Lead the design, development, and deployment of ML models that predict and influence customer behavior.
Build behavioral segmentation frameworks, uplift models, and propensity scoring used across product, lifecycle marketing, and account strategy.
Drive insights for core product areas using a mix of causal inference, predictive modeling, and experimentation.
NextRoll is a marketing technology company empowering businesses to drive sustainable growth and trusted audience connections. It is a privately held company headquartered in San Francisco, committed to diverse teams and an equal opportunity employer.
Design, build, and deploy predictive models that improve learner outcomes and product performance.
Develop, own, and continuously improve end-to-end data science workflows.
Partner closely with product, engineering, research, and leadership to translate ambiguous questions into data science solutions
CareerVillage is a fast-scaling tech nonprofit at the intersection of education, equity, and technology. They believe everyone deserves access to high-quality career guidance and have built an AI-powered career navigation tool. Their flagship crowdsourcing platform supports millions of learners.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.
Complete exploratory data analysis and hypothesis testing.
Translate ambiguous business problems into clearly defined modeling challenges.
Design, build, and validate statistical, predictive, and machine learning models.
Buyers Edge Platform is revolutionizing the food service industry through technology, purchasing power and partnerships. They are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume.
Design, build, and implement mathematical models to drive key long-term product goals.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods.
Use quantitative analysis to deeply understand what our users are saying, and develop recommendations based on that analysis.
The Athletic brings sports fans the most comprehensive stories about the teams, sports, and athletes they love, powered by one of the largest global newsrooms in sports media. Their newsroom of 450+ full-time staff delivers in-depth coverage across North American markets and English Premier League, as well as many Championship clubs.
Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
Analyze large datasets to generate actionable insights and improve product performance
Build and maintain scalable data pipelines using big data tools and frameworks
Sigma Software brings together talented professionals to deliver high-load, data-driven platforms for global clients. They value expertise, listen to their employees' voices, and empower career growth.
Support analytical projects to identify business opportunities and develop solutions.
Use data, statistical models, and machine learning techniques.
Collaborate with software engineers, data analysts, and product leaders.
Mercury is committed to helping people reduce risk and overcome unexpected events. They are guided by the purpose to help others, encourage growth, and work together to create great things.
Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation.
Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers.
Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
Oura's mission is to empower every person to own their inner potential. Their award-winning products help their global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. They have offices in San Francisco and San Diego for those who prefer hybrid or office settings and are a quickly growing company focused on helping people live healthier and happier lives so they ensure that their team members have what they need to do their best work — both in and out of the office.
Apply statistical analysis and machine learning techniques to uncover insights and build predictive models.
Investigate data trends, patterns, and anomalies, and assist in diagnosing issues.
Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
Super.com aims to help maximize the lives of both their customers and their team. They are a fast-paced, high-growth tech company that cares about its people and takes career progression seriously.
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transact with confidence. They are backed by world-class investors and have been named to the Forbes Fintech 50 list every year since 2023.
Collaborate with cross-functional teams and business units to understand and communicate Ion’s needs and goals.
Develop, improve, and maintain robust data pipelines for extracting and transforming data from log files and event streams.
Design models and algorithms to derive insights and metrics from large datasets.
Intuitive is a global leader in robotic-assisted surgery and minimally invasive care. Their technologies, like the da Vinci surgical system and Ion, have transformed how care is delivered for millions of patients worldwide. They are a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human.
Design analytical frameworks and models that inform pricing strategy.
Build and deploy production-ready ML models for price prediction.
Establish experimentation standards by designing A/B tests.
Jobgether is a company using AI-powered matching process to ensure application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides the first and only client experience platform for appointment-based, self-care businesses, empowering customers to give their clients more of the magical moments that matter most. They value diverse backgrounds and believe in equal opportunity for all.
Apply advanced analytics techniques to solve complex business problems across finance and market risk domains.
Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency.
Create insightful dashboards to monitor financial KPIs, profitability metrics, and regulatory reporting requirements.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions.
Lead discussions, present findings, and make recommendations to colleagues and management.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Own SentiLink’s real-time ML model monitoring domain.
Own our ML experimentation, model tracking, and versioning infrastructure.
Drive improvements to the model development process.
SentiLink provides identity and risk solutions for secure transactions. They are backed by investors like Craft Ventures and Andreessen Horowitz, recognized by Forbes Fintech 50, and have offices across the U.S. and India.
Develop, deploy, monitor, and maintain predictive models using Python.
Utilize expertise in Large Language Models (LLMs) for innovative solutions.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.