Data Science Lead Analyst (People Analytics)

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 serves as a strategic partner within the People Analytics team, leveraging advanced data science expertise to generate actionable insights on our workforce. Partner with stakeholders across HR and the business to address key organizational challenges, inform HR strategy, and transform workforce data into evidence-based solutions. 
 

WHAT YOU WILL DO

• Design, develop, and deploy advanced statistical models and machine learning algorithms to uncover strategic business intelligence on our workforce, including predicting employee behavior, performance, attrition, and engagement, while accounting for the unique complexities of people data.
• Drive analytical projects from start to finish, from data preparation and exploratory analysis to model development, storytelling, and presenting final recommendations to HR leaders and executives.
• Partner with HR COEs, IT, and broader data science community to ensure data environments are robust, secure, and optimized for innovative analytics.
• Champion responsible and ethical use of Generative AI, LLMs, and deep learning methods to surface trends, topics, and emerging needs within large, multifaceted pools of people data.
• Identify data gaps and opportunities, working proactively with stakeholders to align work with the most meaningful business questions and challenges.
• Make key information accessible through self-service dashboards and tools, empowering HR and business leaders to monitor, explore, and act on insights.
• Nurture a data-driven culture by coaching team members, sharing new methodologies, and promoting best practices in analytics and people insights.
• Be a vigilant steward of data privacy, ensuring all analytics initiatives align with organizational, legal, and ethical standards.

WHAT WE ARE LOOKING FOR

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or another quantitative discipline
• 5-6+ years’ work experience in a data analytics/science role
• Proficiency in Python, SQL, and data visualization tools (such as Tableau or Power BI)
• Experience with analyzing complex, high volume, high dimensionality data from varying sources and both structured and unstructured
• Advanced knowledge of machine learning /statistical techniques, data mining, regression, decision trees, text mining, etc.
• Ability to work collaboratively in a team environment and work effectively with people at all levels in the organization
• Skills to communicate complex ideas effectively and willingness to understand the business implications of a wide variety of data

#LI-JN1

Base Salary Range: $107,000.00 - $154,000.00 This position is eligible for competitive incentive bonus. 

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 for what we’ll pay depending on the candidate’s experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensation based 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