Product Data Scientist

Om jobbet

Join our Team

About the Opportunity

We are an internal startup with a clear goal. We want to move beyond reporting to build data solutions and AI agents that leaders love to use.

We are looking for a Data Scientist who wants to build products. You will not just provide numbers. You will build the intelligence engines and tools that make our 7000+ leaders more competitive.

Your job is to bridge the gap between raw data and real business value. You will use Python, SQL, and AI to create solutions that are useful, appreciated, and solve actual problems for the business. You will work in an environment where you are expected to figure out the right solution, build a prototype, and make it work.

What You Will Do

Hands-on Building & AI Engineering: Design and iterate on LLM prompts, RAG pipelines, and agent workflows. You will build functional prototypes (ranging from Power BI dashboards to AI agents in Snowflake Cortex) to validate feasibility before scaling.

Product Discovery & Fit: Partner directly with the Head of People Analytics to identify high-impact problems. You will talk to users to validate hypotheses and prioritize the features that deliver measurable business value, ensuring we solve real problems rather than just building technology.

UX & Experimentation: Sketch user flows and define success metrics for MVPs (Minimum Viable Products). You will run pilots, track usage patterns, and iterate the product based on real-world behavior and feedback.

Governance & AI Ethics: Be the guardian of Responsible AI within the build process. You will ensure our agents and workflows adhere to privacy standards by designing robust testing protocols to catch failure modes early.

Data Modeling & Automation: Write complex SQL queries and Python scripts to power the data layer of our products. You will ensure the data feeding our AI models is clean, reliable, and optimized for consumption.

The Skills You Bring

• Expertise in the core data stack, specifically SQL and modern visualization tools such as Power BI, Tableau, or similar, with the ability to model complex datasets.
• Strong practical skills in Python for automation, data manipulation (Pandas), and exploratory analysis (Jupyter notebooks).
• Applied literacy in AI and LLMs, including an understanding of prompt engineering, RAG mechanics, and agent configuration (e.g., Snowflake Cortex).
• A "bias for action" mindset. You prefer shipping a rough prototype today over waiting for a perfect spec next week.
• Comfort with ambiguity and a product-thinking approach. You view failure as data collection and always ask "Why?" before "How?"
• Ability to communicate complex technical concepts into clear business value for HR stakeholders.

Why join Ericsson?

At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city:Sweden (SE) || Stockholm

Req ID:778660