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Lead Data Scientist
Customer Success – Support Services and Renewals
India - Hyderabad

Job Description: Data Scientist

The Customer Intelligence team in Salesforce’s Customer Success and Growth (CSG) creates data and data science products towards understanding and driving customer’s usage and adoption. The Customer Intelligence team is made up of data scientists, data engineers, and business analysts who are dedicated to driving customer success using data-driven insights. The Customer Intelligence team works with executives, success managers, sales and renewal managers, product managers across CSG to discover and analyze opportunities for growth and optimization and provide actionable insights towards driving customer success.

We are looking for hands-on data scientists to be part of the Data Science team within Customer Intelligence. As a member of this team, you will have an opportunity to work with and analyze large amounts of usage and business data. You will play a key role to empower business groups to formulate key strategies, improve business processes and measure impact of existing methods. The results of your work will help Salesforce engage better with its customers and help them become successful on the world’s greatest customer success platform.

In detail, you will:

  • Work with large amounts of structured and unstructured data.

  • Work with internal stakeholders to explore and understand business data.

  • Formulate and test hypotheses to evaluate business strategies and measure impact.

  • Apply complex analytical techniques.

  • Design and implement ML applications.

  • Author reports and presentations to communicate your process and results.

Preferred Experience and Skills:

  • Have a Bachelors or Masters degree in Computer Science, Statistics, Mathematics or related field with 3-8 years of experience in data analysis, statistical modeling and hypothesis testing,

  • Fluent in writing complex database queries in any SQL language (Oracle, MySQL, etc.)

  • Experience with a statistical package such as R, SPSS, SAS, Scipy, etc.

  • Knowledge of Business Intelligence tools and visualization tools such as Business Objects, Tableau, ChartIO, etc.

  • Some development experience in at least one programming language (Python, Java, C++, etc.)

  • Strong written and verbal communication skills

  • Ability to test hypothesis from data and recommend actions while evaluating and testing assumptions.

  • Experience with large data sets and distributed computing (Hive/Hadoop) a plus.

  • Knowledge of Machine Learning concepts (Generalized Linear models, Regularization, Random Forest, Time Series models, etc.)

  • Salesforce experience is  a huge plus but not required

    #LI-MH

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