Data Scientist
The Opportunity
MassMutual’s Advanced Analytics group is seeking an exceptional, highly motivated, and self-directed data scientist. In this role, you will perform data-driven research, problem-solving, and algorithm development through the systematic application of mathematics, statistics, and computer science as well as cutting-edge data technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs.
The Team
This is an opportunity to join a high-performing team with diverse backgrounds in applied math, computer science, and physics that have been tasked with developing, maintaining, and extracting knowledge from a strategic data asset. Our work revolves around studying fundamental and high-impact business questions that directly impact the direction of the company and industry at large.
The Impact:
- Independently execute project-related tasks
- Provide ongoing project service, maintenance, and process execution
- Develop algorithms and predictive models
- Create prototype systems, i.e. data pipelines, visualizations, and web applications
- Assist in the design and analysis of experiments
- Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks, and systems
- Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports, and presentations
The Minimum Qualifications
- Bachelor's Degree
- 3+ years working with data and relevant computational frameworks and systems
- 3+ years developing probabilistic models and machine learning algorithms
- Proficient understanding of machine learning and probability and statistics (esp. Bayesian methods)
- Proficient in data analysis using R or Python (numpy, scipy, matplotlib, scikit-learn, pandas, etc.) programming languages
- Experience in SQL and database design
- Experience using web services (S3, Spark, etc) and containers (Docker, Kubernetes) preferred
- Knowledge of web application tools (R Shiny, HTML/CSS/Javascript, and web application frameworks) preferred
- M.S. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is strongly preferred.
The Ideal Qualifications
- Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies
- Ability to work in a highly collaborative environment
- Outstanding written and verbal communication skills