Source Job

• 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.

• Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
• Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
• Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.

• 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.

• 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.

• Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
• Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
• Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company serves 93% of the Fortune 100 and offers a trusted portfolio of creative execution and business process consulting.

• Extract, transform, and load data using big data platforms like Palantir Foundry, leveraging Python and PySpark.
• Build low-code no-code applications for real-time readiness dashboards and automate data ingestion from legacy systems.
• Create predictive models to forecast equipment failures, personnel shortages, or budget overruns.

LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. With a focus on agility and collaboration, LMI serves defense, space, healthcare, and energy sectors, delivering impactful results.

• Design, build, and scale cloud-based data platforms that support critical business insights and operations.
• Collaborate with cross-functional teams to extract, load, and transform data using cloud-native principles.
• Mentor engineers and drive architectural direction through code reviews, testing, and documentation.

Credit Acceptance is a leading used car finance company in the United States. It has a world-class culture shaped by dedicated Team Members and a shared drive to succeed.

• 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.

• Lead complex analytical, predictive, and applied AI workstreams with high independence.
• Define data science approaches and modeling strategies for high-value business problems.
• Mentor junior practitioners and improve delivery quality through best practices.

Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. With a global, borderless team and a culture fostering creativity and autonomy, they partner with leading companies like L'Oréal and Audi.

• 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.

• Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning.
• Implement Agile methodologies, including sprint-based development and quarterly cost reviews.
• Integrate customer feedback and document model performance and operational impact.

SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions to enable national security missions worldwide, with a focus on government clients.

• Conduct in-depth analysis to shape product-led growth and B2B strategy.
• Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
• Collaborate with product and engineering teams to drive experimentation culture and practices.

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

• 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.

• Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
• Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
• Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.

Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.

• 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.

• Lead development and deployment of machine learning models, statistical analyses, and data experiments for predictive maintenance and logistics optimization.
• Oversee data collection, ETL pipelines, and exploratory data analysis to drive product development.
• Collaborate with multi-functional teams in an Agile environment to integrate models into applications and monitor performance.

Redhorse Corporation delivers data insights and technology solutions to customers with missions critical to U.S. national interests. The company is a solution-driven firm seeking thoughtful, skilled professionals who thrive as trusted partners in a collaborative culture.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• 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.

• Lead technical direction of the data team, designing scalable data architectures for batch and streaming processing.
• Translate business requirements into efficient data solutions and collaborate with CRM and Martech teams.
• Mentor engineers and define data governance, quality, security, and observability standards.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company uses automated processes to review applications and share top-fitting candidates directly with employers.

• Lead the strategic vision and execution of a unified data organization spanning Data Engineering, Data Science, AI, and Business Intelligence.
• Shape scalable data platforms, drive AI innovation, and build high-performing teams that transform complex data into measurable business value.
• Define technical roadmaps, establish best practices, and collaborate with senior stakeholders to support business growth.

Our partner is a company looking for a Head of Data & AI based in Germany. The size and culture are not specified, but the role is in a fast-paced, innovation-driven environment with a focus on data and AI.