LinkedIn
LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization efforts. With over 1 billion members, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers numerous opportunities for an ambitious data scientist to have an impact.
We are looking for a talented and driven individual to accelerate our efforts and contribute to our data-centric culture. The candidate should understand experimentation and/or machine learning techniques to implement from scratch and extend these techniques to specific applications like business problems. Successful candidates will demonstrate technical acumen in inference and algorithms, paired with business savviness to drive data-driven decisions.
LinkedIn’s approach to flexible work centers on trust and is optimized for culture, connection, clarity, and evolving business needs. This role is hybrid, performed both from home and from a LinkedIn office on select days, as determined by team needs.
Responsibilities
Work with a team of 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 data science research, model improvement, advanced experiments, observational causal studies to quantify cause and effect, identify opportunities, and 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 and elevate the 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 and scope projects, provide recommendations, and evangelize data-driven decisions in support of strategic goals. Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects for the team, department, and company. Provide technical guidance and mentorship to junior team members on solution design, and lead code/design reviews. Basic Qualifications
Bachelor’s Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, or similar. 3+ years of industry or relevant academic experience. Background in at least one programming language (e.g., R, Python, Java, Ruby, Scala/Spark, or Perl). Experience in applied statistics and statistical modeling in at least one software package (e.g., R or Python). Preferred Qualifications
BS and 5+ years of relevant work experience, MS and 3+ years, or Ph.D. and 1+ years of relevant work/academic experience. MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, or similar. Suggested Skills
Machine Learning Research Causal Inference You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. We offer generous health and wellness programs and time away for employees at all levels. Pay range for this role is $139,000.00 to $229,000.00. Actual compensation packages are based on factors unique to each candidate, including skill set, depth of experience, certifications, and location. A different range may apply in other locations due to differences in cost of labor. The total compensation package may also include annual performance bonus, stock, benefits and/or other incentive 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 is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply, or participate in the interview, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable full participation. Examples include documents in alternate formats, interviews in accessible locations, service dog accompaniment, or a sign language interpreter. A request for accommodation will be responded to within three business days. Non-disability related requests may not receive a response. LinkedIn will not discriminate based on pay inquiries. Pay transparency information can be found at: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates: https://lnkd.in/GlobalDataPrivacyNotice Seniority level
Not Applicable Employment type
Full-time Job function
Technology, Information and Internet and IT Services and IT Consulting
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Work with a team of 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 data science research, model improvement, advanced experiments, observational causal studies to quantify cause and effect, identify opportunities, and 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 and elevate the 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 and scope projects, provide recommendations, and evangelize data-driven decisions in support of strategic goals. Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects for the team, department, and company. Provide technical guidance and mentorship to junior team members on solution design, and lead code/design reviews. Basic Qualifications
Bachelor’s Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, or similar. 3+ years of industry or relevant academic experience. Background in at least one programming language (e.g., R, Python, Java, Ruby, Scala/Spark, or Perl). Experience in applied statistics and statistical modeling in at least one software package (e.g., R or Python). Preferred Qualifications
BS and 5+ years of relevant work experience, MS and 3+ years, or Ph.D. and 1+ years of relevant work/academic experience. MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, or similar. Suggested Skills
Machine Learning Research Causal Inference You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. We offer generous health and wellness programs and time away for employees at all levels. Pay range for this role is $139,000.00 to $229,000.00. Actual compensation packages are based on factors unique to each candidate, including skill set, depth of experience, certifications, and location. A different range may apply in other locations due to differences in cost of labor. The total compensation package may also include annual performance bonus, stock, benefits and/or other incentive 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 is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply, or participate in the interview, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable full participation. Examples include documents in alternate formats, interviews in accessible locations, service dog accompaniment, or a sign language interpreter. A request for accommodation will be responded to within three business days. Non-disability related requests may not receive a response. LinkedIn will not discriminate based on pay inquiries. Pay transparency information can be found at: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates: https://lnkd.in/GlobalDataPrivacyNotice Seniority level
Not Applicable Employment type
Full-time Job function
Technology, Information and Internet and IT Services and IT Consulting
#J-18808-Ljbffr