Data Scientist

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

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About Oden:

Manufacturing is undergoing its fourth industrial revolution, with factory operations increasingly driven by real-time applications that combine process and context data with advanced ML and AI algorithms. This is unlocking a staggering opportunity to improve the efficiency and productivity of existing manufacturing processes. 

As a Manufacturing AI company, Oden is at the forefront of this revolution. We combine large-scale data processing architectures and advanced AI and ML algorithms within the Oden platform so manufacturing operations teams can continuously monitor, analyze, and optimize their production, across a diverse set of processes and conditions. Our goal is to maximize efficiency, sustainability, and competitiveness in the manufacturing domain - to help True Makers Make Things Better!

Why We Do It:

We like to enable True Makers - 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. 

You:

  • 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 data 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 user input, and offline measurements that describe the quality of the resulting products. This also includes knowledge about the manufacturing process ingested as text (manuals, instructions, training material) and a configured taxonomy that represents semantics of the metrics.  Problems of interest may be categorized into:

  1. Data Enrichment: leveraging Statistical, ML, and inferencing tools to automatically identify interesting patterns and properties within the data, and to use these to provide the best-in-class data and insights to our customers 

  2. Process Optimization: Developing diagnostic algorithms that support system-guided root cause analysis, and prescriptive models to identify opportunities for process improvement

  3. Live Factory Operations: Developing and deploying real-time predictive and optimization models that provide live alerts to customers about impending problems, and recommendations to operators for live process changes.

  4. Step-by-step Work Instructions: Developing novel Generative AI based applications that combine live streaming data context, predictions derived from the current state, recommendations for process optimization, and domain knowledge to generate step by step instructions for operators to achieve these recommendations. 

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.

Responsibilities:

  • 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:

  • 3-5 years professional experience as a Data Scientist or advanced quantitative degrees (M.S. or PhD. in Statistics, Data Science, Computer Science with ML focus, Economics or related fields)

  • Proficient with Python, including most common ML libraries

  • Experience with SQL and GCP is a plus.

  • Experience with designing, building and deploying performant statistical models on large data sets (bonus: experience with time series data, with real-time data analysis)

  • Experience with unstructured data and Generative AI - especially around enterprise applications

  • 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)

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.

At Oden, we are deeply committed to ensuring that every team member is engaged in work they are passionate about and find fulfilling. We prioritze your career development, offering personalized pathways for growth and advancement. Our approach is to align your strengths and interests with the company’s goals, ensuring that you not only contribute meaningfully but also progress steadily in your professional journey, reaching new heights in your career.

 

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.

 

We anticipate the base salary band for this role will be between $120,000 and $180,000, in addition to equity and benefits. This role may be hired at the Data Scientist II level ($120,000 to $150,000) or the Senior Data Scientist level ($140,000 to $180,000). The salary at offer will be determined by factors such as the candidate’s experience, knowledge, skills, and abilities, as well as internal equity among our team.