Senior Data Scientist

LinkedIn; California; Híbrido; USD 125.000 - 205.000; Jornada completa

Descripción de la vacante

LinkedIn’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 AI-powered features that create real economic opportunity for members, including the next generation of AI-powered experiences.

Formación

• Bachelor's degree in a quantitative field (e.g., CS, Statistics, OR, Informatics, Eng, Applied Math, Economics).
• 3+ years of relevant industry or academia experience with large data.
• Experience influencing strategy through data-centric presentations.
• Experience in SQL.
• Programming in at least one language (e.g., R, Python, Scala).
• Experience in applied statistics and statistical modeling.

Responsabilidades

• Designs and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies.
• Evaluates A/B and causal tooling and analyzes ramp performance to help optimize features or models.
• 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 to determine drivers of metric relationships and provide actionable insights.
• Independently diagnoses issues and identifies opportunities to improve AI/LLM systems.
• Prototype data solutions and collaborate with partners to operationalize scalable tools for insights.
• Embed data science best practices across development phases and mentor junior team members.
• Communicate scoping and findings to stakeholders to guide prioritization and strategy.
• Develops and runs predictive models for estimating impact on KPIs.
• Create data-centric stories to influence decision-making.

Conocimientos

SQL

Python

R

Scala

A/B testing

Statistics

Data storytelling

Experiment design

Educación

Bachelor's degree in a quantitative discipline

Master's or Doctorate in related field

Herramientas

SQL

Python

Descripción del empleo

LinkedIn 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 LinkedIn, 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 LinkedIn office on select days, asdeterminedby the business needs of the team.

LinkedIn'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.

Responsibilities

• 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 customersto translatebusiness 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.

Basic Qualifications

• 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

• Experience influencing strategy through data-centric presentations.

• Experience in SQL.

• Background in at least one programming language (e.g., R, Python, Scala).

• Experience in applied statistics and statistical modeling in at least one statistical software package.

• Experience telling stories with data and visualization tools.

• Experience running platform experiments and techniques like A/B testing.

Preferred Qualifications

• Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or relatedfield.

• Experience with SQL & Python, experimentation (design, analysis, variance reduction),

• Experience with causal inference methods;

• Product intuition for two-sidedmarketplaces

• Clear written communication

• Ability to understand how to measure AI-powered product experiences.

SuggestedSkills

• Communication

• Decision Making

• Data Science

• Domain Knowledge and Skills

• Strategic Thinking

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $205,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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