Data Scientist

About Redwood Materials

Redwood Materials was founded in 2017 to create a circular supply chain for electric vehicles and clean energy products, making them more sustainable and driving down the cost for batteries. We’re doing this by developing and deploying new technologies to increase the scope and scale of recycled and sustainable materials in the global battery supply chain.

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:

• Bachelor's degree in business Analytics, Analytics, Operations Research, Data Science, Computer Science, Industrial Engineering


• 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


• On-the-job, internship, or research 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


• Understanding of battery chemistry and/or chemical engineering principles 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.

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

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