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Senior Data Scientist
Location
United States
Posted
27 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
Nelnet
• Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers. • Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems. • Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, Azure, SnowFlake, SalesForce, internal systems, and flat files. • Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources. • Build rich, interactive dashboards and visualizations from the ground up using PowerBI. • Compile and present key findings and reports to all levels of the organization, including senior leadership. • Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance. • Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices. • Problem-solve, generate new ideas, and provide creative solutions. • Mentor, model, act as a resource, and provide guidance for more junior analysts and team members. • Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.
Job Requirements
- PHD degree required in a Quantitative (heavy in mathematics, statistics or analysis, such as Applied Mathematics, Optimization, Psychology, or Economics) or Programming discipline.
- 2+ years of experience in data analysis.
- 1+ years of programming experience.
- Significant experience working with large, complex data sets and common data science tools.
- Experience working with database Python.
- Experience designing, building, deploying, and validating machine-learning predictive models, ideally within a business framework.
- Experience training multi model design to structure and train for unstructured data matching.
- Experience training LLM models for specialized use cases.
Benefits
- medical
- dental
- vision
- HSA and FSA
- generous earned time off
- 401K/student loan repayment
- life insurance & AD&D insurance
- employee assistance program
- employee stock purchase program
- tuition reimbursement
- performance-based incentive pay
- short- and long-term disability
- robust wellness program
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