Sr Software Engineer, Data Science

This role will be based inBangalore India. 

At LinkedIn our approach to flexible work is centred on trust andoptimizedfor culture connection clarity and the evolving needs of our work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days asdeterminedby the business needs of the team. 

LinkedIns Data Science team leverages big data to empower business decisions. The Trust Data Science team at LinkedIn works in close partnership with the trust engineering content moderator  and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust & security team (content reviewers) to be effective through data driven insights and minimize damage to our members optimize member account access experience while defending attacks provide insights to improve feed content quality on site analyze trust/security features performance through product A/B testing etc.

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 closely with product managers content moderation team engineers designers product marketing and the trust infrastructure team to develop and deliver tools or data structures that provide actionable recommendations to business partners. Successful candidates will exhibit technical acumen and business savvy with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.

Responsibilities:

• Work with a team of high-performing analytics data science professionals and cross-functional teams to identify business opportunities optimize product performance or go to market strategy

• Build data expertise act like an owner for the company and manage complex data systems for a product or a group of products

• Performing all of the necessary data transformations to serve products that empower data-driven decision making

• Establishing efficient design and programming patterns for engineers as well as for non-technical partners

• Designing integrating and documenting technical components for data flows or applications that perform analysis at a massive scale

• Ensuring best practices and standards in our data ecosystem are shared across teams.

• Understand the analytical objectives to make logical recommendations and drive informed actions

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

• Initiate and drive projects to completion with minimal guidance

• Contribute to engineering innovations that fuel LinkedIns vision and mission

Qualifications :

• Bachelor in a quantitative discipline: statistics operations research computer science informatics engineering applied mathematics economics etc.

• 5 years relevant industry or relevant academia experience working with large amounts of data

• 3 years experience with SQL/Relational databases

• 3 years experience with manipulating massive-scale structured and unstructured data.

• Experience with distributed data systems such as Hadoop and related technologies (Spark Presto Pig Hive etc.).

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

• Experience with data modelling ETL (Extraction Transformation & Load) concepts and patterns for efficient data governance.

• Working knowledge of Unix and Unix-like systems git and review board.

Additional Information :

Preferred Qualifications:

• Masters or Ph.D. degree in a quantitative discipline: statistics operations research computer science informatics engineering applied mathematics economics etc.

• Bachelors with 5 years or Masters with 3 years of industry experience

• Experience in developing data pipelines using Spark and Hive

• Experience with either data workflows/modeling front-end engineering or back-end engineering

• Experience in either the front-end or back-end development of data-powered applications.
  
  Suggested Skills:

• Deep understanding of technical and functional designs for relational and MPP Databases Reporting and Data Mining systems

• Strong communication skills with the ability to synthesize simplify and explain complex problems to different audiences.

• Experience working with databases that power APIs for front-end applications.

• Experience in data visualization and dashboard design including tools such as Tableau R visualization packages D3 and other Javascript libraries etc.

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No

Employment Type :

Full-time