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.
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.
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.
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.
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.
Architect, test, and deploy LLMs and agents to automate unstructured data investigations and multi-step workflows.
Perform SQL queries and data analyses to optimize gross margins, reduce fraud, and improve network quality.
Collaborate cross-functionally to translate business needs into scalable data products and drive end-to-end ownership.
Twilio is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. As a remote-first company, we foster a strong culture of connection and global inclusion.
Manage a team of three data analysts, focusing on improving their judgment, technical methods, and communication.
Drive the evolution of data practices, including prioritization, review, knowledge sharing, and quality assurance.
Navigate the implications of AI for data analysis and self-service, ensuring trusted warehouse-derived data.
Ashby is a talent analytics and recruiting platform that helps companies make data-driven hiring decisions. The company is a fast-growing, remote-first B2B SaaS company with a lean team and a culture of transparency, principled thinking, and open access to data.
Build and enhance LLM-powered analytics features such as natural-language querying, retrieval-augmented generation, and agentic workflows over structured and unstructured healthcare data.
Contribute to text-to-SQL and semantic-layer systems enabling non-technical users to query complex datasets accurately and safely.
Develop retrieval pipelines using vector search and hybrid keyword+semantic methods while implementing evaluation, guardrails, and hallucination checks for compliance.
BPD is a strategic growth partner that provides integrated branding, marketing, communications, and business consulting solutions for healthcare brands. The company fosters an inclusive culture that values diversity, collaboration, and continuous learning.
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.
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.
Lead and develop the decision scientists and data scientists on the team, setting the quality bar for both disciplines.
Own the MAU driver model and forecast, and drive strategy to grow MAU.
Establish analysis standards and partner with counterparts to define common metrics and experimentation standards.
Life360 is a mobile app and tracker company that helps families stay connected with location sharing, crash detection, and more. The company has over 500 remote-first employees and fosters an AI-native culture.
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.
Leverage deep technical expertise to design and execute high-impact marketing analytics solutions.
Communicate complex strategic recommendations to stakeholders to drive buy-in and data-driven decisions.
Manage data ecosystems including ETL, governance, reporting, and visualization to deliver client value.
DEPT is a Growth Invention company that helps ambitious brands grow faster at the intersection of technology and marketing. With over 4,000 specialists, they foster a collaborative culture grounded in values of better together, relentlessly curious, and get sh*t done.
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.
Lead the strategy, architecture, and delivery of AI, machine learning, and data systems powering risk adjustment and quality programs.
Own the platform that extracts ICD and HEDIS information from medical charts, the data warehouse, and the data science research program.
Set technical direction, partner with engineering and product leadership, and lead seven teams of roughly 27 engineers, data scientists, and analysts.
Reveleer delivers a unified platform spanning risk adjustment, quality improvement, clinical intelligence, and member management for health plans navigating value-based care. Trusted by over 80 customer organizations nationwide, the company integrates data, analytics, and intelligent workflow automation with human-in-the-loop AI.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.
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.
Architect enterprise data models, extraction logic, and KPI methodology for government advisory engagements.
Mature KPI Insights from a per-engagement effort into a scalable, standardized capability with reusable dashboards and benchmark logic.
Translate data findings into executive-level recommendations and support pre-sales technical credibility for RFP and discovery processes.
Accela provides a cloud-based platform of government software solutions that accelerate growth, efficiency, and transparency in communities of all sizes. With nearly 20 years of industry leadership, the company serves small and medium governments with robust SaaS offerings to improve citizen engagement and enable thriving communities.
Analyze network trends and leverage predictive modeling to generate strategic insights for the Customer Care team.
Communicate complex findings through clear narratives and visualizations to non-technical stakeholders.
Maintain dashboards and collaborate with cross-functional teams to optimize customer experience and revenue.
They power the future of the home services industry, connecting homeowners with skilled pros. They are a global company with 9 brands in 8 countries and employees worldwide, valuing diversity and innovation.