Job description

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. WHAT YOU WILL DO 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. WHAT WE ARE LOOKING FOR 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. #LI-JN1 #LI-HYBRID At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others. What we offer: 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 MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference. For almost a century, investors around the world have trusted MFS to achieve their investment goals. Since 1924, when our founders invented the mutual fund, collaboration, a long-term focus and skilled active research have fueled our success. As a leading global investment manager, we hire employees who share our values, align with investors who share our long-term philosophy, and always act in the best interest of our clients. Click the link below to return to Job Search Home Page: https://mfs.wd1.myworkdayjobs.com/MFS-Careers

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