MFS Investments-posted 3 months ago
Full-time • Mid Level
Hybrid • Boston, MA
1,001-5,000 employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

The Data Science Lead Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for complex business challenges. With a foundation in data analysis and model development, you will work alongside a team of data scientists and business strategists, contributing to the development of data-driven solutions for business challenges. Your work will be user case oriented: you will take on responsibility for the end-to-end process of extracting insights from large datasets. You are expected to work collaboratively with cross-functional teams, as well as independently manage projects, to drive strategic decision-making and innovation. You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units.

  • Design and implement advanced statistical models and machine learning algorithms to solve specific business problems.
  • Interpret and analyze data from multiple sources to provide actionable insights and recommendations.
  • Collaborate with business strategists to understand their needs and provide data-driven guidance.
  • Take initiative in identifying opportunities for data analytics to add value to the business.
  • Ensure data quality and integrity throughout all processes.
  • Effectively communicate findings to stakeholders through visualization and presentations, translating complex data into clear business terms.
  • Mentor Associate Data Scientists and contribute to their professional development.
  • Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh ideas to the team and to the organization.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Physics, or another quantitative discipline with 5-6 yrs experience, or Master's degree with 4 years of experience.
  • Demonstrated proficiency in Python, SQL, and data visualization tools (such as Tableau, Power BI, or similar).
  • Strong experience in cleaning, transforming, and visualizing large data sets.
  • Proven ability to develop, test, and deploy predictive models and machine learning algorithms.
  • Advanced understanding of a wide array of machine learning and statistical techniques, with a track record of choosing the right model for the right problem.
  • Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable.
  • Strong analytical and quantitative problem-solving ability.
  • Experience in effectively communicating complex analytical findings and conclusions to non-technical stakeholders, including the creation of clear and actionable reports.
  • Demonstrated ability to work independently on complex projects with minimal supervision as well as collaboratively with a team.
  • A history of driving projects to completion and contributing to the success of those projects.
  • Ability to mentor and support Associate Data Scientists in their technical development.
  • Commitment to continuous learning and staying current with industry trends and best practices in data science.
  • Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable.
  • Generous time-off provided: including 'Responsible time off' for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time.
  • Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave.
  • Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions.
  • Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more.
  • Life & Disability Benefits: Company-paid basic life insurance and short-term disability.
  • Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs.
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