Senior Data Scientist
Humana
full-time
Posted on:
Location Type: Remote
Location: Remote • Kentucky • 🇺🇸 United States
Visit company websiteSalary
💰 $117,600 - $161,700 per year
Job Level
Senior
Tech Stack
AWSAzureCloudETLGoogle Cloud PlatformPySparkPythonPyTorchScikit-LearnTensorflow
About the role
- The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
- The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
- The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting.
- Creates reports, projections, models, and presentations to support business strategy and tactics.
- Begins to influence department’s strategy.
- Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction.
- Exercises considerable latitude in determining objectives and approaches to assignments.
Requirements
- Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience
- Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
- Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors
- Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
- Experience in creating reports, projections, models, and presentations to support business strategy and tactics
- Ability to make decisions on moderately complex to complex issues regarding technical approach for project components
- Proficiency in Python, Pyspark or similar programming languages
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience with building end-to-end modeling pipeline using PySpark
- Strong understanding of data pipelines, ETL processes, and cloud platforms (e.g., Azure, GCP, AWS)
Benefits
- medical, dental and vision benefits
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance and many other opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
mathematicsstatisticsmodelingbusiness analysisdata analysisPythonPysparkmachine learningETL processesdata pipelines
Soft skills
decision makingstrategic influenceproblem solvingevaluationpresentation skills