Senior Data Scientist

LinkedIn; California (MO); On-site; USD 121,000 - 198,000; Full time

Benefits offered by this job

Health and wellness programs

Performance bonus

Stock options

Job summary

LinkedIn is seeking a data scientist to partner with cross-functional teams on large-scale strategic projects, shaping product strategy through data-driven presentations and deep-dive analyses. You will analyze large-scale data, develop ML models and design dashboards to extract insights that drive member value and customer success.

The role requires a quantitative degree and 3+ years of experience, with proficiency in SQL and at least one programming language (R/Python/Scala).

Qualifications

• Bachelor's degree in a quantitative discipline.
• 3+ years of data experience.
• Experience influencing strategy through data-centric presentations.
• Experience in SQL.
• Programming language experience (R, Python, Scala).
• Experience in applied statistics and statistical modeling.
• Experience telling stories with data and visualization tools.
• Experience running platform experiments and A/B testing.

Responsibilities

• Partner with cross-functional teams on large-scale strategic projects.
• Shape product and business strategy through data-centric presentations.
• Identify business opportunities and optimize product performance or go-to-market strategy.
• Analyze large-scale data and develop deep-dive analyses and ML models.
• Design core business metrics and dashboards to track insights.
• Design and analyze experiments and convert results into actions.
• Collaborate with technology partners to build scalable data tools end-to-end.
• Mentor junior team members.

Skills

SQL

Python

Statistical Analysis

Data Storytelling

Data Interpretation

Education

Bachelor's Degree in a quantitative discipline

Tools

Unix shell

Git

Review Board

Job description

Responsibilities

• Partner with cross-functional teams to contribute towards completion of large-scale/complex strategic projects for teams, departments and the company.
• Drive 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.
• Analyze large-scale structured and unstructured data; develop deep-dive analyses 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.
• Mentor junior members of the team.

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

• BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data
• MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• Experience with manipulating massive-scale structured and unstructured data.
• Working knowledge of Unix command-line/shell, git and review board.
• Experience leveraging government data or publicly available third-party APIs.
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience.

Suggested Skills

• SQL
• Python
• Statistical Analysis
• Data Storytelling
• Data Interpretation

Benefits

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 $121,000.00 to $198,000.00. 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.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

Reasonable accommodations

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates

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.