party data and ability to convey and critique analysis to external collaborators
In-depth characterisation of outputs from B-cell screening using biophysical analysis techniques
Scientific impact through lab based role

Data Analytics Scientist Resume Examples & Samples

Master of Science Degree in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems or Physics
2+ years of academic or business experience in one or more of the following
PhD in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems or Physics

Senior Mixed Data Analytics Scientist Resume Examples & Samples

Research, prototype, and implement advanced analytics algorithms (descriptive, predictive, and prescriptive) for mixed-modality digital health data, including textual, categorical, numerical, and imaging data
Advance the state-of-the-art to enable healthcare providers such as Radiologists to overcome the difficulties they face today, and the challenges they will face tomorrow
Close collaboration with Siemens customers, to understand real-world problems and requirements, to collect data, and to brainstorm on new solutions
Close collaboration with other scientists in Siemens, to scale up our innovation power across business areas, and to coordinate / lead the discovery of new digital healthcare research areas and product/service offerings
Close collaboration with software development engineers and architect to ensure a smooth transition from lab to market
Passion and drive for data analytics research and result-oriented innovation in the healthcare domain
Ability to model and solve complex healthcare related problems using latest machine learning algorithms
A strong motivation to search for the optimal and principled solution; yet comfortable and capable in producing solutions that “just works”
A passion to work on real data to solve real world problems facing healthcare providers worldwide (although we often need to use synthetic / research datasets to investigate and design the algorithm, but we will not stop there)
Strong programming and systems skills (using C++ or Java) is a must
Ability to communicate effectively to a broader audience (researchers, clinicians, business leaders) is strongly preferred
Capable and comfortable to take on complex problems either as an individual contributors, or as part of a team
PhD in computer science, electrical engineering, biomedical engineering, applied mathematics, or statistics; or proven equivalent experiences and capabilities
Outstanding research track record in the field of supervised and unsupervised learning from image plus non-image data
Experience in mixed data analytics, such as images, text annotations, numerical, and categorical data, is required, even though this does not have to be in the healthcare domain. Familiarity and experience with algorithms such as CNN or LSTM are strongly preferred
Knowledge and experience in medical image analysis is a strong plus, but not required

Analytics Scientist Resume Examples & Samples

Pinpoint which elements of sample datasets can be most effectively leveraged in mathematical models and what potentially useful information may be missing
Develop and implement mathematical formulations and computationally efficient methods for obtaining optimal or near-optimal solutions
Develop complete system designs that include collecting data, pre-processing, optimization, post-processing and interfaces for user interaction
Masters in Operations Research or Industrial Engineering
4+ years of experience in applications of operations research, mathematics, and/or statistics to scheduling or supply chain problems in an industrial/applied environment
4+ years of experience in Data Mining and Analytics, Modeling/Optimization, business intelligence, and statistical analysis
2+ years of project management experience
Knowledge and experience of Ford's Supply Chain Management processes and systems
Proficiency in developing prototype software applications using Alteryx, CPLEX, R, or similar languages and frameworks
Familiar with statistics package MINITAB; simulation package Any Logic; descriptive analytics tool QlikView and Tableau, or similar software applications
Familiar with Hadoop and SQL database management systems

Analytics Scientist Resume Examples & Samples

Communicate with Statisticians and OR Specialists to understand the business problems and their data needs then translate into specification and communicate with Data Operations and IT to ensure necessary data will be acquired in time with high quality
Design data models and ETL (Extract, Transform, and Load) process for Big Data systems
Support the Manufacturing Analytics team’s Big Data infrastructure needs
Develop and implement Machine Learning models for manufacturing processes improvement
Develop and implement analytics dashboards to visualize the insights of multi-dimensional data
1+ years of experience in applications of data model and ETL process design of big data and relational database systems in an industrial/applied environment using software tools such as ERwin, Alteryx, and Database Workbench
1+ years of experience in data mining and analytics, modeling/optimization, machine learning, business intelligence, and statistical analysis
1+ years of experience in descriptive analytics using data visualization tools such as QlikView and Tableau
Knowledge and experience of Ford's Big Data processes and systems (e.g. HDFS and Hortonworks)
Proficiency in using Big Data tools such as Hbase, HIVE, Hue, Sqoop, Pig, Beeswax, Oozie, Ranger and Storm
Proficiency in developing prototype software applications using Alteryx, R, or similar languages and frameworks
Familiar with parallel and distributed processing tools such as MapReduce, Flume, Spark, and Impala

Analytics Scientist Resume Examples & Samples

Fully understand the complex dealer data structure
Work with various data sources and platforms (e.g., PC, Hadoop, Teradata) to compile data
Master’s Degree in Statistics, Economics, Applied Mathematics, Operations Research or Physics
2+ years’ experience with Microsoft EXCEL, PowerPoint and Word
1+ years’ Linux and Windows experience
Robust knowledge of statistical, econometric, and simulation methods (i.e., logistic regression, time series, seasonal adjustments, systems dynamics)
Strong programming skills in R, MATLAB, SQL and/or SAS required

Process Analytics Scientist Resume Examples & Samples

Preparing buffers, packing columns, setting up, sterilization, sampling, and cleaning of systems
Document laboratory activities electronically and enter process data into database
Document process steps electronically and enter process data into database
Be responsible for following safe laboratory practices and for maintaining the work area in a clean orderly and safe manner
Experience in the analysis of therapeutic proteins using various UPLC and HPLC Techniques including IEX, SEC, HIC and RP
Strong attention to detail, hands-on capability, ability to learn quickly and be a self-starter
Ability to work independently as well as be a strong team player to meet program needs
Self-motivation, adaptability and a positive attitude
The candidate must have effective documentation skills with the ability to author internal technical reports
Experience with Microsoft Word and Excel is required, and experience with Empower is highly preferred
At least 2 years of laboratory experience
Hands on experience with analysis of therapeutic proteins (monoclonal antibody experience highly preferred) using various UPLC and HPLC techniques (IEX/SEC/HIC/RP)

Process Analytics Scientist Resume Examples & Samples

Experience transferring and executing analytical assays in a biologics industry laboratory
Demonstrated experience in the analysis of therapeutic proteins with at least one of the following : HPLC-Based Methods; Gel-Based Methods; CE-Based Methods; Cell-Based Assays; Compendial Assays
Computer competency is essential with emphasis on spreadsheet-based software
The ability to adhere to strict guidelines when applicable, is required
The candidate must have effective documentation skills with the ability to author internal technical reports and perform document review as needed
Experience transferring and executing at least one of the following analytical assays: HPLC-Based Methods; Gel-Based Methods; CE-Based Methods; Cell-Based Assays; Compendial Assays
Method development or validation experience
·Excellent communication (oral and written) and attention to detail
·Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude
·Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies
Minimum 1 year analytical industry experience
Hands on experience with analysis of therapeutic proteins

Data Analytics Scientist Resume Examples & Samples

Ingest large data sets from a variety of sources (Hadoop, SQL, Teradata, Oracle, and 3rd party sources in the public domain)
Lead the development of predictive analytics and machine learning algorithms using business critical datasets
Use data analytics to gain insight into customer usage patterns and environmental conditions to quantifying expected customer benefits, such as fuel economy improvements, cost reductions, durability improvements, and additional non-vehicle benefits
Master’s Degree in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Business, or related technical field
2+ years of academic or business experience in the following
PhD in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, or related technical field

Soybean Data Analytics Scientist Resume Examples & Samples

Serve as a resource for quantitative genetics, experimental design and data analysis methodologies for target Soybean Seeds Product Development scientists
Maintain expertise in the proper application and use of computational tools for the management of germplasm materials, data management and analysis, and reporting, for activities of Soybean Seeds Product Development
Maintain tight working relationship with core breeding project teams and supporting functions in order to perform the following
Theoretical and practical knowledge of operations research and mathematical optimization concepts is a must. Knowledge of quantitative genetics is highly desirable
Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts
Proven team player
A good understanding of algorithms and computational complexity is desirable
Creativity in defining challenging exploratory projects and developing solutions
BS or MS with equivalent experience in Operations Research, Industrial Engineering, or Mathematics or a related field
Advanced degree in statistics, data science, or computational biology
People skills that will build bridges
Drive for translating business problems into research initiatives that deliver business value
Expertise in many of the following: Monte Carlo simulations, decisions analysis, stochastic models, system dynamics and forecasting
Experience and passion for solving analytical problems involving big data sets using quantitative approaches to generate insights from data
Successful experiencing in working in teams
Expertise in at least one or more of the following: network optimization, stochastic programming, portfolio optimization, efficient optimizer design for high dimensional convex/non-convex problems, optimal scheduling and routing, multi objective optimization

Data Analytics Scientist Resume Examples & Samples

Master’s Degree in Science field such as industrial, mechanical or automotive engineering, computer science, applied physics, mathematics, statistics, management information systems, or related technical field
1+ years of expertise in the application of engineering and science to energy and/or transportation policy questions
1+years of experience in mathematical programming, data mining, and/or statistical analysis
1+ years of experience in optimization (problems, methods, and software) or statistics (basic concepts, regression models, discrete choice models) or energy/engineering economics
1+ years of experience coding C/C++ or C#, Tableau, Alteryx, Qlikview
Well-organized, independent and ready to work with minimal supervision
Comfortable working in an environment where problems are not always well-defined
Inquisitive, attentive to details, proactive, and interested in learning new tools and techniques
1+ years of experience in fuel economy and greenhouse gas emissions policy