Data Scientist

• Responsible for mining big data, interpreting and analyzing complex data sets
• Develops and deploys predictive models to analyze company performance and improve customer experiences
• Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
• Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

• Develop and maintain the analytical framework used to model energy costs across Electrify America's network of 1,000+ charging sites spanning more than 250 utility territories.
• Research, interpret, and maintain utility tariff data, translating complex rate structures into scalable analytical models and operational systems.
• Build and enhance models that quantify energy costs at a granular session level, including demand charges, energy charges, and other tariff-based cost drivers.
• Develop methodologies and models that incorporate wholesale energy market dynamics, including hourly pricing, critical event pricing, and nodal market signals.
• Design predictive models that estimate marginal utility costs and collaborate with energy services and engineering teams to deploy these insights into real-time operational applications.
• Partner with pricing, energy services, and network P&L management teams to develop recurring reporting and ad hoc analyses on network economics and profitability.
• Quantify and track financial savings generated through tariff optimization, energy market participation, and other cost management initiatives across Electrify America, Electrify Canada, and commercial charging customers.

Senior Data Scientist, Energy

• Collaborate with team members and compliance partners to understand AML typologies and red flags we must detect
• Assist in building detection models and features using SQL, Python, DBT (Data Build Tool), and Snowflake
• Develop detection models using both rules-based and machine learning algorithms on customer, account, and transaction data
• Apply machine learning and AI techniques to enhance suspicious activity detection by analyzing and identifying appropriate target data
• Monitor and optimize model performance using proper ML Operations tools
• Help drive AI use cases for investigative workflows including integration in alert management systems, narrative generation, and straight through SAR filing
• Champion best practices for CI/CD, robust automated testing, model performance , and production monitoring
• Provide technical leadership, mentoring and training to other team members through code reviews, collaboration, and educational presentations
• Explore new technologies (e.g., anomaly detection, graph analytics, predictive modeling) and determine their applicability to the team’s use cases; orchestrate the adoption of such technologies and trends where appropriate

Principal Data Science Engineer – Financial Crimes

• Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
• Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
• Ingest and enrich unstructured Ads content and publish retrieval‑ready datasets using our managed search/vector services.
• Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and re‑ranking; set quality/latency targets and iterate via experiments.
• Design agent reasoning and policies on ads, including tool definitions and human‑in‑the‑loop approvals.
• Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
• Run A/B or uplift experiments to quantify impact and guide iteration.
• Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time‑to‑insight.

Ads AI Analytics Lead

• Lead the analytics center of excellence for Gainsight's GTM organization, with an initial focus on Sales and Customer Success
• Set standards for dashboard design, metric definitions, data governance, and insight delivery across the team
• Own the quality and trust of all GTM reporting, ensuring leadership can rely on the numbers without second-guessing them
• Act as a mentor to peer analysts, focused on technical and business acumen, escalation support, knowledge and skills sharing
• Own end-to-end analytics across bookings, pipeline health, forecasting, GRR, NRR, renewals, and customer expansion
• Partner with the GTM Planning team on evolution of planning models that support AOP, quota setting, capacity planning, and scenario analysis
• Deliver executive-ready dashboards and weekly/monthly/quarterly operating cadences for Sales and CS leadership
• Partner with Finance on bookings-to-revenue reconciliation and board-level reporting
• Proactively surface risks and opportunities, moving from answering questions to anticipating them
• Lead the transformation from static BI dashboards to AI-enabled, self-service data exploration for GTM stakeholders
• Partner with the GTM Data Architect to establish the semantic layer — the business-side definitions of ACV, GRR, pipeline, and churn that enable reliable AI querying
• Design and deploy AI-powered analytical workflows including natural language querying, anomaly detection, and proactive insight surfacing
• Enable Sales and CS leaders to query data independently without routing every question through the analytics team
• Stay current on the evolving landscape of AI analytics tooling and bring forward recommendations
• Serve as a trusted analytical thought partner to Sales VPs, CS leadership, and RevOps
• Translate complex data into clear business recommendations, connecting the numbers to the "so what"
• Support strategic planning processes including territory design, AOP, and Rules of Engagement

Data Scientist jobs in Rhode Island

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Data Scientist

Senior Data Scientist, Energy

Principal Data Science Engineer – Financial Crimes

Ads AI Analytics Lead

Senior Revenue Analytics Lead