Senior Data Scientist

Linked In is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At Linked In, our approach to flexible work is centered on trust andoptimizedfor culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a Linked In office on select days, asdeterminedby the business needs of the team.

Linked In's Data Science team turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements, and partner with PM and Engineering to ship features that create real economic opportunity for members, including the next generation of AI-powered experiences.

We'rehiring aSenior data scientist to own ambiguous, high-impact problems end-to-end.

You’lluse your strong statistical intuition andwell-honeddata science tool kit to answer open-ended problems like defining long-term retention or marketplace value.

You’lldefine the metrics that guide product strategy, dive deep intomarketplacesand evaluate AI-native features as they ship.

You'llwork closely with engineers and PMs to translate findings into roadmap decisions.

• Designs and performs data-driven experiments and causal analyses to test andvalidatenew product ideas or go-to-market strategies, develop ecosystem understanding, andmonitorcurrent products or systems.

• Evaluates A/B and causal tooling for discernable gaps and potentially partners with Applied Sciences teams to create A/B and causal test protocols and methods and analyze ramp performance to helpoptimizenew and/or existing features ormodels.

• Leverage AI tools in day-to-day workflows to increase productivity

• Partners with internal customers to translate business problems into data-verifiable hypotheses.

• Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) todeterminewhat drives metric relationships and create actionable insights within moderately complex product domains.

• Independently diagnoses issues andidentifiesopportunities to drive improvements within AI/LLM systems.

• Prototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, Engineering) to operationalize, build, andvalidatescalable tools/applications/solutions for use by internal customers to convert data into insights.

• Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members.

• Communicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy.

• Develops and runs predictive models for estimating the impact of initiatives onidentifiedKPIs.

• Independently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making.

• Bachelor's Degree in a quantitative discipline:
  Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.

• 3+ years of relevant industry or relevant academia experience working with large amounts of data

• Exper…