Help deliver near-term Fleet Intelligence initiatives including tire intelligence, utilization intelligence, and ROI measurement.
Translate product questions into clear hypotheses and develop practical machine learning models.
Partner with Product and Design to make model outputs understandable and actionable within customer workflows.
Fleetio provides a modern software platform for organizations worldwide to manage their fleet operations. The company has thousands of customers, raised $450M in Series D funding, and fosters a remote-friendly culture focused on innovation and diversity.
Turn raw operational data into products that improve customer decision-making, owning the problem from framing to delivery.
Build data pipelines and deploy models using Python, SQL, and Snowflake, ensuring models are usable, explainable, and measurable.
Partner with Product Managers and Software Engineers to embed machine learning into real product workflows.
WorkWave provides field service and logistics software solutions for businesses of all sizes. They are a global company with a remote-first culture and have been recognized as a Best Place to Work, with employees in over 30 states and 7 countries.
Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
Transform complex data into actionable insights, develop features and training datasets within Snowflake and dbt, and use Python and SQL for feature engineering and machine learning.
Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
The client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Build and own data infrastructure, including pipelines, warehousing, and ETL/ELT, ensuring a solid foundation.
Analyze product usage and user behavior, identifying patterns and segmenting users to surface actionable insights.
Build and ship models using LLM-based systems, traditional ML, and evaluation frameworks, connecting data to product decisions.
G-P is a leading SaaS-based Global Employment Platform that enables clients to expand into over 180 countries quickly and efficiently. The company has a diverse, remote-first team that fosters innovation and values every contribution.
Collaborate with the Land Department to align data models, pipelines, and governance with process improvement initiatives.
Design and maintain analytical solutions using SQL, and contribute across the full analytics lifecycle from discovery to refinement.
Communicate insights and recommendations to technical and non-technical stakeholders, and stay current with emerging analytics technologies.
EQT is an energy company focused on natural gas production. The company emphasizes transparent leadership, collaboration, and supported growth for employees.
Build and maintain a quality scoring classifier for support interactions using NLP and LLM-based approaches.
Enhance forecasting models for support volume and staffing demand to enable responsive operational planning.
Partner with cross-functional teams to translate business needs into scalable data solutions and drive member experience improvements.
Oura empowers people to understand and improve their health through the Oura Ring, a wearable that tracks readiness, activity, and sleep. The company has helped millions globally and fosters a culture of employee well-being and growth.
Architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows.
Own the AI stack roadmap from opportunity sizing through prototyping to deployment and impact measurement.
Translate complex technical work into clear recommendations for senior stakeholders and mentor analysts.
JumpCloud is an AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. With teams in 15+ countries, it is a fast-paced, SaaS-based environment that values innovation and collaboration.
Collaborate with Land Department teams to support data science initiatives and advanced analytics.
Conduct code reviews and maintain analytical solutions using SQL and Databricks.
Generate reports and visualizations to communicate data insights to stakeholders.
EQT is a natural gas production company focused on responsible energy development. The company fosters a collaborative culture with transparent leadership and opportunities for growth, employing thousands of professionals.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Clean and parse data, perform web scraping, and use LLMs for research projects.
Create datasets from publicly available information and assist with data documentation and storage.
Work independently on multiple projects, using Python, SQL, and high-powered computing clusters.
Darden is a school of the University of Virginia, founded by Thomas Jefferson, that conducts faculty research initiatives on topics like marketing, economics, and entrepreneurship. It is part of a large university with eleven schools and affiliated foundations, employing a diverse community of students and staff.
Build and ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.
Own the full ML delivery lifecycle from data discovery to deployment, monitoring, and retraining.
Build forecasting and detection models robust to real-world data quality issues and defend tradeoffs.
Maintain client-facing presence and feedback loop, shipping usable capability like FastAPI, React, or scheduled jobs.
We accelerate positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. We're a fast-growing, profitable public benefit corporation founded in 2024, working with category leaders in real estate, energy, logistics, and utilities.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Monitor the sales pipeline, catching and resolving cases of overlapping revenue and double-counted deals.
Carry out commercial opportunity sizing and partner performance analysis to support sales and leadership decisions.
Translate complex data into clear, compelling stories that inspire action among non-technical stakeholders.
Tem is rebuilding the energy transaction infrastructure to make it transparent and fair, using AI to automate market flows. The company has raised $75 million in Series B funding and is scaling internationally, with a culture focused on innovation and sustainability.
Be the primary owner of high-impact data products, running end-to-end pipelines or building granular data feeds.
Work with massive datasets to answer key client questions and derive insights using proprietary methods.
Improve products and pipelines by developing new methodologies and features, and learn SQL, Python, and PySpark.
YipitData is a leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points daily to provide insights on ridesharing, e-commerce, and more. The company has over 90 Data team members, recently raised $475M from The Carlyle Group, and fosters a people-centric culture focused on mastery, ownership, and transparency.
Help users discover and master the Dataiku platform via training, office hours, and consultative support.
Analyze and investigate data and machine learning applications across various industries and use cases.
Mentor and educate data scientists and customer team members to aid in career development.
Dataiku is the enterprise orchestration layer for building, deploying, and governing AI. We are a global company with a culture of innovation, collaboration, and personal growth.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Maintain and run recurring data processes, including GPAL, survey weighting, and model updates.
Build and improve statistical and predictive models using cloud-based datasets and AI tools.
Partner with Engineering and other teams to automate workflows and deliver insights.
Polco runs critical local government performance databases, including GPAL, which serves as a 'Bloomberg Terminal' for local government performance. The company serves roughly 400 premier US local governments across 50 states with a mission-driven culture.