Top Data & Analytics Jobs

Lead institutional research, reporting, and business intelligence to support planning, accreditation, enrollment, and compliance. Supervise IR/analytics staff, develop dashboards and predictive analyses, manage state/federal reporting, and advise leadership using data-driven insights.

Serve as executive advisor to a portfolio of 25-30 public-sector Chief Data Officers, delivering briefings, workshops and coaching on data and analytics strategy, governance, data science, and information management. Collaborate with sales, analysts and client teams to retain members and support regional growth. Predominantly home-based, client-facing role requiring executive presence and portfolio administration.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

As a Senior Data Engineer, you'll design data pipelines, develop analytics ecosystems, and integrate AI/ML capabilities for mission-driven projects, guiding teams in an agile environment.

The Data Engineer will design and build data pipelines and platforms, mentor teams, and implement AI/ML solutions for various high-impact projects, primarily in secure environments.

The Data Scientist will lead commercial analytics, build ML forecasting models, conduct deep analyses on sales performance, and mentor junior analysts.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

Build and maintain ETL/ELT pipelines in a lakehouse/cloud environment, ensure data quality and lineage, and apply classical statistics and ML (anomaly detection, regression, time-series) to support operational decision-making and stakeholder reporting.

Lead analytics planning and delivery across client engagements, translate data into business outcomes, drive advanced measurement (attribution, incrementality, experimentation), integrate AI and automation into workflows, mentor and grow analytics teams, and partner cross-functionally to inform media strategy and optimize performance.

Lead and execute analytics across client engagements: measurement strategy, reporting, advanced measurement (attribution, incrementality, experimentation), AI-enabled analytics, and team leadership. Ensure analytics inform media planning, deliver scalable measurement frameworks, and drive client-facing insights tied to business outcomes while mentoring an analytics team.

Design and deliver BI and data-driven solutions for banking lines: build dashboards, reports, forecasting models, and automation; ensure data quality, compliance, and reliable reporting; liaise with stakeholders and technical teams to translate requirements into actionable analytics and process improvements.

The Applied ML Scientist will collaborate with researchers to develop and improve statistical methods that enhance trading strategies through applied machine learning.

Lead hands-on technical leadership in machine learning engineering, mentor peers, oversee infrastructure delivery, and foster innovation in AI/ML solutions at Xometry.

Develop and implement machine learning models, optimize algorithms, analyze data trends, and collaborate with cross-functional teams to enhance the platform.

Lead the Data & ML Platform team, overseeing data engineering, real-time systems, and ML enablement, while building reliable, scalable data platforms and improving data architecture.

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

Join the Machine Learning team to develop deep learning models for trading strategies, collaborate with researchers and engineers, and mentor new colleagues.

The Principal Data Engineer will design and implement data infrastructure for Voice AI products, lead a team of data engineers, and optimize data systems for machine learning. Responsibilities include building data pipelines, driving infrastructure strategy, and collaborating with cross-functional teams.

The Commercial Analytics Manager will lead investigations into KPI shifts, mentor Brand Analysts, and oversee brand health. The role bridges business and data science, ensuring optimal business growth and data-driven decision-making.

The Research Engineer will design and build evaluation systems to measure data quality for Firecrawl's web data extraction, creating metrics and benchmarks, and collaborating on model improvements.

The Director of Master Data Management leads data governance and strategy, ensuring data integrity and consistency across business operations, while managing a cross-functional team.

The Officer, Model Risk Management validates bank-wide models, ensuring compliance with regulations. Responsibilities include developing testing plans, assessing model performance, reviewing documentation, and collaborating with stakeholders for effective model governance.

The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.