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Data Analyst

Somerville, MA
ML
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At Laminar, we're leading the charge in physical AI, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, PepsiCo, Danone, T. Marzetti, and more. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0.

Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future.


As our company scales, we're in search of a full-time Data Analyst to join our expanding team. As a Data Analyst, you will work directly with customers on high-impact immediate problems – interpreting, explaining, and ultimately bringing life to their data. Based on your analysis, you will use H2Ok’s ML platform to build machine learning models that drive value for our customers, saving them time, water, and energy. Your responsibilities will look similar to those of a hands-on AI startup CTO where you will work cross-functionally in sales, customer success, and product delivery to own the delivery of high-impact projects to global clients. The ideal candidate is an excellent critical thinker, a clear and engaging communicator, and knows how to not only explain data, but how to tell a compelling story. Having a background in chemical engineering, process engineering, mechanical engineering, or computer science is a plus. 

What You Will Do

    • Analyze data from some of the largest factories in the world to identify process inefficiencies, anomalies, and areas of potential optimization.
    • Interpret, explain, and shed light on complex data through engaging presentations and live demonstrations to customers and internal stakeholders. 
    • Use H2Ok’s ML platform to train, evaluate, and deploy machine learning models to unlock additional factory uptime and deliver time, energy, and water savings. 
    • Apply critical thinking and first principles knowledge to solve challenging, real-world problems in factories, breweries, food & beverage facilities, and more. 
    • Collaborate with data scientists, software engineers, and customer stakeholders to ensure models are performant, reliable, and aligned with customer needs.

About You

    • Fluent in analyzing, understanding, and communicating about data, especially time-series data or sensor data. 
    • Willing to work directly with customers to explain model results, data analysis, and conclusions from data in a clear, engaging, and succinct way. 
    • Skilled in data storytelling and visualization.
    • Can create engaging, colorful visualizations for customers that bring data to life and provide insight. 
    • Experienced with presenting data and communicating results to both technical and non-technical audiences. 
    • Experienced with Python, including numerical libraries (such as NumPy and Pandas) and familiar with at least one ML framework (such as Scikit-Learn, PyTorch, TensorFlow, JAX).
    • Familiar training, fine-tuning, and evaluating performance of machine learning models. Familiar with SQL or similar database systems (such as MySQL, PostgreSQL, MongoDB).
    • Experienced with Git or other version control systems.
    • Analytical thinker with the ability to solve complex problems efficiently.
    • Excellent communication skills to articulate technical issues, solutions, and progress effectively.
    • Adaptability to learn new technologies and adapt to evolving project requirements.
    • Strong team player mindset, comfortable sharing knowledge and collaborating within a team environment.
    • Familiarity with industrial processes and manufacturing industries such as chemicals, pharmaceuticals, food and beverage, CPG, brewing, dairy, and industrial controls (PLC/SCADA/DCS) is a strong plus.

Benefits

    • Direct impact on product and culture.
    • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more.
    • 401k plan with employer matching
    • Equity
    • Competitive salary and bonus opportunities.
    • Dynamic and inclusive work environment.
    • Opportunities for growth and professional development.
    • Access to Greentown Labs' extensive network of cleantech startups.

Learn How We Think

Why Laminar?

Why You'll Love it Here

  • A front-row seat at Greentown Labs, North America's largest cleantech innovation hub, in a Somerville neighborhood ranked one of the coolest in the world

  • Real recognition: 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, Innovator Awards by both Coca-Cola and ABInBev, and more

  • A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events

  • Competitive salary, equity, and a 401(k) with company match

  • Health, dental, and vision coverage, plus short- and long-term disability and life insurance

  • Flexible time off and 12 company-paid holidays

  • A conference and learning budget to keep growing your craft

  • Greentown Labs membership and a transportation benefit for your commute


Our Interview Process
1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)
2. Intro call with Hiring Manager (30 minutes)
3. On-site interview, including short tour of GTL, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually.
4. Finalists for Full-Time positions will have a Founder’s Interview in-person
 
Final steps:
Two professional references are requested, ideally one from your current organization and one who served as your Manager
If an Offer Letter is extended, a Background check is conducted
 
recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Laminar (formerly H2Ok) is committed to building a diverse and inclusive team. So, to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that’s transforming the industrial sector and advancing sustainability, we want to hear from you!
 
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