ExecutivePlacements.com · 8 hours ago
Lead Data Scientist (Remote/Virtual)
ExecutivePlacements.com is seeking a Lead Data Scientist Commercial to lead a team responsible for designing, developing, and deploying advanced analytics and AI solutions. This role involves overseeing the delivery of solutions that drive commercial growth and customer engagement, while managing a team of data scientists to ensure effective implementation of AI/ML solutions.
Human ResourcesOnline PortalsRecruiting
Responsibilities
Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems suited for advanced analytics and AI
Oversee delivery of solutions including eCommerce personalization and recommendation systems, seller effectiveness and productivity tools, and advanced marketing and merchandising analytics
Ensure solutions are production-ready, scalable, and embedded into commercial workflows to drive sustained and measurable revenue, margin, and customer experience impact
Lead, develop, and retain high-performing teams of data scientists, with a strong focus on innovation, execution, and talent development
Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities, customer strategy, and measurable business outcomes
Influence decision-making by leading statistical experimentation and driving adoption of data-driven decision making across Sales, Merchandising, Marketing, and Digital leadership teams
Provide technical and analytical leadership across applied AI, optimization, and statistical modeling
Set standards for analytical rigor, model performance, reliability, and commercial business impact
Collaborate with ML Engineering, Digital, and Platform teams to ensure robust code development, scalable deployment, and stable production operations across the full model lifecycle
Qualification
Required
Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility
Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock), including LLM-based and agentic architectures, with production-grade hosting, monitoring, governance, and end-to-end MLOps
Experience guiding teams in Python-based data science ecosystems and collaborative development practices, including code quality, testing, and reproducibility. Comfort with modern agentic coding tools (e.g., Claude Code, GitHub Copilot)
Strong command of machine learning, optimization methods, and statistical experimentation at scale, particularly in commercial, customer, or growth-oriented use cases
Business-oriented analytical thinker with a high bar for rigor, execution, and reliability
Clear, concise communicator able to influence senior leaders with data-driven insights
Bachelors degree in Computer Science, Engineering, Mathematics, or a related quantitative field required
Preferred
Experience leading applied data science or AI teams in commercial, sales, marketing, or eCommerce environments (especially B2B)
Strong consultative, business-facing background with demonstrated success driving adoption of analytics products
Able to communicate clearly and influence stakeholders through storytelling and public speaking
Experience in complex, SKU-heavy or distribution-style businesses
Benefits
Health insurance
Pre-tax spending accounts
Retirement benefits
Paid time off
Short-term and long-term disability
Employee stock purchase plan
Life insurance
Company
ExecutivePlacements.com
Online recruitment
Funding
Current Stage
Early StageCompany data provided by crunchbase