Senior Applied Scientist, Causal Inference

LinkedIn; Mountain View (CA); Hybrid; USD 139,000 - 229,000; Full time

Job summary

LinkedIn is seeking a Data Scientist to accelerate data-driven decision making and deliver insights that drive member engagement and business growth. The role blends research with hands-on modeling, experimentation, and cross-functional collaboration in a hybrid work setting.

The candidate should have 3+ years of experience, a quantitative degree, and strong skills in R/Python and statistics. This role offers a hybrid schedule and opportunities to impact a global product ecosystem.

Qualifications

• Bachelor's degree in a quantitative discipline.
• 3+ years of industry or relevant academia experience.
• Experience with at least one programming language (R, Python, Java, Ruby, Scala/Spark or Perl).
• Experience in applied statistics and statistical modeling in at least one statistical software package (R, Python).
• MS/PhD in quantitative discipline: Statistics, Operations Research, CS, Informatics, Engineering, Applied Mathematics, Economics, etc.

Responsibilities

• Work with a team of analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms to address them.
• Analyze large-scale structured and unstructured data.
• Conduct data science research, model improvement, experiments, causal studies to drive business value.
• Develop methodologies to enhance product and platform capabilities.
• Engage with partners to build, prototype and validate scalable tools end-to-end.
• Promote adoption of data science advances and mentor junior team members.

Skills

Programming (R/Python/Scala)

Statistics Modeling

Experimentation

Education

Bachelor's degree

MS/PhD in quantitative discipline

Tools

R

Python

Spark

Job description

• Full-time
• Workplace Type: Hybrid

Company Description

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works.

Job Description

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. 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 now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision‑making.

At LinkedIn, our approach to flexible work is centered on trust and optimized for 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, as determined by the business needs of the team.

Responsibilities

• Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.
• Analyze large-scale structured and unstructured data.
• Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify the cause and effect in the ecosystem, identify business opportunities and to drive member value and customer success.
• Develop methodologies to enhance LinkedIn's product and platform capabilities.
• Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights
• Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn.
• Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena.
• Initiate and drive projects to completion independently
• 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
• Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company
• Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews

Qualifications

Basic Qualifications

• Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 3+ years of industry or relevant academia experience
• Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
• Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python)

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
• MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.

Suggested Skills

• Research

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 $139,000.00 to $229,000.00 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.

Additional Information

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 is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

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Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

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