Jobs at Numerator

Develop statistical methodologies and production data science solutions for consumer purchase panel products. Apply sampling, weighting, modeling, classification, anomaly detection, and optimization to improve data quality and representativeness. Build scalable Python and SQL workflows, monitoring frameworks, and internal tools. Collaborate with Product, Engineering, Data Operations, and business partners throughout the project lifecycle, while clearly communicating methodologies, findings, assumptions, and tradeoffs.

Lead and grow a data science team responsible for panel quality, representativeness, and measurement methodology. Advance statistical and ML methods, partner cross-functionally to productionize robust, explainable measurement systems, and communicate technical insights to internal and client audiences.

Develop statistical methodologies and data science solutions for consumer purchase panel data. Build Python and SQL workflows, metrics, monitoring, and validation frameworks; investigate data quality and consumer behavior; and support projects from exploration through deployment. Collaborate with Product, Engineering, Data Operations, and business partners while communicating methodologies, findings, assumptions, and tradeoffs to technical and non-technical audiences.

Leads retailer-level benchmark development, external data integration, calibration, data quality validation, and trend research for panel data products. Partners with Data Science, Product, Engineering, Operations, and Client teams to investigate discrepancies, establish performance metrics, build dashboards, improve processes, and communicate actionable insights. Requires advanced SQL, Python, statistical modeling, consumer or panel data expertise, and cross-functional leadership.

Serves as the primary liaison between market research clients and internal analytics teams. Manages key client relationships, oversees recurring quarterly reporting, conducts ad hoc analysis, interprets complex datasets, and translates findings into actionable business recommendations. The role requires strong data storytelling, presentation, project oversight, attention to detail, and consultative communication to build client trust and retention.

Build and operate cloud and on-premise infrastructure across product teams. Deploy Kubernetes applications and third-party services using AWS, Terraform, and Ansible; improve observability, monitoring, reliability, and performance; develop internal DevOps tools; support architecture, troubleshooting, code reviews, documentation, training, vendor evaluations, and proof-of-concept initiatives. Mentor product teams and help drive Agile planning and adoption of self-service, self-healing infrastructure ecosystems.

Lead technical onboarding, implementation, and adoption for MCP-based and emerging solutions. Guide customers through setup, testing, and activation; support pre-sales discovery; monitor engagement and adoption; and translate technical capabilities into practical outcomes. Build scalable playbooks, documentation, training, and internal enablement while partnering with Sales, Customer Success, Product, and Engineering. Identify adoption friction and use customer feedback to improve implementation processes and product support.

Leads customer onboarding engagements from implementation through adoption and time-to-value. Builds onboarding plans, conducts training, develops enablement materials, confirms use cases, and manages customer relationships. Analyzes adoption metrics and feedback to identify risks and improvement opportunities. Uses AI-enabled tools and automation to improve workflows and personalize customer experiences while collaborating with account teams and internal stakeholders.

Lead enterprise sales growth for Numerator’s restaurant segment by prospecting new business, expanding existing accounts, engaging senior executives, uncovering client needs, presenting market research solutions, and managing the full sales cycle through negotiation and close. The role requires restaurant-focused enterprise software sales experience, consultative selling, strategic partnership management, strong presentation skills, and Salesforce.com proficiency.

Drive enterprise sales growth among CPG brands and retailers by expanding major accounts, prospecting new business, developing executive relationships, uncovering customer needs, presenting Numerator solutions, and leading sales cycles through negotiation and close. The role requires strong knowledge of consumer products, marketing, advertising, market research, and shopper insights, along with enterprise software sales experience and Salesforce proficiency.

Conduct qualitative market research from project design through execution, analysis, and delivery. Analyze consumer insights, design research guides, moderate asynchronous online sessions, and create strategic reports, presentations, video reels, and summary decks. Collaborate with consultants and operations teams, integrate AI tools to improve research workflows, manage multiple projects and deadlines, and deliver accurate, actionable, story-driven findings for clients.

Support Numerator clients through ad hoc analyses, consumer-panel insights, platform guidance, reporting, and recommendations that improve sales and marketing effectiveness. The role requires understanding syndicated and household panel data, business intelligence platforms, client relationship management, presentations, and data-driven problem solving. It also involves developing expertise in Numerator solutions and sharing consumer behavior findings through industry content, forums, whitepapers, and blogs.

Leads advanced quantitative market research engagements, including segmentations and trackers, from project design through delivery. Manages client relationships, research strategy, questionnaires, deliverables, presentations, workshops, timelines, and project teams. Partners with statisticians, methodology experts, and account teams to produce actionable insights, integrate panel data, and support strategic client decisions. Coaches team members, oversees multiple complex projects, and serves as a senior trusted advisor to CPG and retail clients.

Drive revenue growth in the CPG vertical by managing full sales cycle from prospecting to close. Develop account strategies, build multi-level client relationships, manage pipeline and forecasting, negotiate contracts and renewals, and demonstrate product ROI. Collaborate with internal teams to refine sales materials and strategy. Meet or exceed quota through strategic hunting and effective communication with senior executives.

Lead and grow a small ML engineering team while staying hands-on: design and ship GenAI features, build agentic LLM systems (NER, classification, retrieval, summarization), partner with PM and engineering, scope ambiguous problems, and reduce COGS through ML automation.

Drive growth in the CPG vertical by managing the full sales cycle from prospecting through contract close. Develop territory and account strategies, build executive-level relationships, grow and manage pipeline, communicate solution value and ROI, negotiate strategic partnerships, forecast accurately, and consistently meet or exceed quota. The role requires technology or SaaS sales experience, strong prospecting ability, and effective collaboration with solutions consultants and internal teams.

Serve as primary client contact and engagement lead for CPG and retail clients, managing projects and delivering insights from consumer panel and survey data. Drive platform utilization, prototype product enhancements, support sales as a subject matter expert, create thought leadership, and present data-driven recommendations. Requires strong project management, Excel and BI skills, CPG/retailer domain knowledge, and occasional travel.