Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
About the role
- Product Owner for machine learning at beqom, a B2B SaaS improving employee compensation fairness. Collaborate with data scientists to transform complex data into user-friendly insights.
Responsibilities
- Execute and deliver on the roadmap for features focused on machine learning and analytics across all beqom applications.
- Translate complex analytical concepts and statistical outputs into intuitive user interfaces and clear actionable insights for non-technical users.
- Write clear and concise product requirements, user stories, specifications, and acceptance criteria (Jira is your friend!).
- Collaborate closely with engineering and design teams throughout the development lifecycle to ensure features are built to specification and meet user needs.
- Manage the product backlog, prioritize features, and make trade-off decisions based on user value, business goals, and technical feasibility.
- Define and analyze key product metrics to measure success, inform future iterations, and demonstrate value.
- Work with the Product Manager and clients to prioritize what makes sense for our SaaS offering given the broader context.
Requirements
- Bachelor's or Master’s degree in a scientific, technical, or quantitative field (e.g., Hard sciences, Computer Science, Engineering, Finance, Economics, Statistics).
- A minimum of 5 years of experience in a Product Management or Product Owner role with a focus on data, reporting, analytics and/or statistics.
- Experience with statistical modelling.
- Experience developing functionality with ML and Gen-AI.
- Proven track record of defining product requirements and owning a product roadmap within an engineering team.
- Experience in a client-facing role, with the ability to manage stakeholder expectations and handle challenging conversations.
- Excellent analytical and problem-solving skills.
- Experience in the HR Technology (HR Tech) space, particularly with compensation, analytics, or pay equity solutions (desirable, but not essential).
- Experience with data visualization tools and techniques (desirable, but not essential).
- Familiarity with usability testing and user research methodologies (desirable, but not essential).
Benefits
- Your career, your design.
- Unleash your ambition in our dynamic, autonomous environment.
- Drive meaningful change.
- Build a fairer future for every employee by joining a market leader that is improving the world of work.
- Belong to something bigger.
- Collaborate with a passionate, diverse and talented team around the globe.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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