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.
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.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
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.
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.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
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.
Design robust feature representations from implicit behavioral data to capture true user intent.
Architect sequential models that adapt to shifting user preferences for personalized recommendations.
Integrate ML scores with operations-research engines to balance personalization with business constraints.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living. They are a distributed team of top talent across 28+ U.S. states with a remote-first culture emphasizing collaboration and flexibility.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
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Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.
Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.
Design, build, and maintain scalable data pipelines for processing large volumes of transactional data.
Develop and own end-to-end data models, transformations, and analytics solutions for business intelligence and machine learning.
Evolve cloud-based data platforms and establish data quality practices to prepare for AI-powered use cases.
The company builds and scales data infrastructure for next-generation customer experiences and analytics platforms. It is a fast-growing technology company with a fully remote, collaborative culture.
Partner with Product & Engineering to analyze product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. Operating as a fully virtual and remote-first employer, the company values customer focus, execution, candid communication, collaboration, and joy.
Partner with cross-functional teams to define high-impact product questions, success metrics, and decision frameworks.
Analyze user behavior, creator activity, and content ecosystems to identify opportunities and risks.
Design and analyze experiments, including A/B tests and causal measurement, to evaluate product launches and strategic initiatives.
VRChat offers a first-of-its-kind, game-changing platform that provides an endless collection of social VR experiences and gives the power of creation to its robust community. The company has raised around $100M to date and its team includes people from Netflix, Twitter, Meta, Microsoft, Roblox, Google, Amazon, Unity, Spotify, Discord, Uber, eBay, Robinhood, Twitch, Zynga and TikTok.
Conduct in-depth analysis to shape product-led growth and B2B strategy.
Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
Collaborate with product and engineering teams to drive experimentation culture and practices.
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
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.
Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning.
Implement Agile methodologies, including sprint-based development and quarterly cost reviews.
Integrate customer feedback and document model performance and operational impact.
SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions to enable national security missions worldwide, with a focus on government clients.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.