Senior Data Scientist, LinkedIn Analytics - Learning Solutions Sales Intelligence
Location:
Sunnyvale , California
Posted:
January 18, 2017
Reference:
1619996861
LinkedIn Analytics team leverages LinkedIn's extreme rich datasets to develop and deliver data-driven insights, metrics and tools in order to drive LinkedIn's business growth and monetization efforts. Our team is rapidly reinventing the way that proprietary data analysis can drive sales /marketing efforts and product decisions. We now need a talented and driven data scientist to accelerate our efforts and be a major part of our data-centric culture.
We're looking for a hands-on professional who is passionate about mining big data, turning data into insights, and making an impact through rigorous analysis, creative storytelling and timely actions. This person will play a significant role on analytics for LinkedIn Learning Solution, and work closely with sales, engineering, operations, and data service team to develop and deliver data-driven models/tools, insights, and ultimately drive the company's monetization efforts. The vision for LinkedIn Learning Solution is to create economic opportunity for the global workforce through transformative learning.
Responsibilities
Overall, a highly driven, results-oriented, creative and nimble problem solver and a willingness to do "whatever it takes" to deliver business value in a timely fashion.
Own end-to-end enterprise sales intelligence. Analyze massive scale structure and unstructured data, develop machine learning models to drive enterprise customer acquisition, engagement, and customer success.
Create and maintain insightful automated dashboards and data visualization to track business metrics and recommend actionable insights. Partner with cross-functional teams cross engineer, product, marketing, and operations to lead or contribute to large scale strategic projects as well as ongoing operational activities.
Effectively communicates complex analytics to sales team and broader audience in writing and oral presentation formats.
Basic Qualifications
2+ years analytics experience, e. . analytics, data science, data engineering, predictive modeling, statistician, in internet or related industries.
Experience in querying again and transforming big data within both traditional database environment and Hadoop HDFS system. (Teradata, MySQL, Pig/Hive) Hands-on experiences with R and/or Python for statistical modeling, clustering, classification, machine learning, and data/text mining.
Experience in a Unix/Linux environment for automating processes with shell scripting or any scripting language such as Python/Perl/Ruby.
Experience with Tableau or other data visualization and dashboarding tools.
Preferred Qualifications
Passionate about LinkedIn and data analytics, fast learner and self starter.
Excellent oral and written communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience. Comfortable to lead and influence without authority.
Experience with building end-to-end data product, familiar with HTML, CSS.
Web development experience with Python Flask, JavaScript, API and web scripting.
Experience with Enterprise sales and marketing is a big plus.
Experience with SalesForce data is a plus. Always be learning attitude, as we are analytics for LinkedIn Learning Solution.

A little about us:
LinkedIn's vision is to create economic opportunity for every member of the global workforce. Our employee talent is our #1 operating priority.

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