Staff Data Scientist
Mountain View, CA, United States · Staff+ · Contract
Sponsorship not specified$144k-$236kDetected 1 day ago
PythonScalaGitSQLLinuxMachine LearningData ScienceData VisualizationStatisticsA/B TestingResearchCommunicationMentoring
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odds of building a lasting career here
37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.
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About the role
- With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
- We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture.
- Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions.
Responsibilities
- Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company.
- 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.
- 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 presentations.
- Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy.
- 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. 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.
- Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Requirements
- Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
- 5+ years of relevant work experience.
- Experience influencing strategy through data-centric presentations.
- Experience in SQL.
- 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
Nice to have
- 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.
- Working knowledge of Unix command-line/shell, git and review board.
- Experience leveraging government data or publicly available third-party APIs.
- 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.
- Suggested Skills:
Skills
- Python
- Statistical Analysis
- Data Storytelling
- Data Interpretation
- LinkedIn is committed to fair and equitable compensation practices.
- This may be different in other locations due to differences in the cost of labor.
- For more information, visit https://careers.linkedin.com/benefits.
- Equal Opportunity Statement
Compensation
- As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Benefits
- Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success.
Company info
- Suggested Skills: - SQL - Python - Statistical Analysis - Data Storytelling - Data Interpretation 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.
Equal opportunity
- 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.
- LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities.
- Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
Visa & Work Authorization
- in, 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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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.