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.
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.
Translate complex business problems into structured analysis.
Build low-latency data pipelines and streaming analytics solutions.
Create interactive live dashboards using leading BI platforms.
Trustonic provides affordable smartphones by offering secure smartphone locking technology. With partnerships across 30+ countries, they enable device financing solutions, driving economic inclusion, profitability, and growth. They value diversity and flexibility, encouraging employees to work where they're most productive.
Deep dive into trends and provide data driven insights to identify risky behavior.
Develop customer and program segmentation frameworks to enable proportionate monitoring.
Create dashboards to monitor performance across relevant metrics and create alerts.
Lithic creates card issuing and payment infrastructure for technology companies. They help some of the world’s fastest-growing digital banks, fintech companies, and software companies process billions in transactions annually.
Design visual analytics dashboards for security & risk insights.
Collaborate with customers and product owners to define data product requirements.
Engineer automated data pipelines and models, perform exploratory data analysis.
Jobgether is a platform that uses AI-powered matching to connect job seekers with employers. They ensure fair and objective application reviews by identifying top-fitting candidates for hiring companies, promising a quick review process.
Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud. They hire people who move fast, think critically, act like owners, and care about solving customer problems.
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.
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.
Leverage complex datasets to generate actionable insights that influence payments & fraud strategy and drive business outcomes.
Support development and testing of payment and fraud rules, using data to inform and optimize rules and analyze A/B tests.
Design, build, and maintain dashboards and reporting solutions to enable self-service analytics across the organization.
Super.com aims to maximize the lives of both customers and their team, offering an opportunity to unlock potential and realize impact. They are a fast-paced, high-growth tech company that values its people and takes career progression seriously.
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.
Conduct deep, hypothesis-driven exploratory data analysis to support discovery, research, and operational decision-making.
Design, develop, and deliver high-quality dashboards, reports, and ad-hoc analyses with fast turnaround times.
Develop complex SQL queries and conduct performance and quality checks.
Founded in 1964, New York Blood Center (NYBC) has served the tri-state area for more than 60 years, delivering 500,000 lifesaving blood products annually to 150+ hospitals, EMS and healthcare partners. NYBC is part of New York Blood Center Enterprises (NYBCe) , which spans 17+ states and delivers one million blood products to 400+ U.S. hospitals annually.
Partner with stakeholders to identify opportunities where data can inform better business decisions.
Develop predictive models and statistical analyses to support pricing, underwriting, claims, and operational initiatives.
Collaborate with engineering and product teams to deploy analytical models into production systems and operational workflows.
Attune provides data-driven insurance solutions. They are a remote-first company that values innovation and collaboration, offering employees opportunities for growth and development.
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.
Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.
Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.
Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.
Wealthsimple helps 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.
Design, develop and deploy advanced statistical or machine learning models for high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment.
Partner with cross-functional teams to integrate models into applications and proactively identify and solve problems.
Forward Financing is a financial technology company based in Boston, Massachusetts. They are on a mission to unlock the capital that fuels small businesses across America and they have team members throughout the United States, Dominican Republic, and Canada.
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.
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.
Act as a trusted business advisor to the Core Service team, proactively identifying trends and driving efficiency improvements
Own the design of dashboards, metrics, and reports, turning data into actionable insights for the fraud, funding, risk and support experience teams
Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models
Kraken is committed to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. It is a fully remote company with Krakenites in 70+ countries who speak over 50 languages.
Design, build, and deploy advanced analytical models to drive insights and decision-making across teams.
Develop predictive models for forecasting, churn, lead scoring, pipeline health, and customer lifetime value.
Translate business questions into data science problems and experimentation strategies.
Jobgether uses an AI-powered matching process to ensure your 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.
Be the primary insights liaison for the sales organization, partnering with new sales and account development teams to understand clients goals.
Build and deliver executive-level presentations that translate complex data into clear, applicable strategies.
Facilitate workshops and strategy sessions with internal and client partners to align insights with our goals.
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 corporate headquarters in Dublin, Ireland.