Job Information
LinkedIn Senior Staff Data Scientist- Flagship Data Science in Sunnyvale, California
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.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid (from Bay Area, New York City, Seattle/Bellevue) or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment.
Our Flagship Data Science team is seeking a Senior Staff Data Scientist to work alongside the newly formed Applied Science team focused on building inference, algorithms, and models to identify and quantify complex cause and effect in the ecosystem. You’ll be responsible for leading impactful projects to contribute to LinkedIn’s Knowledge Marketplace strategy by solving unique challenges in this space e.g. using causal inference techniques to quantify causality between input and outcome metrics, measuring content creator and viewer network impact in experimentation, quantifying the supply and demand imbalance in the knowledge marketplace.
ResponsibilitiesPartner 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 solutionsAct 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 strategyAnalyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer successDesign and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insightsDesign and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions.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 reviewsDrive org-wide impact by shaping product and business strategy through data-centric storytelling and presentationsAct as a champion for a data-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community.
Basic QualificationsB.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 Qualifications10+ years of overall experience with at least 5+ of those years leading teams technicallyExperience influencing strategy through data-centric presentationsExperience in applied statistics and statistical modeling in at least one statistical software packageExperience telling stories with data and visualization toolsExperience running platform experiments and techniques like A/B testingAbility to work with multiple stakeholders, understand the product priorities, think with the big picture and solve core problems in the most efficient wayExperience with manipulating massive-scale structured and unstructured dataProven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputsExperience mentoring other data scientists in an official or unofficial capacityExcellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narrativesDemonstrated thought leadership; experience publishing publicly visible research papers and/or speaking at conferences. MS or PhD in a quantitative discipline: Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, Engineering, etc.
Suggested Skills:•Data Science•Experimentation •Causal Inference•Scala•Python
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $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.
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
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