Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

The Data Science team at LinkedIn works in close partnership with cross-functional partners (product managers, engineers, designers, etc ) to identify opportunities to develop and enhance products and features that connect our Members with greater professional opportunity. We are looking for a Data Scientist to join our team in developing innovative new technologies, features and products that will help further our mission of connecting the world’s professionals. You will be responsible for informing strategy and decisions as well as building, measuring, understanding and improving products. Ultimately, you will develop data-driven product solutions that will add value to our customers and improve the professional lives of our members. This role will have particular focus on creating the best user experience for our members in China, so that they can reach global career opportunities through professional identity.

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Responsibilities :

• Extract and analyze LinkedIn data to derive actionable insights
• Formulate success metrics, socializing them and creating dashboards/reports to monitor them
• Design and analyze experiments to test new product ideas and convert the results into actionable product recommendations

• Work closely with product and engineering partners to determine tracking specs necessary to enable analytics of our products and features
• Enable others in the organization to utilize your work by developing scalable data solutions
• Develop models and data-driven solutions that add material lift to principal performance metrics
• Basic Qualifications :

• BS/MS/Ph.D. degree in a quantitative discipline: statistics, applied mathematics, operations research, computer science, engineering, economics, etc.
• 2+ years experience in SQL, Pig, R, Python (or any other scripting language), Hadoop ecosystem
• 1+ year working experience in product analytics or marketing analytics, exposure to A/B testing
• Preferred Qualifications :

• 2+ years of industry experience, ideally at a consumer web or internet based company, working with large amounts of data
• Ability to translate business objectives into quantitative questions
• Ability to communicate findings clearly to both technical and non-technical audiences