Data Science Lead Analyst (Distribution Data Science Team)

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

At MFS, we believe in fair and transparent compensation. For that reason, we're including the salary range for this position. This range reflects our good-faith expectation forwhat we'll pay depending on the candidate's experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensationbased on both individual and company performance. Other components of our Total Rewards Package include:

• 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

Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work. We are committed to transparency - if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we'll be happy to discuss them

#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.

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.