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Director of Data Science

Liminal is focused on accelerating the clean energy transition by enhancing battery manufacturing processes through data science and analytics. They seek a Director of Data Science to lead their data science initiatives.

Skills

  • Data science for physical inspection
  • Physics-based modeling and signal processing
  • Machine learning and deep learning
  • Python and ML frameworks (e.g., TensorFlow, PyTorch)
  • Data engineering and ML tools (e.g., Spark)

Responsibilities

  • Lead and manage the data science team
  • Own the data science product and technology development roadmap
  • Conduct hands-on machine learning and data science work
  • Analyze and interpret results for internal stakeholders and customers
  • Inform hardware system and software product requirements using insights
  • Optimize ultrasound data quality through signal processing techniques
  • Engage directly with customers for problem identification and solutions

Education

  • 10+ years of experience in data science
  • Leadership or management experience in data science

Benefits

  • Annual salary of $180,000 to $260,000 plus stock options
  • Group health benefits including medical, dental, vision, and life insurance
  • Retirement program with employer matching
  • Flexible working hours
  • Generous time-off policy
  • 12 weeks fully-paid parental leave
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$220000 / YEARLY (est.)
min
max
$180000K
$260000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Director of Data Science , Liminal Insights Inc.

Are you passionate about data and its transformative power in the energy sector? Liminal Insights is on the lookout for a dynamic Director of Data Science to lead our innovative data science team in Emeryville, CA. Our mission is to drive the clean energy transition by enhancing the cost and quality of battery manufacturing, and your expertise in data science will be pivotal to this vision. In this role, you'll help shape the future of our EchoStat® platform, employing your skills in signal processing and machine learning to optimize battery manufacturing processes. You'll collaborate with talented engineers and product specialists, turning complex data insights into actionable strategies that impact our customers' operations. The ideal candidate will bring over ten years of experience in data science, with a strong foundation in physics-based modeling and analytics. You'll lead a passionate team, providing mentorship while conducting hands-on machine learning work that will refine our inspection analytics. This position requires not only technical acumen but also exceptional communication skills to convey findings to both technical and non-technical stakeholders. If you're ready to take on a leadership role with opportunities to travel and directly collaborate with clients, this job at Liminal Insights may be the perfect fit for you!

Frequently Asked Questions (FAQs) for Director of Data Science Role at Liminal Insights Inc.
What responsibilities does the Director of Data Science at Liminal Insights have?

The Director of Data Science at Liminal Insights leads and manages the data science team, drives innovation in inspection analytics, and oversees the development of data science products. They also conduct hands-on machine learning projects, ensuring that insights are communicated effectively to both internal and external stakeholders.

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What qualifications are required for the Director of Data Science position at Liminal Insights?

Candidates should have a minimum of 10 years in data science with at least 3 years in a leadership role. A strong background in areas such as physics-based modeling and signal processing is essential, as well as proficiency in machine learning frameworks like TensorFlow and PyTorch.

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What kind of company culture can I expect at Liminal Insights?

Liminal Insights prides itself on creating a world-class, inclusive culture built on trust, empathy, and curiosity. The company encourages personal growth, values diverse perspectives, and strives to create a positive impact in the clean energy sector.

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How does the Director of Data Science role interact with customers at Liminal Insights?

The Director of Data Science plays a key customer-facing role by delivering technical findings and analytics results related to battery manufacturing processes. Engaging with customers to identify their challenges and proposing data-driven solutions is a critical aspect of the role.

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What are some nice-to-have qualifications for the Director of Data Science at Liminal Insights?

While the main qualifications involve extensive experience in data science and leadership, nice-to-have attributes include familiarity with cloud platforms like AWS, MLOps practices, experience in manufacturing analytics, and a degree in fields such as Physics or materials science.

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Common Interview Questions for Director of Data Science
Can you explain your experience with machine learning in data science?

When discussing your machine learning experience, highlight specific projects where you applied machine learning algorithms, the challenges faced, and how your solutions positively impacted the outcomes. Be sure to emphasize your proficiency in relevant frameworks.

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How do you approach managing a data science team?

Share your leadership philosophy, focusing on mentorship and fostering a collaborative environment. Discuss how you encourage skill development and address challenges that arise within your team.

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What methods do you employ for physics-based modeling in your projects?

Illustrate your approach by detailing specific physics-based modeling techniques you've used. Discuss how you've integrated these methods into your data science workflows to address complex manufacturing challenges.

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Describe a time you translated complex data for a non-technical audience.

Use a specific example to demonstrate your communication skills. Emphasize how you tailored your presentation to the audience's needs, focusing on key insights that drove decision-making.

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What is your experience with signal processing techniques?

Discuss your familiarity with various signal processing techniques and how you've applied them to improve data quality in complex data sets. Provide examples of successful implementations in your previous work.

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How do you ensure your data science solutions remain aligned with business goals?

Explain your approach for maintaining close collaboration with cross-functional teams. Illustrate how you align data science objectives with business needs to create impactful solutions.

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How do you keep up with advancements in data science and machine learning?

Share strategies such as attending workshops, participating in conferences, and engaging in ongoing education. Highlight specific areas of interest and how they had a direct impact on your work.

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What are your strategies for deploying machine learning models in production?

Discuss methodologies you've utilized for deploying models effectively, including considerations for scalability, monitoring, and performance optimization once in production.

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How do you prioritize projects within your data science team?

Describe your decision-making process for project prioritization, taking into account business impact, resource availability, and alignment with your strategic goals.

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Can you provide an example of a challenging data issue you resolved?

Choose a specific instance where you tackled a complex data problem. Discuss the approach you took, the tools used, and the outcome, focusing on how it improved operations or analytics accuracy.

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Liminal is a battery manufacturing intelligence provider that combines ultrasound technology with machine learning to deliver advanced insights that empower manufacturers.

1 jobs
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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$180,000/yr - $260,000/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 12, 2025

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