Data Science Lead Analyst (Distribution Data Science Team)

About the position At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. THE ROLE 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.

Responsibilities

• 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.

Requirements

• 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.
• 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.

Nice-to-haves

• Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable.

Benefits

• MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k)
• Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
• Education Assistance: Tuition reimbursement up to $8,000 annually
• Education Assistance: Access to discounted tutors and college coaches
• Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
• Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
• Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
• Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps

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