Fictiv · 7 hours ago
Senior Data Scientist
Oakland, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$220K/yr - $240K/yr
10+ years expFictiv is a global manufacturing and supply chain company that enables organizations to scale globally. As a Senior Data Scientist, you will identify and solve complex business challenges using data, partnering with various stakeholders to design data science solutions that enhance operational efficiency and profitability.
3D PrintingHardwareManufacturingMechanical Engineering
Responsibilities
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 engineering teams to integrate data science capabilities into Fictiv’s digital platform and operational tools
Communicate results clearly and effectively to both technical and non-technical stakeholders, providing actionable insights and recommendations that influence strategic decisions
Document modeling approaches, assumptions, and methodologies to ensure reproducibility and transparency of results
Thrive in a collaborative environment — open to feedback, discussion, and iteration in pursuit of the best solutions
Qualification
Required
M.S. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field
10+ years of experience in data science and machine learning with a proven track record of delivering measurable business impact
Hands-on experience with machine learning algorithms (e.g., regression, classification, clustering, forecasting, reinforcement learning) and model evaluation frameworks
Hands-on experience preparing and curating datasets for machine learning or AI research, including cleaning, transformation, labeling, and creation of synthetic or anonymized data for model training or simulation purposes
Demonstrated experience in experimental design, hypothesis testing, and A/B test evaluation, with a clear understanding of sampling, control groups, and significance testing in applied business contexts
Demonstrated expertise in Python (pandas, numpy, scikit-learn, etc.) and SQL, with the ability to design efficient data pipelines and feature engineering workflows
Strong background in data exploration, feature engineering, and model validation, with the ability to design experiments and evaluate model performance rigorously
Demonstrated skill in developing and operationalizing ML-driven solutions that enhance business workflows while ensuring models are interpretable and scalable
Experience working with modern data platforms such as Snowflake, Fivetran, or dbt, and integrating models into BI or operational systems (e.g., Sigma, Tableau, Power BI)
Strong understanding of data warehousing concepts, dimensional modeling, and data governance principles
Demonstrated ability to perform root cause analysis and use data-driven reasoning to identify opportunities for process improvement or risk mitigation
Demonstrated ability to translate ambiguous business problems into structured data science solutions, from hypothesis through implementation
Working knowledge of data and analytics architecture, data warehousing concepts, and data governance best practices
Proven ability to lead and coordinate cross-functional initiatives, communicating effectively with engineering, product, and business stakeholders
Ability to manage multiple projects simultaneously, operate independently, and thrive in a fast-paced, collaborative environment
Excellent leadership and collaboration skills, with experience mentoring junior data scientists or analysts and leading large, cross-functional initiatives
Passionate about learning new technologies, staying current with emerging AI methods, and applying them pragmatically to create business value
Excellent communication skills — able to present technical findings clearly to both executives and technical audiences
Ability to work effectively across time zones and communicate fluently in professional English, both written and verbal
Ability to travel and work in an office up to 50% of the time
Preferred
Ph.D. preferred
Experience developing predictive and prescriptive models for pricing, demand forecasting, workflow automation, or vendor performance optimization is highly desirable
Experience applying advanced analytics, predictive modeling, or optimization techniques within manufacturing, supply chain, logistics, or operations-focused environments is a plus
Familiarity with operations research techniques (linear programming, simulation, constraint optimization) and their application to scheduling, resource allocation, and capacity management is a plus
Company
Fictiv
Fictiv is a digital manufacturing and supply chain company that offers a digital platform for sourcing custom mechanical components.
201-500 employees
H1B Sponsorship
Fictiv has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2023 (4)
2022 (7)
2021 (11)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$192.6MKey Investors
Activate Capital Partners40 North VenturesG2 Venture Partners
2025-04-17Acquired
2022-05-05Series E· $100M
2021-02-17Series D· $35M
Leadership Team
Dave Evans
Co-Founder, CEO
Nathan Evans
CXO & Co-founder
Recent News
2025-12-02
The Leaders Globe Media
2025-11-24
Company data provided by crunchbase