LinkedIn Senior Data Scientist (Data Products) in Bangalore, India
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
LinkedIn’s 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 600 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
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 various cross-functional teams such as product, marketing, sales, engineering, and operations 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 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 LinkedIn’s vision and mission.
• Masters or Ph. . degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• Bachelors with 6+ years or Masters with 4+ years or Ph. . with 2+ 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.
• Strong communication skills, with the ability to synthesize, simplify and explain complex problems to different audiences.
• Experience in either the front-end or back-end development of data-powered applications.
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