Data Scientist / Data Analytics Job Description
Data Scientist / Data Analytics Duties & Responsibilities
To write an effective data scientist / data analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist / data analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Scientist / Data Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist / Data Analytics
List any licenses or certifications required by the position: INFORMS, FRM, CPA, CFA, AWS, AI, APICS, SAS
Education for Data Scientist / Data Analytics
Typically a job would require a certain level of education.
Employers hiring for the data scientist / data 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, Management, Computing, Information Science, Writing, Human Relations
Skills for Data Scientist / Data Analytics
Desired skills for data scientist / data analytics include:
Desired experience for data scientist / data analytics includes:
Data Scientist / Data Analytics Examples
Data Scientist / Data Analytics Job Description
- Help build and lead collaborative relationships with external partners, scientific community, and governmental resources
- Mine data (both structured and unstructured) to detect patterns, opportunities and insights that drive our personalization strategy
- Partner with leadership to develop new business analytics, providing visibility to operations and their linkage to customer outcomes
- Analyze, interpret and translate metric performance across functions and different lines of business
- The job entails sitting working at a computer for extended periods of time
- Collaborate with business subject matter experts and IT teams to make strategic recommendations on data collection, integration and retention
- Identify data needs and relevance to hypothesis testing
- Wrangle both structured and unstructured data from both proprietary and third-party sources and use advanced data management tools and big data technologies
- Develop usage and access control policies/systems and partner with other stakeholders in continuous improvement processes impacting data quality
- Create and advance a data science capability to support a world class sales & marketing organization
- Software development skills in of C, C++, Java, Python, or similar
- Strong product mindset - you ask and tackle the most important analytical questions with a view on driving product impact
- Bachelor's degree in a quantitative discipline such as Statistics, Math, or Computer Science
- Minimum 4 years of SQL and data modeling experience
- Requires strong experience with SSPS
- Experience with Omniture, Adobe Analytics and Report Builder
Data Scientist / Data Analytics Job Description
- Maintain a working knowledge of modeling, data mining and visualization best practices
- Assist team with reporting and analysis including work resolving adhoc tickets in queue
- Interface and support discussions with external private and public entities to support business goals
- Assists in the development and execution of a long term data strategy that would be necessary for the efficient execution of initiatives by the ADA
- Designs data requirements to bring together data from multiple systems for analysis and model development purposes
- Works in high performance computing environments to train and test computationally intensive models/algorithms
- Assists in the creation and implementation of predictive models and risk analytics tools
- Monitors and evaluates the impact and effectiveness of predictive models or analytics tools in production
- Provide analytic solutions for field teams to improve planning and scheduling processes
- Design and develop data analytics models to predict task outcomes or future impact of key organizational decisions
- Expertise with statistical modeling with R, Matlab, Octave, Python or similar preferred
- Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata
- Experience working with data analytics software & techniques, including knowledge of SQL, R, Python, Scala, Hive would be advantageous
- Expertise in analytics software tools and packages Matlab, R, Python
- Experience with SQL and one RDBMS product (Oracle, Teradata )
- Master’s degree in nursing informatics, or other applicable healthcare field required
Data Scientist / Data Analytics Job Description
- Contribute to codebase and infrastructure for quantitative people analytics in general
- See beyond the numbers to recommend, inform, influence, support, and execute people and business decisions across Genentech
- Maximize the likelihood that innovation will continue to thrive at Genentech
- Analysis of big data for data-driven solution validation, evaluation and technology innovation
- Optimising data analysis processes and systems for better efficiency and maintainability
- Writing documentation that clearly explains how algorithms should be implemented, verified and validated
- Monitoring literature of interest and industrial development trends, broadly in the area of big data
- Maintains current market knowledge and awareness of key industry trends in pricing/product segmentation and predictive modeling
- Researches, develops and helps implement innovative pricing models based upon sophisticated predictive modeling/multivariate analysis
- Develops predictive models to support underwriting processes, such as when to order third party data reports or property inspections
- Requires 5 years of experience in working with clinical data for statistical analysis
- Experience with common data science toolkits and modeling tools (such as R, Python, Knime, MatLab
- You have a strong analytical background (Mathematics / Machine Learning)
- You have good computer science skills and you are proficient at processing data
- In addition, the ideal candidate must be proactive and able to manage in a fast-paced dynamic environment
- Ph.D degree in Computer Science is highly desired
Data Scientist / Data Analytics Job Description
- Play an integral role in your product team, and ensure their work is rigorously data-driven
- You collaborate with team members and business owners to gather, process and analyze data
- Provide guidance for the junior members of the team
- Collaborate efficiently in a cross-functional team with medical, clinical, engineering and marketing expertise
- Consolidate, monitor and communicate to leadership statistical indicators to support data compliance and auditability
- Work effectively in matrixed teams independently to accomplish project goals
- Analyse a rich body of data and draw actionable insights to guide the development of our products and optimise our marketing investment
- Design and analyse rigorous experiments, and produce well-structured, lucid reports to communicate your findings effectively and allow the business to act with confidence
- Make an immediate impact through your work, informing rapid decision-making at all levels of the organisation
- Challenge assumptions and proactively identify opportunities to add value to the business
- Familiarity of analytical packages such as R, Python, SAS, Matlab, , and approaches (regression, decision trees, clustering, neural networks)
- Deep knowledge of Excel, SQL and another programming language such as R or Python
- The ability to go from concept to analysis to conclusion, to bring actionable insight to bear, and to convince others using a combination of data and compelling argument
- Extended experience running A/B and multivariate tests and the statistics behind how to run these type of tests
- The sort of personality who thrives in a fast-moving and quickly changing environment
- BS degree (or higher) in Engineering, Computer Science, Physics or any other highly quantitative field
Data Scientist / Data Analytics Job Description
- Consolidate large amounts of data from multiple source systems and design tools to aid in the analysis and consumption of this data, continually work to optimize internal reporting tools
- Work with scientists, statisticians, engineers, marketing, and regulatory personnel to advance Sequencing and ddPCR technologies
- Analyze Sequencing and PCR data, develop analytical methods, and build analysis pipeline
- Develop data management solutions for internal and external teams
- Communicate effectively with various teams and provide documentations/presentations as needed
- Support scientists for publications and R&D engineers for product releases
- Design, execute, and read results from A/B testings
- Optimize operational strategies of Trust and Safety
- Identify patterns and trends of incoming user behaviors with risk implications
- Communicate with various teams and leadership and drive influential decisionings
- Knowledge of other languages including Portuguese, German, French and Italian will be valued
- Strong academic qualifications with a Bachelor’s degree and/or Advanced degree (MS / PhD) typically in a quantitative discipline or related field
- Hands-on work experience with deep technical know-how in machine learning, statistical or heavy numerical analyses, predictive modeling
- Proficiency in analytic / database software and languages such as R, Python, SAS, SQL, SPSS
- Proven comfort and an intellectual curiosity for working with very large sets of data
- Demonstrate strong multi-tasking abilities, flexibility, and patience in a fluid environment