Staff Software Engineer

This role will be based in Sunnyvale.

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. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work with the rest of data science team and other cross function partners to work on a wide list of projects from generalized tools implementations of complex analyses prototypes of new methodologies from our Applied Research partner team or collaborations with other engineering teams to enhance products for Data Science specific will be responsible for guiding and building the applications that empower our Data Scientists. This is a unique opportunity to work end-to-end on 0 to 1 efforts as opposed to just incremental features of large established products.

Responsibilities:

Work with a team of high-performing data science professionals and cross-functional teams to identify business opportunities and build scalable data solutions.

Establish efficient design and programming patterns for engineers as well as for non-technical partners.

Build dataweb applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently.

Lead the architecture and design of both front-end and back-end for novel data applications.

Own the application development for one or more of our internal products and collaborate with other engineers data scientists and product managers to launch new products iterate on existing features and build a world-class user experience. Proactively leverage AI tools to improve team productivity.

Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.

Contribute to engineering innovations that fuel LinkedIns vision and mission.

Qualifications :

Basic Qualifications:

Bachelors Degree in a quantitative discipline: Computer Science Statistics Operations Research Informatics Engineering Applied Mathematics Economics etc.

5 years of industry experience

Preferred Qualifications:

Experience writing RESTful APIs with modern frameworks (Spring/Flask).

7 years of relevant work experience.

MS or PhD in Computer Science or related technical discipline.

Experience with data products and basic statistics.

Experience creating data visualizations and UX design.

Experience building data science or machine learning platforms.

Familiarity with source control testing frameworks and all aspects of developing in large distributed software teams.

Excellent communication skills with the ability to synthesize simplify and explain complex problems to different types of audiences.

Suggested Skills:

PythonSpring/Flask

Relational DatabasesUX Designs

Technical Leadership

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 $144000 to $235000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus stock and benefits. For additional 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.

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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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 LinkedIns 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: 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: Work :

No

Employment Type :

Full-time