Data Scientist, Analytics Job Description
Data scientist, analytics
provides leadership in developing solutions that source, transform, enrich, validate and load investment management data while leveraging the analytics workbench capabilities in place (Alteryx, R, Python, SQL).
Data Scientist, Analytics Duties & Responsibilities
To write an effective data scientist, analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist, analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Produce accurate and efficient SAS/SQL programs to extract and manipulate data as required per detailed specifications provided by project leads
Develop standardized SAS/SQL programs and clearly document in order to debug and reuse
Support the development of a proactive approach to cyber threat and misuse identification
Develop and maintain knowledgebase on emerging Big data Analytic capabilities
Develop innovative experimental design and measurement methodologies
Manage large amounts of data within the domain of hardware, software and bandwidth constraints
Translate the understanding into well engineered and easy to maintain data concepts
Build scalable, stable, and efficient processes to collect, manipulate, present, and analyze large datasets for production
Be involved with problem definition, data exploration, data acquisition and visualization, feature algorithms, evaluating and comparing metrics, deploying various models and iteratively improving solutions
Handle prioritization of various initiatives, and communicate with key stakeholders regarding progress
Data Scientist, Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist, Analytics
List any licenses or certifications required by the position: INFORMS, FRM, CPA, CFA, AWS, AI, APICS, SAS
Education for Data Scientist, Analytics
Typically a job would require a certain level of education.
Employers hiring for the data scientist, analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Engineering, Machine Learning, Information Science, Management, Computing, Writing, Human Relations
Skills for Data Scientist, Analytics
Desired skills for data scientist, analytics include:
Python
Relational databases
SPSS
At least one open-source scientific
Database concepts and SQL
Matlab
R
SQL
STATA
C
Desired experience for data scientist, analytics includes:
Experience with statistical analysis package
Bachelor’s Degree with an emphasis on data analysis (e.g., Statistics, Computer Science, Mathematics, Physics)
3+ years of experience in corporate strategy
Hands-on expertise needed in agile data analytics experiments and creation/deployment of models and algorithm to analyze social, machine, text, sensor, streaming, large-volume structured unstructured data
Experience in operations research, statistical modeling, simulation or deep data mining in specific domains required
Develop models (predictive and classification) for a variety of problems
Data Scientist, Analytics Examples
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Data Scientist, Analytics Job Description
Job Description Example
Our company is looking to fill the role of data scientist, analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data scientist, analytics
- As part of the core data science group, candidate will lead project teams in developing innovative, reusable, and scalable solutions
- Candidate will actively engage with analytics partners, stakeholders, and customers within and outside of Information Technology
- Data/Statics analysis –Prepare solid (historical) data analysis reports to measure performance of processes to identify improvement opportunities and research subjects
- Compliance - adheres to Company ES&H, FCPA, Business Conduct and human rights policies
- Influencing – cross-bridge between (Global) Production Research Scientist, Field Quality Scientists and QC Scientists
- Assist and build databases that identify opportunities to evaluate and optimize HR programs
- Complete all analytic tasks according to research standard operating procedures in the department
- Develop and maintain documentation related to evaluation analytics and research
- Coach and support less experienced analysts
- Provide technical leadership in research, design, develop and evaluate first-of-kind data analytics solutions to provide real time diagnostics and therapeutic decision support applications
Qualifications for data scientist, analytics
- Presentation, leadership and client facing skills are a must
- Knowledge of evaluating success of predictive models, both for classification
- A strong academic record with at least one degree in a technical discipline
- Designing metrics of marketplace health and systems for monitoring those metrics in real time
- Designing and executing experiments to evaluate proposed changes in the system or tune system parameters
- Minimum 2 years of prior data science or engineering experience in applied statistics or data analytics
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Data Scientist, Analytics Job Description
Job Description Example
Our company is looking to fill the role of data scientist, analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data scientist, analytics
- Designing data driven tools and models to bring logic and structure to sometimes loosely defined, unstructured problems and ideas
- Improving the accuracy and efficiency of existing algorithms, models, and forecasts
- Supporting the business through ad-hoc queries and analysis
- Assisting in executing existing analytical and reporting responsibilities
- Taking complex results and communicating them in an easily understood way, focusing on how data analytics fits into the bigger picture
- Persuading, informing, and influencing others based on findings through both verbal and written communication
- Create and continually improve consumer segmentation models for addressable marketing and product personalization
- Empower consumer-focused product and business development with analysis-based insights and recommendations related to customer segmentation, behaviour and credit performance
- Partner with other Analytics functions and Business Intelligence to develop standards, share best practices, drive efficiency and set data requirements
- Assists in the identification, generation, and selection of features from various structured and unstructured data sets
Qualifications for data scientist, analytics
- Proven experience in design and execution of data analysis projects
- Experience in visualisation tools (R Shiny or Qlik View would be advantageous)
- Experience with design focussed development
- Detailed knowledge on a range of analytical techniques
- Excellent verbal and written communication skills interpersonal and influencing skills
- Master’s degree with a strong background in data science
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Data Scientist, Analytics Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data scientist, analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist, analytics
- Gather and transform data insights in order to make business recommendations (cost-benefit, forecasting, impact analysis)
- Partner closely with cross-functional teams to understand and deliver reporting and analytics needs
- Create specifications for reports based on business needs
- Audit HR system processes and data to ensure accuracy and compliance
- Provide training and documentation to HR end users
- Consult with project and program owners to determine key program success measures
- Deliver HR reports to cross-functional departments and management for analysis
- Identify organizational trends, leading indicators, and creative talent metrics
- Execute analyses and modeling that results in actionable recommendations
- Automate these analyses and develop interactive, employee-facing tools that inform, support, and enable people and business decisions across Genentech
Qualifications for data scientist, analytics
- Ingest, clean, aggregate, and integrate data
- Degree Computer Engineering/Science, Statistics, Machine Learning, Applied Math
- Proficiency with C++, Java and python
- 5+ years experience big data concepts and hands-on experience
- Proficiency with C++, Java, python
- A minimum of 3 years a professional experience in data analysis and modeling
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Data Scientist, Analytics Job Description
Job Description Example
Our growing company is looking for a data scientist, analytics. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data scientist, analytics
- Assists with the architecture, development, and automation of data solutions, iteratively building and prototyping reports and dashboards to begin to enable insights at scale
- Builds queries to business specifications and conforming to established best practice definitions
- Manipulates and analyzes large data sets, connect disparate ideas into cohesive, well-grounded recommendations using creative, structured and analytical thinking
- Participates in and curates content for quarterly people reporting products review
- Helps to ensure that all report distribution conforms to security and privacy models
- Supports and participates in people data governance processes
- Reviews people data periodically with business users to ensure accuracy
- Creates effective, scalable reporting solutions
- Prioritizes work to manage multiple workstreams, high pressure situations, and new information
- Work with manufacturing engineers to drive adoption of our data services
Qualifications for data scientist, analytics
- Knowledge of advanced spatial analytic techniques such as spatial statistics, spatial econometrics, location optimization is strongly preferred
- Ability to work with relational databases such as SQL, Access, PostgreSQL, is required
- Comfort in communicating technical content in an easy to understand way
- Masters degree or a PhD preferred from a respected institution from a related quantitative field (typically Economics, GIS, Computer Science, Finance
- Business, Statistics, Physics, Mathematics, Engineering, ) with an outstanding collegiate academic record
- A deep understanding of statistics
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Data Scientist, Analytics Job Description
Job Description Example
Our company is growing rapidly and is looking for a data scientist, analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data scientist, analytics
- Supporting the business through ad-hoc queries, data manipulation, and analysis
- You advise stakeholders on how to best solve business questions, and manage expectations with respect to data quality and availability, in collaboration with the Principal Data Scientist and the Director HR Analytics
- You are eager to be challenged on the quality of your work and love to learn from others, you are also eager to share your knowledge and help others improve their solutions
- Management, curation, and analysis of multiple-source clinical data
- Supporting day-to-day and tactical analytics needs of the operational teams such as defining the SKU selection for Fresno based on Market Basket Analysis predictive modeling and building advanced customer segmentation by using clustering techniques and natural language processing of customer call logs
- Driving strategic efforts across the supply chain organization, leveraging advanced analytics to optimize processes and procedures that lead to improved revenue, device life cycle management through higher inventory turns, working capital optimization and operations cost reduction
- He/she is an individual contributor
- Define key metrics to measure success of risk-prevention efforts
- Conceptualize, create, and maintain dashboards to reveal operational efficiency and decisioning quality
- Investigate root causes of certain decisioning errors or inefficiencies, create mitigation proposals and work with Product, Eng, and Ops to execute the changes
Qualifications for data scientist, analytics
- Programing in SAS or Matlab would be an asset
- Ability to communicate complex ideas effectively – both verbally and in writing – in English (required) & Polish (strong asset)
- Working knowledge of visualizations tools, Tableau, MS Power BI, Shiny R package, or Big Data ecosystem, Hadoop, Spark, would be an advantage
- Previous experience in telecommuniction, banking, retail or manufacturing industry would be an asset
- Undergraduate degree in Maths, Statistics, Physics, Engineering required
- 0 - 4 years of professional experience in programming