Lead and develop a team of analysts to set priorities, guide execution, and improve performance.
Build and evolve client reporting to clearly show program effectiveness and areas for improvement.
Analyze complex health datasets and translate findings into actionable recommendations for clients and internal teams.
Personify Health created the first personalized health platform, integrating health plan administration, holistic wellbeing, and care navigation. It is a mission-driven company serving employers and health plans with a culture that celebrates diversity and aims to improve health outcomes.
Work closely with our Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses.
Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Doximity is transforming the healthcare industry with a mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, Doximity is committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and invest in people and new advanced technologies to unlock the power of data.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries that invests in people and new advanced technologies to unlock the power of data.
You will play a critical role driving the discovery, creation, and integration of AL/ML models into our performance-management platform.
You will combine statistical methods with engineering best practices to help meet our business needs.
You will be instrumental in modeling HR data and building rich structured context to power our knowledge base as well as AI agents engaging with our customers.
15Five is an AI-powered performance management platform built for business impact. Their all-in-one people management system delivers effortless insights and enables managers to lead with impact so that companies and their people can thrive.
You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
You can deploy and iterate ML and NLP solutions in production environments, with working knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development.
You write production-grade code in Python or a comparable high-level language.
DuckDuckGo is an online protection company with a remote-first team of 300+ employees. Their mission is to raise the standard of trust online, and they have a culture of trust, inclusivity, and empowered project management.
Participate in hiring and staff management for the Data QA team.
Oversee and administer onboarding and staff training for the QA team.
Lead Data QA involvement on cross-departmental projects and serve as a subject matter expert on various datasets.
Catalist is a leader in civic data and data science innovation, providing progressive organizations with data, software, and services for engagement and mobilization. The company is home to a dedicated team of technologists and data scientists committed to using their talents for the progressive community.
Own and drive high-impact analytical problems across Care.
Translate ambiguous business questions into structured analytical approaches and clear, actionable insights.
Lead deep-dive analyses to identify inefficiencies and opportunities.
Hims & Hers is a health and wellness platform that aims to improve people's well-being by providing accessible and personalized care. They are a public company traded on the NYSE, and they emphasize a talent-first, flexible, and remote work approach.
Oversee work that affects complex systems and mission-critical areas.
Develop and implement new models into production.
Mentor other researchers, provide technical guidance, coaching, and feedback.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. They have become a multibillion-dollar asset manager, and they have ambitious goals for the future.
Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data.
Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions.
Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
Build and scale advanced models in Python for forecasting, price elasticity, and channel optimization.
Structure and govern data infrastructure in a greenfield environment, focusing on data cleaning and communication.
Translate complex analytical results into clear business narratives and decisions for both executives and technical teams.
WD-40 Company is a well-established manufacturer and marketer of maintenance products, lubricants, and cleaners. With a 70-year-old brand, the company offers stability and a collaborative, low-ego team culture.
Research and experiment with multifamily datasets to identify opportunities for new product features and pricing insights.
Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ's revenue management products.
Translate revenue management workflows into scalable tools and features — you should be able to sit in a pricing call and immediately understand what the revenue manager is trying to solve.
ApartmentIQ is a profitable, growth-stage company building martech and data products for the PropTech space. They operate on a no a**holes policy and have built a community of high performers, with a fully remote team of 100+ spread across the U.S.
Build and maintain software and data pipelines in support of contract management and AI-assisted workflows
Work cross-functionally with Product, Engineering, and subject matter experts to conceptualize, prototype, and build data solutions
Contribute to data capabilities around contract modeling, automated pricing, and payer policy intelligence
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. It is a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership with over 300 enterprise organizations as clients.
Manage and guide data teams to execute on enterprise data strategy.
Provide technical guidance and mentor team members on data technologies.
Design end-to-end data processing for enterprise data warehousing.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Develop and maintain commercial dashboards and reporting solutions to support Sales, Marketing, and Market Access teams
Translate business questions into structured analytical approaches and deliver actionable insights using claims, CRM, and other commercial datasets
Build and optimize data queries (SQL) and datasets to support reporting, analytics, and ongoing business needs
Definium Therapeutics, formerly known as Mind Medicine, is a clinical stage biopharmaceutical company developing novel product candidates to treat brain health disorders. They are expanding their presence and global footprint and searching for high-impact individuals in various clinical, technical, and business operations domains.
Partner with Marketing to define and solve problems, translating needs into analytical approaches that drive performance.
Design and deliver data-driven solutions using statistical analysis and machine learning to address business needs.
Lead experimentation and optimization, developing and managing testing frameworks across channels and markets.
BECU is a financial institution with 1.5 million members and over $30 billion in assets. It is a purpose-driven organization where your work makes a real difference, focusing on people, not profits.
Design, build, deploy, and monitor ML models that determine customer approval, credit amounts, default prediction, and loss forecasting.
Lead feature engineering and data preparation to ensure model accuracy and integrity, while staying at the forefront of ML research and innovation.
Ensure compliance with regulatory standards, maintain model documentation, and collaborate cross-functionally to integrate solutions into the risk management framework.
Kafene is revolutionizing the lease-to-own space by making flexible lease-to-own accessible to everyone using cutting-edge AI and machine learning. The 150-person team thrives on a culture of collaboration, innovation, and support, recognized as a Startup to Watch by Built In and one of the Best Startup Employers by Forbes.
Analyze diverse, large alternative datasets for insights and signal.
Develop and apply data normalization methods to correct for biases.
Design and build scalable data products with cross-functional teams.
Consumer Edge is a leading provider of consumer data for hedge funds, venture capital, private equity firms, and corporations in the United States and Europe. They equip clients with actionable consumer, competitive, and market insights to drive informed investment and strategic decisions.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.
Own Junction’s highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.
Define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.
Set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. They are backed by Creandum, Point Nine, 20VC, YC, and leading angels and working to solve making healthcare personalized, proactive, and affordable.