Senior Data Scientist

3 weeks ago

Sunnyvale, California, United States LinkedIn Full time
Job Description

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.

Key Responsibilities:

  • Partner with cross-functional teams to initiate, lead, and drive to completion large-scale/complex strategic projects for teams, departments, and the company via data-driven solutions.
  • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
  • Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or strategy.
  • Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success.
  • Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights.
  • Design and analyze experiments to test new product ideas or go-to-market strategies. Convert the results into actionable recommendations.
  • Engage with technology partners to build, prototype, and validate scalable tools/applications end-to-end (backend, frontend, data) for converting data to insights.
  • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
  • Drive org-wide impact by shaping product and business strategy through data-centric storytelling and presentations.
  • Act as a champion for a data-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community.

Requirements:

  • B.S. Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
  • 5+ years experience with SQL or relational database query performance, and at least one programming language (e.g., R, Python, Scala)
  • 2+ years experience in an architect or technical leadership position

Preferred Qualifications:

  • 10+ years of overall experience with at least 5+ of those years leading teams technically
  • Experience influencing strategy through data-centric presentations
  • 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
  • Ability to work with multiple stakeholders, understand the product priorities, think with the big picture, and solve core problems in the most efficient way
  • Experience with manipulating massive-scale structured and unstructured data
  • Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs
  • Experience mentoring other data scientists in an official or unofficial capacity
  • Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audience, including executives and compile compelling narratives
  • Demonstrated thought leadership; experience publishing publicly visible research papers and/or speaking at conferences.

Pay Range: $157,000 to $257,000. 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.

Equal Opportunity Statement: LinkedIn is committed to diversity in its workforce and is 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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