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.
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.
Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
Build predictive models, AI tools, and data visualizations to support product design and automate processes.
Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.
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.
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.
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.
Build and deploy machine learning models to detect and respond to fraud across the platform.
Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.
Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.
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.
Translate business needs into advanced analytics solutions.
Design and develop predictive models using Machine Learning techniques.
Lead task prioritization for the data team.
Redbee, a technology company with over 14 years of experience, specializes in redefining digital products for the financial industry. They co-create innovative solutions with clients, focusing on quality and scalability, and have a culture of fast value delivery and agility.
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.
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.
Design, build, and maintain interactive dashboards and business intelligence reports using modern visualization tools.
Analyze operational, sales, recruiting, and financial data to uncover trends, opportunities, and performance insights.
Develop scalable reporting systems, data models, and KPI frameworks to support business growth.
The company is a partner of Jobgether, focused on data-driven business solutions. It offers a collaborative, fast-paced environment with a focus on innovation and continuous improvement.
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.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
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.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
Boosted.ai builds AI for finance to optimize investing and boost productivity. They are a rapidly scaling company trusted by enterprises with over $5 trillion under management, backed by top investors, and have a collaborative, low-ego culture.
Develop production-ready analytics that support smarter energy decisions, improve grid reliability, and accelerate the transition toward a more sustainable future.
Lead the design, development, and refinement of statistical and machine learning models for load forecasting, flexibility analysis, customer behavior modeling, and energy resource optimization.
Analyze large-scale datasets including smart meter data, customer information, grid attributes, and external factors to identify patterns and support strategic decision-making.
Our partner company offers the opportunity to apply advanced data science, machine learning, and AI techniques to solve complex challenges in the energy sector. You will work with one of the largest energy datasets available, combining large-scale meter data, weather information, geospatial context, and grid attributes.
Architect, deploy, and optimize machine learning models for production environments, including search, recommendation, and conversational AI.
Design experiments and analyze large datasets to validate hypotheses and improve product performance.
Collaborate cross-functionally with product managers, engineers, and ML specialists to deliver impactful AI-driven solutions.
This role is listed by Jobgether, a company that uses AI-powered matching to connect candidates with hiring employers. They operate in a remote-first model with a high-performance, collaborative environment, offering opportunities to work alongside top technology professionals.