[Hiring] Data Scientist @Oden Technologies

Role Description

As a Data Scientist on our Customer Solutions team, you'll build the models and algorithms that turn customer manufacturing data into real answers, think predictive quality models, machine failure prediction, and pattern discovery in time-series data. Your work drives real-time solutions we deploy directly with customers, and it feeds back into Oden's core product and roadmap.

You'll dig into real-time process measurements, external context data, outcomes like quality, cost, and yield, and process knowledge from both structured and unstructured sources, drawing on data science, machine learning, and statistics to solve the problem in front of you. With an AI-first mindset, you'll also work with agentic AI models and frameworks that let customers interact with their data and results through natural language, including Oden's own Agentic Root Cause Analysis methodology, which you'll help extend.

You'll partner closely with Customer Success, Product, and customers themselves, defining problems, running trials and proofs of concept, and delivering finished work through the Oden platform. This is an end-to-end role: you'll carry projects from first concept through development and deployment, and act as the bridge between Oden's technical team and customer stakeholders.

• Work directly with Oden customers to scope data analysis and modeling needs for real manufacturing problems
• Develop and validate models, algorithms, and methods delivered through the Oden platform
• Validate results in live, real-world customer deployments
• Partner with engineering to implement and ship solutions
• Generalize one-off solutions into the next generation of product features
• Work with Product to translate customer problems into roadmap requirements
• Engage with the technical community: share results externally, stay current on the field, and help advance the state of the art

Qualifications

• 1-3 years of professional experience as a Data Scientist or ML Engineer, with a B.S. or M.S. in Statistics, Machine Learning, Computer Science, Electrical Engineering, Economics, or a related field
• Strong Python skills, including common ML and statistics libraries
• Strong SQL skills
• Familiarity with process improvement and exploratory techniques (design of experiments, optimization)
• Hands-on familiarity with generative AI models, for code development, experimentation, and generating insights for customers and end users on the Oden platform
• Comfort directing frontier AI models and AI agents as tools you steer, not magic you wait on
• A drive to own projects end-to-end, from first experiment to customer delivery

Requirements

• Compensation: We anticipate the base salary band for this role (Data Scientist) will be between $95,000 and $155,000, in addition to equity and benefits. 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.
• At this time, we cannot offer visa sponsorship. Candidates must be authorized to work in the United States without current or future employer sponsorship.

Benefits

• At Oden, we are deeply committed to ensuring that every team member is engaged in work they are passionate about and find fulfilling.
• We prioritize 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.
• 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.