Sr. Data Scientist Job Description Template
Our company is looking for a Sr. Data Scientist to join our team.
Responsibilities:
- Use advanced machine learning techniques to predict or alert in case of failures, and recommend actions that can mitigate or resolve them;
- Communicate findings clearly and succinctly to technical and non-technical audience;
- Analyze large datasets in a production ready environment, using Nimble’s InfoSight platform;
- Performs other related duties as assigned;
- Ability to develop mathematical models and optimization algorithms;
- Automate scoring using machine learning techniques;
- Build predictive models and machine-learning algorithms;
- Maintaining and enhancing internal tools for data analysis;
- Work independently and collaboratively as needed, parallel play and be able to take ownership of projects;
- Plan, manage and execute on data science projects independently, albeit drawing upon the input and expertise from multiple stakeholders;
- Work collaboratively as part of a self-organizing scrum team with minimal supervision;
- Ensures completion of all critical deliverablesfrom multiple disciplines to assure timely and accurate implementation of ourcustomers’ benefit plans;
- Assist team members and stake holders to deliver value added solutions through advanced analytics and modeling techniques;
- Guide the development of data products used across the organization;
- Deploy high-quality products and projects with clean code, thorough testing, and documentation.
Requirements:
- Excellent analytical, communication (both verbal and written), interpersonal, and organizational skills;
- ETL experience;
- Python;
- Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field;
- Advanced degree (M.S. or Ph.D.) in Engineering, Math, Finance, Computer Science, Physics;
- Client-handling;
- Develop processes and tools to monitor and analyze model performance and data accuracy;
- Experience with applying mathematical optimization to graph optimization problems;
- Must be US Citizen or US Permanent Resident (Green card holder);
- Ph.D. in Mathematics, Physics, Computer Science, or another technical field;
- 5+ year experience with statistics and probability, particularly their application in systems analysis and operations research;
- Experience with offshore teams;
- Ability to convert data science to business services or products, and drive business decisions;
- Coordinate with different functional teams to implement models and monitor outcomes;
- Expertise in Data Analytics.