Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Own machine learning strategy and execution, including MLOps, infrastructure, and predictive modeling.
Build analytics data models in DBT and analyze clinical and operational data to drive outcomes.
Collaborate with clinical, operations, product, finance, and tech leadership to scale data science.
Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs. The company is a fast-growing, startup-minded network backed by leading healthcare investors, committed to keeping independent medicine strong.
Own the middle layer of the data pipeline, integrating Quantum interaction data with account, device, and operational data sources.
Build and maintain ETL workflows, develop AWS processing resources, and prepare reliable datasets for Tableau.
Investigate data discrepancies, troubleshoot pipeline issues, and collaborate with engineering leads and product owners as data complexity grows.
Blend is a premier AI services provider that partners with clients to create meaningful impact through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, dedicated to developing world-class talent and delivering data-driven strategy.
Collect, validate, and manage data from multiple sources to ensure accuracy and consistency.
Develop dashboards and reports using Tableau, Power BI, and GA4/GTM to deliver actionable insights.
Partner with global stakeholders to support data-driven decisions and monitor KPIs.
Quadient supports businesses of all sizes in digital transformation and growth, unlocking operational efficiency with automation. It is a diverse, global team focused on secure and sustainable business connections, with a culture of inclusion and continuous learning.
Own Mood's data function end to end, leading a small team while staying hands-on.
Turn data into decisions that improve profitability, prioritizing initiatives by revenue and cost impact.
Manage warehouses, pipelines, reporting, measurement, and governance in a regulated environment.
Mood is a category-defining omni-channel hemp brand offering premium products across DTC and retail. It is a fast-scaling, profitable company with a startup culture where the right people can make a lasting impact.
Design AI evaluations: define ground truth, metrics, and scoring methods for models and agents.
Build repeatable eval loops to track quality over time and catch regressions before release.
Translate eval results into actionable recommendations for system improvements.
Alpaca is a global leader in agent-first brokerage infrastructure, providing APIs for stocks, ETFs, options, crypto, and more. We're a diverse team of 400+ remote-first members backed by $400M in funding, committed to opening financial services to everyone.
Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments.
Analyze and interpret PB-scale transactional, operational, and customer data using proprietary and open source tools.
Translate complex findings into simple visualizations and recommendations for operational teams and executives.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. With over 300 million users across 100+ countries, it offers a flat, results-driven culture and a fast-paced, innovative environment.
Own the Operations data model and turn raw events into trustworthy data products.
Partner with Operations stakeholders and drive self-service for routine questions.
Look past metrics to identify process improvements and tooling that remove manual work.
Finom is a European fintech company that provides digital banking and payment services for small businesses. It fosters a modern, eco-conscious culture with a focus on employee well-being, continuous development, and equal opportunity.
Build and deploy production-ready ML solutions using classical ML and statistical methods.
Own ML projects end-to-end from data pipelines and modelling to deployment and monitoring.
Work with engineers and product managers to turn business problems into practical ML and GenAI solutions.
Sport Alliance develops software solutions for fitness businesses, powering products like Magicline and PerfectGym Next used by thousands of gyms and millions of members. You'll join a collaborative team with flexible work arrangements and a focus on practical ML innovation.
Design, run, and analyze A/B tests, applying causal inference (DiD, Synthetic Control, uplift) for marketing impact.
Measure incrementality, attribution, ROI/ROAS, CLV, and marketing mix modeling.
Build predictive models on Databricks (Spark, Delta Lake) and collaborate with data teams.
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.