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.
Develop pricing and discount strategies across different products, balancing business objectives, market dynamics, and profitability.
Monitor pricing performance, analyze sales and competition, and coordinate timely adjustments with relevant teams.
Collaborate with Sales, Product, and Finance to turn complex data into clear recommendations and actionable strategies.
Our partner is a fast-growing fintech company in Brazil. They value autonomy, analytical thinking, continuous improvement, and a strong ownership mindset.
Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destinations and segments.
Develop machine learning models for demand forecasting and willingness-to-pay, taking them from exploration to production.
Design and analyse pricing experiments with statistical rigour, applying causal methods where randomisation isn't possible.
Airalo is the world's first eSIM store, helping travelers access affordable mobile data in 200+ countries. We're a team of 400+ people across 60+ countries, with a culture of trust, ownership, and freedom.
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.
Find and ship predictive signals by building student-level predictors and analyzing conversational data to improve AI.
Own AI data tooling and evaluation, including building frameworks for model assessment and maintaining in-warehouse AI configuration.
Make your work reusable by equipping internal teams with data and analysis, and document reasoning and assumptions.
Mainstay, a division of Lemnis, is a public charity dedicated to expanding learning for all through an engagement platform that helps colleges and businesses start and measure conversations. The team is growing, collaborative, and inclusive, with a focus on innovation and mentorship.
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.
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.
Develop models to optimize marketing spend allocation, channel mix, and budget pacing.
Design decision systems that turn data into repeatable, actionable recommendations.
Lead experimentation and causal measurement to improve marketing investment decisions.
Oura empowers people to own their inner potential through award-winning products that provide insights into readiness, activity, and sleep quality. As a fast-growing company focused on health, we support our team with resources to do their best work.
Lead and build a Marketing Data Science team, setting strategy and roadmap for MMM, geo-testing, and incrementality models.
Design and execute statistical analyses to quantify marketing ROI and deliver actionable insights for business objectives.
Collaborate with cross-functional teams to integrate data science into product roadmaps and executive decision-making.
Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. As a publicly traded company with a global workforce, it fosters a culture of inclusion, innovation, and flexibility.
Lead the development of research, analytics, and reporting for Evio Insights using real-world evidence to optimize medication use.
Collaborate with engineering, data, and client-facing teams to uncover insights that help patients access high-cost medications affordably.
Own the analytic lifecycle from translating ambiguous health plan problems into research questions to delivering actionable recommendations.
Evio is a pharmacy solutions company founded by health plans to transform specialty and high-cost medication management through advanced analytics and contracting. Backed by six Blue Cross Blue Shield health plans serving over 20 million members, Evio fosters a culture built on empathy, diversity, and transparency.
Own the full lifecycle of ML models for credit risk decisions, from feature engineering to production and monitoring.
Design and improve approval amount sensitivity models, credit line optimization, and loss forecasting.
Partner cross-functionally with risk, engineering, finance, and sales to shape both technical infrastructure and business strategy.
Kafene is a fintech company revolutionizing lease-to-own with AI and machine learning. With over $500 million in originations, our 175-person team operates from NYC and globally, fostering a collaborative culture recognized by Built In and Forbes.
Develop predictive models and pricing programs using advanced analytics and data science techniques.
Collaborate with cross-functional teams to translate data insights into business value and regulatory filings.
Communicate findings to non-technical audiences through clear visuals and enable data-driven decision-making.
Liberty Mutual's USRM Data Science group uses data, analytics, and technology to develop innovative solutions for their US Retail Markets business. The team fosters a high-performing culture with cross-functional collaboration and opportunities for growth.
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.
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.
Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
Develop forecasting and optimization solutions to support complex business and operational decisions.
Apply experimentation and causal inference techniques, and explore Generative AI where applicable.
Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.
Help users discover and master the Dataiku platform via training, office hours, and consultative support.
Analyze and investigate data and machine learning applications across various industries and use cases.
Mentor and educate data scientists and customer team members to aid in career development.
Dataiku is the enterprise orchestration layer for building, deploying, and governing AI. We are a global company with a culture of innovation, collaboration, and personal growth.
Develop action-oriented insights through causal analysis and experiment meta-analysis to drive product strategy.
Uplevel experimentation practices by guiding design, execution, and deep dive analyses of A/B tests.
Create new ETLs, tables, dashboards, and self-serve tools to enable seamless data access for teams.
Reddit is a community of communities where users share interests and conversations. With over 100,000 active communities and 130 million daily active users, it is one of the largest information sources on the internet.
Partnering with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans.
Designing and analyzing incrementality tests, including geo-based experiments, holdouts, matched-market tests, and other causal inference approaches.
Building, validating, and interpreting media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns.
Wpromote is a digital marketing agency that helps clients understand the impact of their marketing investments through data-driven strategies. They are recognized as a Best Place to Work by Ad Age and Glassdoor, and prioritize a strong work-life balance with a remote-first culture.
Lead strategic data initiatives including advanced statistical analysis, machine learning modeling, and generative AI solutions.
Design and implement experimentation strategies (A/B testing, causal inference) to validate hypotheses and measure product impact.
Collaborate with multidisciplinary teams to translate business problems into actionable data solutions and communicate insights clearly.
CI&T is a global technology company that combines the disruptive power of artificial intelligence with human expertise to help large companies navigate technology and business changes. With 8,000 employees across more than 25 countries, they collaborate to build solutions with real impact.