Lead Data Scientist

About the role

The annual base salary for this position ranges from $126,700.00 in our lowest geographic market to $258,400.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information About Benefits Can Be Found Here.

Lead, Data Scientist, Performance Operations & Insights

Location: Boston, MA

Become Part of the Converse Team

Converse is a place to explore potential, break barriers, and push the edges of what can be. We look for people who can grow, think, dream, and create—bringing skills and passion to a constantly evolving world.

About Our Team

The EBP Performance Operations & Insights team sits at the center of Enterprise Business Planning, translating enterprise performance data into actionable insights that power both in-season execution and long-range planning.

We are evolving from reporting to decision-ready analytics at scale—enabling a single global view of performance while accounting for regional nuance. At the same time, we are helping to instill a culture of performance management across Converse—driving greater clarity, accountability, and consistency in how performance is measured, understood, and acted upon across the enterprise.

The Role

The Lead, Data Scientist, EBP Performance Operations & Insights is a Boston-based role responsible for advancing global analytics and embedding more sophisticated technical capabilities into planning workflows.

This role partners with numerous cross-functional stakeholders to deliver scalable, decision-oriented insights—blending business context, analytics, and technical execution to improve how performance is understood and acted upon across the enterprise.

What You’ll Do

Deliver and evolve global performance insights across demand, inventory, product, and channel views

Translate complex or ambiguous business questions into structured, scalable analytics solutions + insights

Develop forward-looking analyses to identify trends, risks, and opportunities

Build and scale analytics solutions that improve speed, automation, and consistency of insights

Partner with Technology to enhance data quality, accessibility, and usability

Contribute hands-on across data modeling, querying, and advanced analytics workflows

Drive alignment on metrics, definitions, and reporting outputs across regions

Translate complex analytical outputs into clear, executive-ready recommendations

Leverage Python, SQL, machine learning, and emerging AI technologies to create scalable analytical products that accelerate decision-making across the enterprise

Act as a strategic thought partner to Planning leaders, translating complex analytical findings into clear recommendations that drive growth, profitability, inventory productivity, and consumer outcomes

Role Requirements

Strong technical foundation in data manipulation, modeling, and large-scale data analysis

Significant experience applying advanced analytical methods such as regression analysis, time-series modeling, cohort analysis, or optimization techniques

Ability to design and evaluate models that surface patterns, forecast outcomes, or quantify risk and opportunity

Proven experience using analytical rigor, AI-enabled methods, and rapid experimentation to solve complex business problems in imperfect data environments

Experience working with imperfect or incomplete data and building structured approaches to improve signal quality

Proficiency in querying, data transformation, and building reusable analytical workflows

Experience developing scalable solutions that move from one-off analysis to productionized outputs

Ability to frame ambiguous business problems into analytically tractable approaches

Strong communication skills, with the ability to clearly explain methodologies, assumptions, and implications to non-technical stakeholders

Experience partnering cross-functionally, balancing priorities across numerous stakeholder groups

Curious, adaptable, creative problem-solving mindset

Strong attention to detail and accountability for delivery

Qualifications

5+ years of experience in advanced analytics, data science, or related technical roles (retail/consumer preferred)

Proficient in Python development (pandas, scikit-learn, statistical modeling, optimization)

Advanced in SQL (data transformation, complex querying, data engineering concepts

Familiarity with cloud analytics environments and modern data stacks/ platforms (Data Bricks and Snowflake preferred)

Practical application of AI/ML, including:

Generative AI

LLM-based workflows

Agentic systems

Retrieval-Augmented Generation (RAG)

Forecasting and predictive modeling

Ability to rapidly prototype and scale solutions

Advanced understanding of BI and visualization tools (e.g., Sigma preferred, Tableau)

Demonstrated experience turning unstructured data into actionable insights

Experience leading and owning complex projects

Solid understanding of planning concepts such as demand, inventory, and seasonality a plus

Why This Role Matters

This role plays a critical part in advancing Converse's transformation toward a more data-driven, performance-oriented organization. As the business continues to navigate an increasingly dynamic marketplace, the Lead, Data Scientist, Performance Operations & Insights helps ensure decisions are grounded in timely, trusted, and actionable insights. By combining deep analytical expertise with an understanding of planning and enterprise priorities, this role enables leaders to identify risks and opportunities earlier, improve alignment across functions and geographies, and make more informed decisions that drive growth, profitability, and operational efficiency. Beyond delivering insights, this role helps shape the future of analytics at Converse by building scalable solutions, embedding AI-enabled capabilities into planning processes, and reinforcing a culture of performance management where outcomes are measured consistently, accountability is clear, and data drives action across the enterprise.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.