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.
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.
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 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.
Drive development of M&V methodologies and data science models for accurate evaluation of grid services from fleets of distributed energy resources.
Write production-level code, prototype data products, and apply machine learning algorithms to energy IoT data.
Translate data from one of the largest distributed energy datasets into actionable insights for utilities and stakeholders.
EnergyHub enables a carbon-free, distributed energy future by integrating energy devices with the electric power grid. They coordinate data from over 1,000,000 devices and foster a collaborative, casual culture with flexibility.
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.
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.
Find and ship predictive signals by building student-level predictors and analyzing conversational data to improve AI.
Own AI data tooling and evaluation, including building frameworks for model assessment and maintaining in-warehouse AI configuration.
Make your work reusable by equipping internal teams with data and analysis, and document reasoning and assumptions.
Mainstay, a division of Lemnis, is a public charity dedicated to expanding learning for all through an engagement platform that helps colleges and businesses start and measure conversations. The team is growing, collaborative, and inclusive, with a focus on innovation and mentorship.
Work with large, complex data sets to solve analytical problems using statistical methods.
Collaborate cross-functionally with product, engineering, and other teams to deliver actionable insights.
Design and execute experiments to measure feature impact using causal inference methods.
Maleda Tech is a technology staffing firm that connects professionals with contract roles. They are currently seeking a Lead Advanced Analyst for a remote contract position supporting a consumer product team.
Own core revenue KPIs and build predictive models to anticipate revenue outcomes and retention patterns.
Manage performance and growth analytics, including dashboards, incentive compensation, and quarterly planning.
Build and maintain data models in dbt, automate reporting, and ensure data quality across platforms.
Cherry is a fast-growing fintech company that provides a Buy Now, Pay Later solution for healthcare services. Founded in 2019 by Stanford entrepreneurs, the company is backed by investors including Kleiner Perkins and DCM.
Work with a cross-functional team to advance algorithmic pricing across the business.
Iteratively design a system that establishes foundational signals of supply, demand, and willingness-to-pay.
Build interpretability into the system so that price changes are explainable and consistently actioned.
PatientPoint is a leading digital health company that transforms the healthcare experience through behavior-changing content. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven culture.
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.