Data Scientist

New York, United States | Full-time | Fully remote


About Oden:

We are on the brink of the fourth industrial revolution.

Manufacturing has long been an analog world, but this is rapidly changing.  There is a staggering opportunity for improving the efficiency of current manufacturing processes, and enabling the next generation of manufacturing through the effective gathering, analysis, and productionization of data and insights. Oden is driving this revolution. 

We have combined industrial connectivity, large-scale data processing architectures, and advanced machine learning algorithms within the Oden platform so all manufacturers can monitor, analyze and optimize their production, across their diverse set of processes. Our goal is to democratize efficiency, sustainability, and competitiveness in the manufacturing domain.

Why We Do It:

We like to enable those who make things - to make more, to waste less, to serve their customers, and to thrive in a competitive world. Help enough makers, and the world can give us all the abundance we want for less cost and environmental impact. We’re on the verge of a 4th industrial revolution for everyone who makes things.


  • Care about the purpose of the product and company.
  • Are never satisfied with the way things are, but excited about the way things could be.
  • Tinker. You embrace data and different technologies and want to see how they can work together.
  • Live by transparent and scientific thinking. You put in the work to find the best ideas with those around you.
  • Empathize with customer needs and enjoy novel ways of posing and solving their problems.
  • Are happy to put on steel toe boots and hit the factory floor to work with the production manager.

The Role:

As a Data Scientist, you will be responsible for building statistical and machine learning models that improve the efficiency of manufacturing using telemetry collected from Oden’s factory cloud. This includes real-time metrics that capture various properties of the manufacturing process, context about these metrics provided from external systems and human input, and offline measurements that describe the quality of the resulting products. Problems of interest may be categorized into:

  1. Data Enrichment: leveraging statistical and ML tools to automatically identify interesting patterns and properties within the data, and to use these to provide inferences to customers 
  2. Process Optimization: Developing diagnostic algorithms that support guided root cause analysis, and prescriptive models to provide recommendations for process improvement
  3. Factory Operations: Developing and deploying real-time predictive models that can provide meaningful alerts to customers about impending problems, and recommendations for live process changes.

You will be working closely with Oden’s data and product engineers to address customer needs. You will push the envelope on how machine learning can provide value to process engineers, operators and materials scientists. This is a crucial role for Oden and requires someone who will uphold the highest standards of quality, accountability, and attention to detail.


  • Interacting with customers to understand and pose relevant data analysis problems.
  • Developing and validating models and methods that address these problems, and working with the engineering team to deploy these as solutions
  • Generalizing solutions and innovating to create the next generation of product features
  • Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art

Preferred Experience:

  • 5 years professional experience as a Data Scientist or advanced degrees (M.S. or PhD. in Statistics, Data Science, Computer Science with ML focus, or related fields)
  • Experience with Python and SQL
  • Experience with designing, building and deploying performant statistical models on large data sets (bonus: experience with time-series data, with real-time data analysis)
  • Familiarity with process improvement and exploratory techniques (e.g. design of experiments and optimization)
  • Enthusiasm to own projects end-to-end; from experimentation to customer delivery
  • Experience predictive modeling or machine learning on large datasets (bonus: experience with image data and deep learning)

Nice To Have:

  • Materials Science, Chemistry, or a related physical science expertise

What We Offer You:

  • Measurable impact to the world and the chance to help real people - family businesses, entrepreneurs, engineers.
  • Exposure to many tech disciplines, most of which are rapidly evolving.
  • A bridge between the physical and cloud worlds of tech. Our platform unites big data visualizations with sensors, M2M tech, and heavy industrial equipment.
  • A platform that has the potential to evolve beyond what we have envisioned now.
  • Scientific and transparent thinking, for everyone involved.
  • We have backing by world leaders of both industry and tech that will ensure long-term growth and development for us.

We’re an equal opportunity employer (EOE). 

Diversity at Oden means building a team that is rich across all boundaries of race, ethnicity, gender identification, sexual orientation, disability, religion, age and thinking style. We welcome all backgrounds, life experiences, and worldviews as these are the catalyst for the rapid evolution of our product and our organization. Diversity allows us to tackle new challenges, embrace change, make well-informed decisions, and ultimately Make Things Better. In alignment with our “People First” company value, Oden has a passionate internal team dedicated to the promotion of diversity and inclusion initiatives as a core component of our culture.

Our diversity initiatives apply to our practices and policies on recruiting, compensation and benefits; professional development; promotions; social activities and the ongoing development of a psychologically safe work environment.