Top Remote Senior Data Science Jobs in NYC, NY

Lead and standardize project management for data science initiatives across a research portfolio. Oversee project intake, planning, risk management, resource allocation, timelines, and stakeholder communication. Build scalable PM frameworks, track KPIs, resolve blockers, coordinate cross-functional teams, contribute to technical work and documentation as needed, and mentor other project/program managers to ensure high-quality deliverables and sponsor satisfaction.

Design, build, and deploy predictive GTM models (LTV, attribution, propensity). Lead experimentation and causal analyses, define KPI measurement frameworks, partner with Data Engineering, and translate statistical insights into actionable recommendations for Sales, Marketing, and Customer Success.

The Director of Data Science leads multiple teams, focusing on Azure architecture and cloud modernization, while mentoring architects, promoting a strong engineering culture, and connecting business goals to technical solutions.

Lead a 5–8 person Data Science team to develop and operationalize FWA detection models using SAS and Python on multi‑payer healthcare claims. Oversee model development, data pipelines, quality reviews, stakeholder presentations, and collaboration with SMEs and BI developers. Split role ~40% management, 60% hands-on coding/analysis.

Lead and grow the Client Data Science team (including three direct reports); mentor staff; write and optimize R, Python, and SQL code; apply machine learning and statistical methods; aggregate and analyze multi-source data; create visualizations and reports; liaise with stakeholders; document work in JIRA and present findings to diverse audiences.

Own and evaluate national and subnational projection models using large-scale healthcare claims. Build evaluation studies, diagnostic tooling, and benchmarks. Investigate customer-raised anomalies, communicate methodology, review model code with engineering, and maintain documentation to ensure model quality and trust.

Lead a team delivering advanced analytics, statistical modeling, and ML to inform marketing, pricing, demand and sales decisions. Partner cross-functionally, manage complex internal/external datasets, maintain analytics infrastructure, drive automation, and translate model outputs into clear business recommendations while developing analytics talent and standards.

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.