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.
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, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Dive deep into customer data to understand behavior across millions of users.
Transform questions from various teams into actionable insights and design studies.
Automate frameworks, write documentation, and communicate findings clearly.
Nex combines technology and play to deliver interactive experiences powered by natural body motion, encouraging families to move more together. The company has sold over a million devices, has hundreds of thousands of active subscribers, and fosters a product-driven culture that values talent and individual growth.
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 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: Own ambiguous problems, design analysis frameworks, and enforce data integrity within your domain.
Execution: Deliver high-impact projects, balancing trade-offs to maximize business value.
Analytical Rigor: Apply advanced statistical methods and AI-driven anomaly detection to uncover opportunities.
Gusto handles payroll, health insurance, 401(k)s, and HR for small businesses. We support over 500,000 small businesses nationwide and build a workplace that reflects the people we serve.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
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.
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.
Own funnel metric monitoring and diagnose drop-off drivers using SQL and Python.
Build and maintain dbt data models in Snowflake and Periscope dashboards.
Communicate actionable recommendations to senior management and support junior analysts.
NinjaHoldings provides digital banking and lending products through CreditNinja and NinjaCard, focusing on underserved consumers. Headquartered in Chicago with a distributed global workforce, it is a lean, growing organization committed to advancing consumer finance in the US.
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.
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.
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.
South America
Unlimited PTO
12w maternity
12w paternity
Own end-to-end analysis and build durable reporting infrastructure using Snowflake, dbt, and Hex.
Translate ambiguous business questions into rigorous, well-documented analysis with expert SQL.
Partner with teams to define metrics, investigate anomalies, and mentor other analysts.
PadSplit is a technology company addressing the affordable housing crisis through shared housing. It is a growing company with a collaborative culture and a focus on data-driven decision-making.
Own core data pipelines end to end, building and operating ELT pipelines that move data from product and third-party systems into Snowflake.
Build the data foundation for AIDE's AI initiatives, making governed data available for agentic AI tooling.
Own data governance and pipeline health, including access controls, data quality, and warehouse cost management.
Benchling is an AI platform for biotech R&D that enables scientists to design experiments, capture structured data, and run AI agents in their workflows. Over 200,000 scientists worldwide trust Benchling, and the company emphasizes AI fluency and innovation in its culture.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Wrapbook is an AI platform for production finance, built for feature films, TV, and commercials. Trusted by teams at Netflix, Paramount, and Anonymous Content, the company of 350+ employees is backed by top investors and uses AI to transform how finance teams work.
Lead hands-on data architecture, coding in SQL and Python, and building visualizations in Tableau and Power BI.
Design and optimize end-to-end data pipelines using BigQuery, Cloud Dataflow, Pub/Sub, and Looker.
Manage projects through all phases, from requirements gathering to deployment, while facilitating workshops and executive meetings.
Qvest US is a global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. With over 300 employees, we foster a culture of collaboration and inclusiveness, and have been recognized as a 'Best Place to Work' and 'Great Place to Work.'
Deliver decision-ready analysis across Sales, Marketing, and Client Success, including pipeline health, funnel conversion, and retention drivers.
Build and maintain dbt models and marts for GTM domains with Salesforce as a core source, ensuring data quality and documentation.
Contribute to Lighthouse, our BI-as-code platform, pushing analytics workflows toward agentic AI to accelerate analysis and reduce manual reporting.
We are building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we are a Series C company that has hit $100M in annual recurring revenue with over 90,000 real estate professionals using our platform.
Develop complex data pipelines using Python and SQL to transform raw data into reliable components.
Design and maintain data infrastructure including Snowflake and Airflow for accurate, trusted data.
Collaborate with stakeholders across Executive, Product, and Engineering to translate business needs into technical solutions.
Pie Insurance is a technology-driven company that simplifies commercial insurance for small businesses. They are a diverse team of builders, dreamers, and entrepreneurs driven by core values.