Data Scientist
Company Name:-
Salesforce
Job Location:-
Hyderabad, Telangana
Job Summary:-
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Products and Technology
Job Details
Department Overview: Data Science Apps (DSA)
The Data Science Apps (DSA) team, which sits within the broader Data Intelligence organisation, is a family of multi-talented technologists with backgrounds ranging from Artificial Intelligence to Finance.
What connects us all is a shared curiosity for how to drive product strategy with data, a passion for getting the job done, and a healthy disregard for constraints.
The DSA team, comprising of other data scientists and machine learning engineers, works with other data scientists, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to
discover new opportunities for growth and optimization
drive data-informed product strategy
create data product experiences and actionable insights that enable our stakeholders to maximize revenue.
The team works exclusively with Salesforces leaders, providing them with prescriptions to effect the bottom line and solve critical business problems, rather than on external customer-facing products.
If you were to join us, you would:
Work closely with a diverse, talented team of data scientists, data and visualisation engineers, analysts, strategists, product managers to create high-visibility data products and decision-making tools for Salesforces leaders.
Work on problems like forecasting important business metrics such as sales and capacity, churn and propensity modelling to retain and grow our customer base, clustering and classification using both structured and unstructured data so we can deliver value and create the most meaningful customer experiences, and so much more!
Have exposure to and build end-to-end data data science products – develop, maintain and productionalise new and existing models and algorithms that underpin our data science applications.
Regularly review and update our existing data, models and algorithms to ensure that they remain relevant and to the changes in the broader economy as well as Salesforces own business (e.
g.
acquisitions, in
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