Data Science Lead Analyst
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 discipline5-6+ years' work experience in a data analytics / science roleProficiency 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 unstructuredAdvanced 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 organizationSkills to communicate complex ideas effectively and willingness to understand the business implications of a wide variety of dataAt 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 timeFamily Focus : Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leaveHealth and Welfare : Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributionsWellness Programs : Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and moreLife & Disability Benefits : Company-paid basic life insurance and short-term disabilityFinancial Benefits : 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programsMFS is a hybrid work environment (remote / onsite) unless otherwise stated in the job posting.