MFS is looking to improve decision-making within their Distribution department by developing models and providing analytics. This involves integrating business needs with data analytics technology solutions and identifying opportunities for process improvements.
Requirements
- Experience in applying Advanced Analytics and/or Data Science Modeling Techniques.
- Strong expertise utilizing Python for machine learning and statistical analysis with object-oriented code structure
- Basic knowledge of the following – Supervised and Unsupervised Learning including Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models as well as NLP (Natural Language Processing)
- Comfort manipulating and analyzing data in various formats. Experience with complex, high-volume, high-dimensionality data from varying sources is a plus.
- Understanding Generative AI capabilities as well as prompt formatting
- Understanding of relational, XML and NoSQL database models with and associated data access methods (SQL)
Responsibilities
- Defining the problem and identifying business requirements.
- Identifying, collecting, loading, and preparing the data.
- Building analytical models using descriptive, predictive and other advanced analytical techniques on transformed data sets.
- Analyzing and interpreting the results of the analytical models
- Designing and implementing data analytics pipeline into production environment
- Communicating results clearly and concisely using visual formats.
- Leveraging Data from internal systems including CRM, Sales, and MFS.com, Third-Party Market Data, and Other identified data sets as required
Other
- Pursuing a Bachelor's or Master's degree in a related area. Data Science, Statistics, Computer Science, Mathematics, Economics, Analytics, or Applied Mathematics are preferred.
- Strong communication skills
- Proven analytical skills and demonstrated ability to take initiative and help with developing creative solutions to meet business needs
- Experience working on a team, preferably on projects
- MFS co-op positions are a 6-month commitment, working Monday – Friday (January 6th through June 26th, 2026), and work between 35-40 hours.
