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Data Science Associate

LinkedIn • Full-time • Omaha, NE, US • $112k - $185k / year • 4d ago

Company Description

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.

Join us to transform the way the world works.

Job Description

The role can be based in either our New York, San Francisco, Sunnyvale, or Omaha office.

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.

LinkedIn’s data teams leverage 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 1B members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data scientist to have an impact and transform their career.

We are looking for a Data Science Associate to join our team. In this role, you will work with cross-functional partners and develop advanced analysis, data foundations, and data tools to enable data-driven decision-making for the Customer Success organization.

Responsibilities:

Advanced Data Analysis: Conduct complex analyses on large datasets to uncover trends, correlations, and patterns that drive customer success strategies.
Insight Generation and Communication: Translate data findings into actionable insights for non-technical stakeholders, utilizing statistical analysis and predictive modeling to inform decision-making.
Drive recommendations, innovative solutions and guidance on complex or ambiguous analytics challenges and work with cross functional partners to align on solutions
Serve as program manager and development lead for GenAI-driven initiatives
Foundations and Pipeline Development: Write scalable and efficient SQL to encode business logic, and develop robust pipelines on the LinkedIn data stack.
Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.
Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
Cross-Functional Collaboration: Work closely with cross functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.
Project Management: Lead analytics, foundations, and BI projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.

Qualifications

Basic Qualifications:

Bachelor's degree in a technical or related field or related practical experience
4+ years of relevant industry or relevant academia experience working with large amounts of data
4+ years of experience with SQL/relational databases
4+ years experience in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
Statistical modeling project experience with regression models, tree models
Experience with data visualization and dashboard design

Preferred Qualifications:

MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering
Data pipeline development experience
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
Experience with forecasting modeling
Experience on or adjacent to a Business Intelligence team
Demonstrated ability to navigate complex data environments and provide guidance to business leaders
Self-starter, able to work independently but ask for guidance when needed
Speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences.
Nimble and comfortable with ambiguity; a track record of responding quickly to rapidly evolving opportunities.

Suggested Skills:

Advanced Analytics
Machine Learning
Data Science
Data Engineering

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $112,000 to $185,000. 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. 

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.

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 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 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.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

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 for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.