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# Data Engineer/Data Scientist

- **Company:** Roche Laboratories Inc.
- **Location:** South San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Business Software, Cluster Analysis, Data Presentation, Python (Programming Language), Machine Learning, Feature Engineering, Data Strategy, Front End Software Development
- **Published:** June 30, 2026
- **Apply:** https://www.dice.com/job-detail/c8a2f20c-86be-4b4a-bfe7-0160d1a818c6

## About the Role

Full life cycle M/L project experience resulting in M/L solutions
MS in CS, Statistics, Engineering, Math, or other quantitative field
3+years work in an enterprise environment working on M/L models as a data scientist
Experience with Python and its data science libraries
AWS or other cloud platform
Experience building models for business applications like forecasting, clustering, classification

Front-end development experience.

## Description

As a Data Scientist, you will play a critical role in shaping our data strategy and
solving complex business challenges through the innovative application of machine
learning. You will move beyond simply executing on requirements; you will be a
thought partner who seeks out opportunities, defines the right questions to ask, and
drives projects from ambiguity to impactful business outcomes.
As a Data Scientist, you will be a pivotal member of our team, responsible for, End-to-End Model Ownership: Drive the entire machine learning
lifecycle, from exploratory data analysis (EDA) and advanced feature
engineering to model training, validation, deployment, and post-launch
monitoring for performance and concept drift.
Problem Formulation: Translate ambiguous business requirements and
domain challenges into well-defined technical problems, testable
hypotheses, and robust machine learning solutions.
Rigorous Experimentation: Design, test, and validate multiple modeling
approaches to find the optimal solution, establishing clear and relevant
evaluation metrics that directly align with business goals.
Technical Implementation & Deployment: Utilize our Triple AI
SageMaker environment to efficiently train, deploy, and manage
scalable models in a production setting.
Data Storytelling & Visualization: Communicate complex model outputs
and data-driven insights through compelling storytelling and clear
visualizations, empowering business stakeholders to make informed,
data-backed decisions.
Product-Oriented Mindset: Develop a deep understanding of the
business domain and product vision, ensuring that your work is not just technically sound but also delivers tangible and measurable value to
the end-user.
Collaborative Innovation: Actively collaborate with engineers, product
managers, and business leaders, fostering a culture of shared
knowledge, open feedback, and continuous improvement.
Proactive & Agile Impact: Embody an entrepreneurial spirit and an agile
mindset, proactively identifying opportunities for impact and focusing
on delivering concrete business results and outcomes over exhaustive
documentation.


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