About Redwood Materials

Senior Data Scientist 

Essential Duties: 

Redwood Materials is looking for talented, business-minded data scientists to work on a central, cross-functional team tackling Redwood Materials’ most important joint business/engineering problems. The role requires solid skills in predictive and optimization modeling, paired with the ability and desire to own broader aspects of data science projects such as requirements gathering and project scoping, development of algorithm-based user apps, and stakeholder management. 

This is an opportunity to join during a critical growth phase and build green field software which is critical to the technical growth and scaling of the company. 

Responsibilities will Include: 

• Running predictive and prescriptive modeling-based analyses to inform operational and strategic decisions. Packaging results of these analyses concisely and professionally and presenting to stakeholders.
• Writing algorithmic code for data science-driven apps to be used by Redwood Materials business and operations teams.
• Building data science tooling for connecting with key data sources and cleaning/munging data.
• Working with users, software engineers, and data engineers to identify key issues that could be solved with predictive modeling or decision algorithms. Performing requirements gathering and stakeholder management in the development of solutions for these issues. 

Desired qualifications: 

• Master’s degree in business Analytics, Analytics, Operations Research, Data Science, Computer Science, Industrial Engineering, or equivalent practical experience.  
• Strong software architecture and coding skills. We are looking for folks capable of developing and deploying pipelines and writing clean, maintainable code, much of which will be used in production. 2 years of professional software development experience in Python, Julia, or similar preferred.
• Familiarity with AWS cloud infrastructure for data and compute pipelines
• Excellent data skills including exploratory data analysis, pipeline design, clean and efficient data munging, databases, and data lakes
• 2 years of in-depth experience working with advanced predictive or prescriptive modeling techniques such as neural nets, integer optimization, reinforcement learning, or similar
• Knowledge of Polars and/or Pandas (Polars preferred), SQL, and either optimization modeling packages or machine learning/predictive modeling packages in Python
• Excellent communication skills, ability to discover high-value problems and design solutions in conjunction with stakeholders across multiple teams
• Background in supply chain/logistics a plus 

Physical Requirements:

• Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards.
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state and local standards
• Must be able to lift and carry up to 50 lbs.
• Must be able to talk, listen and speak clearly on telephone

Working Conditions:

• Environment, such as office or outdoors.
• Exposures encountered, loud noise, or extreme heat/cold.
• Essential physical requirements, such as climbing, standing, stooping, or typing.
• Indicate if required to work weekends, nights, or be on-call as a regular part of the job.
• Travel requirements.

• Understanding of battery chemistry and/or chemical engineering principles a plus 

The position is full-time. Compensation will be commensurate with experience.

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