Digital Finance Analytics – Data Science & GenAI Lead

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

The ideal candidate blends strong finance acumen with hands-on analytics skills (SQL/Python) and experience applying machine learning/GenAI techniques to automate analysis and enhance insight generation. This is a high-impact role requiring stakeholder leadership, structured problem solving, and the ability to communicate complex findings clearly to senior leadership.

This is a hybrid position in Carlsbad, CA.

Key Responsibilities

Business Analytics Leadership & Decision Support

• Lead the development of analytics solutions supporting FP&A forecasting, scenario planning, profitability and cost drivers, performance attribution, and business decision support.
• Partner with Finance stakeholders to define problems, align success metrics, and deliver insights that influence investment, resource allocation, and operating decisions.
• Create executive-ready narratives, visuals, and recommendations—connecting analytics outputs to business outcomes.

Advanced Analytics, Modeling & GenAI Enablement

• Build and validate predictive models and analytical frameworks (e.g., forecasting models, driver-based models, segmentation, anomaly detection).
• Develop and apply GenAI/NLP solutions to accelerate finance workflows (e.g., automated variance commentary, summarization of financial drivers, search/Q&A over finance documentation and reporting content).
• Establish model performance standards (backtesting, accuracy/error metrics, stability monitoring) and ensure results are interpretable and decision-relevant.

Data, Automation & Scalable Reporting

• Design curated datasets and repeatable pipelines that integrate finance and operational data for analysis (actuals, forecast, budget, drivers, and relevant external signals).
• Improve reporting efficiency through automation and reusable analytical components, enabling self-service insights and consistent definitions.
• Ensure data quality, documentation, lineage, and governance aligned to Finance expectations (controls, auditability, repeatability).

Cross-Functional Partnership & Capability Building

• Collaborate with Pricing to quantify price realization, elasticity and trade-offs, and evaluate pricing actions that improve margin outcomes.
• Partner with Commercial teams to understand pipeline and demand drivers, segment/customer performance, and growth opportunities tied to leading indicators.
• Work with Operations and Supply Chain to model cost-to-serve, productivity, inventory/working capital drivers, and operational scenarios.
• Coordinate with Marketing to measure campaign effectiveness, funnel conversion, and ROI impact on revenue and forecast drivers.
• Collaborate with data engineering/platform teams to productionize analytics where needed, ensuring reliability, controls, and appropriate monitoring.
• Contribute to best practices, templates, and playbooks for finance analytics and GenAI usage; support upskilling through documentation, office hours, and knowledge sharing.

Tools & Platforms (Positioned as enablers)

• Analytics/BI: Power BI (preferred)
• Data & Compute: Databricks and/or cloud data platforms
• Programming: SQL and Python (required); Spark a plus
• ML/AI: scikit-learn; exposure to GenAI/LLM tooling (e.g., OpenAI/LLM SDKs, LangChain/LangGraph)
• Collaboration/Versioning: Git/GitHub, CI/CD, Agile Scrum

Education & Experience

• Bachelor’s degree required in a quantitative discipline (Finance, Economics, Statistics, Analytics, Data Science, or related); Master’s preferred.
• 5+ years experience in Finance, FP&A, or Finance Analytics with demonstrated advanced analytics/modeling experience.
• Proven track record partnering with senior stakeholders and delivering analytics that impacts financial outcomes.

Knowledge, Skills & Abilities

• Strong finance fundamentals (forecasting, budgeting, variance analysis, profitability drivers, KPIs).
• Advanced analytical capability: SQL/Python, statistical analysis, modeling, and data visualization.
• Experience applying ML techniques to business problems; ability to evaluate models using practical metrics and explain results.
• Familiarity with GenAI concepts and responsible use in business workflows (prompting, evaluation, governance considerations).
• Excellent communication skills and ability to influence in a matrixed environment; comfortable translating ambiguity into structured deliverables.

Compensation and Benefits

The salary range estimated for this position based in California is $103,100.00–$154,700.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs

• Employee assistance and family support programs, including commuter benefits and tuition reimbursement

• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards