Develop production-ready analytics that support smarter energy decisions, improve grid reliability, and accelerate the transition toward a more sustainable future.
Lead the design, development, and refinement of statistical and machine learning models for load forecasting, flexibility analysis, customer behavior modeling, and energy resource optimization.
Analyze large-scale datasets including smart meter data, customer information, grid attributes, and external factors to identify patterns and support strategic decision-making.
Our partner company offers the opportunity to apply advanced data science, machine learning, and AI techniques to solve complex challenges in the energy sector. You will work with one of the largest energy datasets available, combining large-scale meter data, weather information, geospatial context, and grid attributes.
Develop and improve accurate and robust energy forecasting models and control algorithms.
Design, write, test, and deploy production-grade code for mission-critical forecasting products.
Translate large distributed energy datasets into actionable insights for utilities and stakeholders.
EnergyHub empowers utilities and their customers to create a clean, distributed energy future by turning smart devices into virtual power plants. The company offers a collaborative culture with a generous benefits package and is an Equal Opportunity Employer.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.
DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.
Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
Partner with client stakeholders to develop data-driven strategies and present findings to executives.
Mentor team members and influence data governance and best practices within the organization.
Excella is a transformative technology firm that helps organizations unlock new possibilities. They are committed to developing talent and providing opportunities for career growth at every stage, with a collaborative team dedicated to solving complex problems.
Lead research and development of health trajectory models predicting member states and risks using real-world longitudinal data.
Design next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to member context.
Serve as senior scientific lead for algorithmic rigor, mentoring scientists and collaborating with product and engineering teams.
Omada Health is a virtual-first healthcare company that combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care for chronic conditions like obesity and diabetes. They have served over two million members across 2,000+ employers and health plans, and have been certified as a Great Place to Work.
Building optimisation, forecasting and market participation algorithms to trade DER fleets in wholesale markets.
Modelling DER physical behaviour to connect control with market participation.
Operating large DER fleets in real time.
Lunar Energy is building an ecosystem of all-electric products for homes, starting with a home battery system and cloud PaaS for managing DER assets. They are a team of visionary entrepreneurs and industry experts united by a shared vision of electrifying homes through an integrated software platform.
Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.
Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.
Develop and improve AI solutions using state-of-the-art machine learning and LLM technologies.
Collaborate with data scientists, product owners, and developers throughout the data-driven development process.
Apply software engineering best practices to build reliable code and conduct code reviews.
Wrike is a work management platform that helps teams collaborate and increase productivity. With over 1,000 employees across 10 global hubs, the company fosters a culture of innovation, collaboration, and customer focus.
Design and deploy forecasting models on GCP using Vertex AI and BigQuery ML.
Build AI agents for forecasting and quotation workflows using LangChain and Vertex AI Agents.
Develop production ML pipelines and implement MLOps best practices with model monitoring.
Quantiphi is an AI-first global digital engineering company that helps Fortune 1000 organizations transform ideas into measurable business impact. Headquartered in Boston with over 4,000 professionals worldwide, it is certified as a Great Place to Work and fosters a culture of transparency, diversity, learning, and growth.
Build and improve ML/CV models, including retraining and optimizing for Samsara-specific problems.
Work with petabyte-scale data from camera and sensor devices to develop new models.
Partner with firmware and full-stack teams to deploy models for optimal performance and cost.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a public company with over 2.3 million IoT devices deployed globally, Samsara fosters a culture of growth mindset, inclusivity, and teamwork.
Own productization of Alt's pricing and underwriting models from research through production, keeping them accurate and fast at scale.
Optimize pricing models to reduce infrastructure costs while improving accuracy, especially for high-value assets.
Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring.
Alt unlocks the value of alternative assets, starting with the $5B trading-card market, offering a platform for collectors to buy, sell, vault, and finance their cards. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, the company is at an inflection point with its pricing intelligence infrastructure as a competitive moat.
Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Partner directly with enterprise customers to understand business challenges and define AI solution requirements.
Design, build, and deploy scalable machine learning, Generative AI, and agentic AI solutions for supply chain challenges.
Collaborate cross-functionally with Product, Engineering, and Customer Success teams to deliver customer outcomes.
We pioneer intelligent, autonomous systems that redefine supply chain risk management, using agentic AI to help global enterprises predict disruptions. We are a fully remote, mission-led team focused on making critical goods get where they need to be.
Define and execute AI strategy, partnering with executive leadership to build AssetWatch's AI-native vision and roadmap.
Lead the AI and Data Science organization, building, mentoring, and developing high-performing teams across Machine Learning Engineering and AI Engineering.
Partner across the business to identify AI opportunities, implement governance, and measure impact on customer outcomes and revenue.
AssetWatch powers manufacturing uptime by delivering condition monitoring solutions for global manufacturers. They are a devoted team of world-renowned engineers and distinguished business leaders united by a common goal to build the future of predictive maintenance.
Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.
Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.
Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
Research and develop new methods and tools to improve the business and present results to leadership.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.
Build reusable data models and pipelines to become the source of truth for the Video product team.
Establish data and analysis infrastructure for scalable A/B testing and experimentation.
Develop predictive and causal models to improve forecasting, retention, pricing, and product strategy.
PlayOn is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. Backed by KKR, we are a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.
Lead complex analytical, predictive, and applied AI workstreams with high independence.
Define data science approaches and modeling strategies for high-value business problems.
Mentor junior practitioners and improve delivery quality through best practices.
Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. With a global, borderless team and a culture fostering creativity and autonomy, they partner with leading companies like L'Oréal and Audi.
Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models and LLM reasoning.
Build predictive and prescriptive models for churn risk, growth, adoption, and account health scoring.
Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, now uniting human teams with AI agents. With over 20 years of experience, they foster a culture of innovation and collaboration.