Senior Software Engineer, Data Science

This role will be based in Mountain View CA.

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.

LinkedIns 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 LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. 

We are looking for a talented and driven Sr Software Engineer Data Science to help build data applications platforms and engineering foundations that enable LinkedIns Data Science organization to move faster and make better this role you will work closely with data science product engineering marketing sales and operations partners to translate business and analytical needs into reliable data products reusable tools and scalable data systems. You will contribute to both application development and data engineering efforts including building self-serve tools diagnostic workflows data pipelines curated datasets metrics foundations and integrations with LinkedIns AI-powered data stack. Successful candidates will bring strong SQL and programming skills practical software engineering judgment and a passion for creating dependable data products that improve how teams discover understand and act on data. 

Responsibilities: 

 Designs and builds the architecture of both front-end and back-end for novel data applications aligned to open-ended or complex business problems/opportunities. 

 Develop and build methodologies platforms and tooling that support experimentation causal inference measurement and diagnostics for complex product and business questions 

 Designs builds and customizes reusable tools frameworks dashboards APIs and integrations that make data applications and engineering solutions easier to adopt operate and extend across teams. 

 Conceptualizes defines and socializes foundational metrics to set organizational goals and scale with AI to democratize data-driven decision-making. 

 Leverages LinkedIns AI-enabled data stack and AI tools to accelerate discovery design development testing documentation maintenance and iteration of data products applications and pipelines. 

 Uses domain knowledge to evaluate design tradeoffs identify risks and communicate technical plans progress dependencies and recommendations to cross-functional partners so data applications pipelines and tooling remain useful reliable and aligned to business needs. 

 Identifies gaps in existing data applications tools workflows datasets and pipelines then proposes and implements improvements that reduce manual work improve reliability and increase reuse across projects. 

 Applies data science and software engineering best practices across the lifecycle of data applications and data engineering solutions and participates in code data model pipeline and design reviews providing constructive feedback and technical guidance to peers that improves maintainability scalability data quality and user experience. 

 Support monitor and continuously improve operational excellence practices for data applications and platforms including reliability observability incident response scalability privacy and production readiness.

Qualifications :

Basic Qualifications:

    Bachelors 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 with SQL/Relational databases

    Background in at least one programming languages (e.g. R Python Java Scala PHP JavaScript)

Preferred Qualifications 

• Masters Degree in Computer Science Data Science Software Engineering Statistics Applied Mathematics or related field. 

Suggested Skills:

    Communication

    Decision Making

    Data Science

    Domain Knowledge and Skills

    Strategic Thinking

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $129000 to $212000. 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 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.

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No

Employment Type :

Full-time