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Photo of Liminal Insights

emoji of a pushpinEmeryville, CAemoji of a money bag130000-200000
emoji of a woman of coloremoji of a man5 people in techemoji of a woman of coloremoji of a woman 1 woman in techemoji of a woman of coloremoji of a person of color 2 people of color in tech

Our mission is to accelerate the EV transition by transforming battery manufacturing with better data and analytics.


About Liminal

Our mission is to accelerate the clean energy transition by decreasing the cost and improving the quality of battery manufacturing. We are pioneers in advanced process inspection & manufacturing intelligence solutions in the battery industry. Our EchoStat® platform uses ultrasound and data analytics to deliver unique insights that create value in battery production by speeding up time-to-market for new batteries, accelerating yield ramp for new production processes, and improving steady-state productivity.

Our Culture and Values

  • We are dedicated to building a world-class, world-positive company.
  • We work closely on a foundation of mutual trust and informed decisions.
  • We value personal growth, continuous learning, and safety.
  • We believe the most innovative teams are inclusive of and celebrate all forms of diversity.

About the Role

This is an in-person or hybrid role. As a Data Scientist, you will join a small, nimble team of engineers creating cutting-edge battery inspection equipment. You will be an integral part of analyzing the data produced with this equipment, developing a deeper understanding of the data's relationship to the battery's production history and performance, and creating tools and techniques to achieve those goals. On a typical day, you may: perform investigative analysis on experimental data; design and implement algorithms for distilling ultrasonic signals into meaningful features, and correlate those features with performance data; build analytics tools and visualizations to empower our engineers and customers; optimize, automate, and streamline our analytics pipeline, and integrate the pipeline with real-time data streams; or communicate your work to stakeholders with varied backgrounds. You value careful listening, thoughtful questions, and data-driven discussions. You are comfortable with gathering and distilling information to drive the direction of open-ended projects. The ideal candidate will approach this work with a mixture of intellectual curiosity, thoughtful creativity, and methodical rigor. The ideal candidate gets great satisfaction from seeing people do great things with their work, and above all is excited to solve hard problems that have a positive impact on the world’s clean energy future.


  • Analyze customer and in-house data to provide actionable insights
  • Develop innovative analysis techniques to drive additional value from our products
  • Build robust data and analysis pipelines to accelerate our efforts to scale our organization and product offerings.
  • Develop end-to-end machine learning solutions through the full life cycle of prototyping, testing, evaluating, deploying and maintaining
  • Build out data visualization tools to track the status of our products
  • Build predictive models relating measurements from our products to battery performance
  • Engineer features to improve our predictive model performance
  • Communicate with our engineering and business teams to help drive decisions and influence product direction.


Minimum Requirements

  • Bachelor's degree or equivalent in Science, Technology, Engineering, Mathematics (STEM) or related fields and 1+ years of work experience.
  • Practical experience working with real-world data acquired from experiments
  • Proficiency with Python and the Python data stack (Numpy, Scipy, Pandas, Scikit-learn)
  • Experience with predictive modeling (Classification, Clustering, Dimensionality Reduction)
  • Sound statistical inference skills, with the ability to communicate uncertainty
  • SQL Database proficiency (primarily through queries)
  • Strong communication skills, with a knack for conveying findings to technical and non-technical audiences visually, verbally, and/or in writing
  • Ability to extract meaning from data and draw logical and coherent conclusions
  • Must be willing to be on-site at least 2 days a week.

Nice to haves (bonus skills)

  • Experience with signal processing techniques
  • Experience deploying predictive models in production
  • Familiarity or exposure to Bayesian statistics
  • Experience with battery data
  • Physical intuition about ultrasound data
  • Has experience calibrating metrology or inspection equipment


  • Competitive compensation and benefits package, including stock options, to help you and your family build a healthy and secure future.
  • Group health benefits that provide support for employee well-being and preventative care, including comprehensive medical, dental, vision, and life insurance.
  • A retirement program that helps build future financial security through both traditional and Roth 401(k) options with employer matching.
  • Flexible working hours and hybrid working model so you can be productive when and how is best for you.
  • Generous time-off policy to allow you to renew and refresh through vacation, personal leave, and holidays.
  • For new parents, 8 weeks of fully-paid parental leave that you can take at any point during the first year.

Liminal is an equal opportunity employer. We celebrate all forms of diversity, and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, please apply if this job excites you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.


  • We will reach out for a phone screen.
  • You will then speak with 1 or 2 people from the tech team.
  • After that, we will give you a short take-home functional assessment
  • You come then on-site to discuss the functional assessment and to meet members from other functional areas as well as our leadership team


We are dedicated to building a world-class, world-positive company. We work closely on a foundation of mutual trust and informed decisions. We value personal growth, continuous learning, and safety, and believe the most innovative teams are inclusive and celebrate all forms of diversity. We value candidates who are naturally curious, passionate about their work, and love being challenged respectfully.

Apply Now
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