Source Job

• Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
• Build predictive and inferential models to improve product and operational decisions.
• Partner with Product, Engineering, and Operations to define metrics and drive insights.

Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.

• 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.

• 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, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
• Own the full ML workflow from problem framing to production deployment and monitoring.
• Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.

OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.

• Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
• Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
• Develop and test applications for analytics pipelines and support digital analytics implementations.

Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.

• Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
• Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
• Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.

Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.

• Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
• Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
• Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.

WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.

• Build and maintain data pipelines for analytics, ML, and product applications.
• Design scalable data infrastructure with a focus on quality and observability.
• Collaborate with cross-functional teams to understand data needs and implement solutions.

Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.

• Build statistical models and machine learning solutions to surface trends and benchmarks from employee relations case data.
• Apply NLP and text analytics to extract structure from unstructured case notes and improve anonymization pipelines.
• Collaborate with Product and Engineering to translate analytical findings into product decisions and customer-facing insights.

HR Acuity provides employee relations case management and investigation software, helping organizations standardize workplace issue reporting. They are a fast-growing, innovative company with a female founder CEO and an inclusive culture.

• Own data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
• Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
• Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.

YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.

• 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.

• Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
• Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
• Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.

Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.

• Lead the design, implementation, and deployment of machine learning and deep learning algorithms.
• Apply data mining and statistical analysis to build high-quality predictive models and understand user interactions.
• Collaborate with product and engineering teams to deliver analytical interfaces supporting business strategy.

This company is an AI-driven startup optimizing healthcare operations through artificial intelligence, network science, and advanced optimization algorithms. It is a small organization focused on improving planning, scheduling, and efficiency for healthcare providers.

• Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
• Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
• Partner with engineering teams to operationalize MLOps practices and productionize models.

Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.

• Drive data science initiatives with ML models for predictive maintenance, anomaly detection, and root cause analysis in manufacturing.
• Build scalable cloud data pipelines for high-volume IoT data using Spark, Kafka, Airflow, and Delta Lake.
• Apply statistical methods (time series, regression, clustering) and design experiments to validate process changes and quantify business impact.

Nagarro is a Digital Product Engineering company that builds products, services, and experiences. With over 17,000 experts across 39 countries, they foster a dynamic, non-hierarchical work culture and are scaling rapidly.

• Run end-to-end forecasting analyses on real business problems, from data preparation through modelling to actionable recommendations.
• Build and evaluate time series and machine learning models, validating them through rigorous testing.
• Write clean code, participate in code reviews, and take ownership of tasks from estimation to delivery.

InPost Group is an innovative European out of home deliveries company revolutionizing parcel delivery through intelligent lockers. It is a publicly traded company with a market capitalization of about $5 billion and over 10,000 employees worldwide, committed to sustainable and efficient delivery solutions.

• Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
• Design features, build tools, and deploy models in production environments to improve performance and stability.
• Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.

Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.

• 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.

• Identify and own challenging problems, form testable hypotheses, and drive significant business impact.
• Lead the design and analysis of experiments or development of causal and predictive models to test your ideas.
• Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams.

Yelp operates a platform connecting users with local businesses through user-contributed content. As a large company with millions of users and listings, it fosters a cooperative culture that values individual authenticity and encourages creative solutions.

• Build scalable Python-based data pipelines and backend services for analytics workflows.
• Design software systems using object-oriented programming and sound engineering practices.
• Create and support platforms for analytics development, model training, and model deployment.

Experian is a global data and technology company that powers opportunities for people and businesses worldwide across markets like financial services, healthcare, and automotive. With a team of 25,200 people in 32 countries, Experian invests in advanced technologies and its people to unlock the power of data.