Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.
Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.
Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
Research and develop new methods and tools to improve the business and present results to leadership.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.
Design and implement advanced data models, algorithms, and analytical solutions to address complex business challenges.
Analyze large and diverse datasets to identify trends, correlations, patterns, and opportunities for improvement.
Develop, test, and deploy machine learning models and statistical techniques to enhance predictive capabilities.
Our partner is a global, innovation-focused company in the healthcare and technology sector. They offer a remote working environment and seek to improve analytical capabilities and operational excellence.
Assist in collecting, cleaning, processing, and analyzing structured and unstructured datasets.
Develop and maintain data models, algorithms, and analytical solutions under guidance.
Apply statistical methods and machine learning techniques to solve business problems.
The company works on innovative digital products and technology-driven projects. It has a collaborative, global work environment with exposure to diverse teams and perspectives.
Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
Partner with client stakeholders to develop data-driven strategies and present findings to executives.
Mentor team members and influence data governance and best practices within the organization.
Excella is a transformative technology firm that helps organizations unlock new possibilities. They are committed to developing talent and providing opportunities for career growth at every stage, with a collaborative team dedicated to solving complex problems.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Build predictive models using statistical and machine learning techniques to identify member behaviors and opportunities.
Design and lead controlled experiments and A/B tests to evaluate strategies and ensure statistical rigor.
Translate complex data into clear insights through visualizations, dashboards, and presentations for cross-functional teams.
BECU is a member-owned credit union with 1.5 million members and over $30 billion in managed assets, rooted in a 'people helping people' philosophy since 1935. With over 90 years of history and a focus on purpose-driven work, they employ a large team and prioritize community, collaboration, and growth.
Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
Build, maintain, and improve decision systems and predictive models key to competitive advantage.
Explore new data sources, design experiments, and prototype solutions using cutting-edge technologies.
Identify and implement advanced analytics methods as part of a collegial data science team.
Purchasing Power is a leading employee purchase program that helps people buy products through payroll deduction, part of PROG Holdings (NYSE: PRG), a FinTech holding company. We're an entrepreneurial, high-ownership team building data-driven products, moving fast with data-grounded decisions.
Leverage advanced analytics, machine learning, and large-scale data to design innovative risk solutions and tackle complex fraud challenges.
Work closely with clients and cross-functional teams to optimize decision-making and improve product performance.
Drive a data-first culture by promoting analytical thinking and data-driven decision-making across teams and client engagements.
Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.
Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.
You will perform accurate data operations and ensure reliable data pipelines for programmatic datasets.
You will apply rigorous attention to detail and analytical thinking to validate data integrity and drive insights.
You will collaborate with cross-functional teams to support operational improvements and ad-hoc analytical requests.
QuestBridge connects high-achieving students from low-income backgrounds with educational, career, and life opportunities. Founded over 30 years ago, it is a nonprofit organization with a mission-driven culture.
Lead complex data science projects to measure impact and improve government services.
Apply AI/ML techniques and generative AI to enhance product delivery.
Collaborate cross-functionally to translate data insights into actionable improvements.
Code for America uses technology to improve government services for all people. They are a nonprofit with a collaborative, cross-functional team dedicated to transparency and fairness.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Partner with business leaders to identify opportunities and develop analytical strategies.
Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
Translate complex data findings into clear business recommendations and drive experimentation.
This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.
Partner with cross-functional teams to drive data-driven decisions across product, operations, and business.
Design and analyze experiments, develop predictive models, and build dashboards and reports.
Use advanced SQL, Python, and statistical techniques to extract insights from large datasets.
ecoATM is a technology company and pioneer of device re-commerce, operating automated kiosks and online marketplace Gazelle.com to enable mobile device re-use. They value their employees and foster a culture of growth, impact, and collaboration.
Mines and analyzes large datasets using descriptive, predictive, and prescriptive analytics to develop insights from historical loan performance data.
Develops and refines reports working with data analytics, underwriting, and operations teams, and leverages custom score models for underwriting and pricing.
Collaborates with vendors, data science, and technology teams to ensure new strategies and models are implemented accurately and as designed.
Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.