Senior Data Scientist Oakland, CA Office

Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster

Fictiv is a global manufacturing and supply chain company that enables organizations to scale globally across Fictiv’s four global manufacturing centers in India, Mexico, China, and the U.S. Companies use Fictiv to access high-quality production, optimize supply chain logistics, and mitigate supply chain risk—ensuring they can move from prototype to full-scale manufacturing with speed and confidence. To date, Fictiv has delivered more than 35 million commercial and prototype parts for industries such as aerospace, robotics, automotive, climate tech, and more, helping them innovate faster, free up precious resources, and drive profitable growth.

As a Senior Data Scientist, you will be a key driver in identifying and solving complex business challenges using data. You will partner with stakeholders across Operations, Supply Chain, Finance, Product, and Engineering to define problems, explore opportunities for optimization, and design data science solutions that improve efficiency, scalability, and profitability. You’ll take projects from ideation through deployment — including data exploration, feature engineering, model development, validation, and integration into production workflows.

This is a hands‑on, impact‑oriented role where you will work directly with business and technical partners to develop predictive models, optimization frameworks, and AI‑driven tools that enhance Fictiv’s core operations — from scheduling and vendor capacity management to pricing, costing, and workflow automation. You’ll also ensure that data science initiatives are built on sound statistical foundations, follow best practices, and deliver meaningful, interpretable outcomes.

In addition, you’ll collaborate with the Data Analytics Manager and the broader Data Engineering & Analytics team to scale Fictiv’s data capabilities. You’ll mentor peers, contribute to the development of shared methodologies, and help establish standards for modeling, experimentation, and data quality across the organization. Your work will directly influence Fictiv’s ability to operate more efficiently, innovate faster, and deliver value to both customers and manufacturing partners.

You will report to the Data Analytics Manager.

• Lead the scoping, planning, and delivery of high-impact data science projects that address complex business challenges across pricing, supply chain, scheduling, and manufacturing operations
• Serve as the subject matter expert on data-driven modeling and machine learning techniques
• Design, develop, and deploy predictive and prescriptive models that enable smarter decision‑making, improve forecasting accuracy, and drive automation across business workflows
• Partner with cross‑functional leaders in Operations, Finance, Product, and Engineering to identify opportunities where data science can create a measurable impact and translate those opportunities into scalable solutions
• Contribute to the standardization of data science best practices, including model governance, experimentation design, and statistical validation frameworks
• Guide the organization in applying proper statistical standards to A/B and multivariate tests, ensuring experiments are well-designed, results are accurately interpreted, and findings are reproducible and actionable
• Partner with the AI Research Group to prototype and implement AI‑driven solutions to improve workflow efficiency, including intelligent pricing systems, predictive maintenance, and process automation
• Prepare, clean, and transform complex datasets to support advanced modeling and AI initiatives, including generating synthetic, anonymized, or simulated data as needed to train or validate machine learning and reinforcement learning systems
• Collaborate with Data Engineering to ensure high-quality, reliable data pipelines and feature sets that support advanced analytics and model development
• Mentor and guide analysts and junior data scientists, helping elevate modeling rigor, data storytelling, and analytical thinking across the organization
• Work closely with product managers and…