Converse is seeking a Lead, Data Scientist, Performance Operations & Insights to advance global analytics and embed sophisticated technical capabilities into planning workflows.
The Boston-based role partners with cross-functional stakeholders to deliver scalable, decision-oriented insights that 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 and insights.
- Develop forward-looking analyses to identify trends, risks, and opportunities.
- Build and scale analytics solutions that improve the 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.
- Act as a strategic thought partner to Planning leaders, translating analytical findings into 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.
- Experience using analytical rigor, AI-enabled methods, and rapid experimentation to solve complex business problems.
- 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.
- Strong communication and cross-functional partnership skills.
- Curious, adaptable, creative problem-solving mindset with strong attention to detail and accountability for delivery.
Qualifications
- 5+ years of experience in advanced analytics, data science, or related technical roles; retail or consumer experience preferred.
- Proficiency in Python development, including pandas, scikit-learn, statistical modeling, and optimization.
- Advanced SQL skills, including data transformation, complex querying, and data engineering concepts.
- Familiarity with cloud analytics environments and modern data stacks; Databricks and Snowflake preferred.
- Practical application of AI and machine learning, including generative AI, LLM-based workflows, agentic systems, RAG, forecasting, and predictive modeling.
- Ability to rapidly prototype and scale solutions.
- Advanced understanding of BI and visualization tools, such as Sigma or Tableau.
- Demonstrated experience turning unstructured data into actionable insights and leading complex projects.
Why This Role Matters
This role helps advance Converse’s transformation toward a more data-driven, performance-oriented organization by building scalable solutions, embedding AI-enabled capabilities into planning processes, and reinforcing a culture of performance management.
Converse offers accommodations throughout the interview process, including screen readers, sign language interpreters, accessible interview locations, closed captioning, and other reasonable modifications as needed.