What are the responsibilities and job description for the Senior / Lead / Principal Data Scientist / Data Science Engineer position at NLP PEOPLE?
The Role And Your Impact
Salesforce is the #1 in CRM in the world, and best known as the Customer Success Platform. As an industry leader in Sales, Service, and Marketing, we have some of the most unique data sets in the world. With our customers we are trailblazing new ways to bring AI to their customers. Whether it’s Service Technicians triaging their most urgent support tickets, or helping Retailers build deeper, more personalized relationships with each customer, or helping sales teams prioritize opportunities and win more deals.
Salesforce is looking for data scientists with hands-on experience transforming unique data into amazing products. At scale. You will have access to an enormous amount of high-value business activity data, including unstructured and semi-structured records around the sales process, and customer activity data such as email messages, calendar events, and phone calls. You will participate in the end-to-end processes of product development using machine learning, from proof of concept to deploying models in production. You will be asked to experiment with state-of-the-art technologies and conduct research work geared towards new product development.
You will be working with a group of world-class data scientists and engineers to build intelligent services for both internal teams and customer-facing products. We are a team with diverse technical backgrounds who share a passion for problem-solving, new technologies, and learning. We love to learn and teach and help each other, and we are looking for people with a collaborative attitude and openness to others’ ideas.
A typical day for you might include some of the following :
- Develop machine learning software and statistical data models that can generalize across hundreds of thousands of Salesforce customers, but can automatically adapt to each of their individual features.
- Brainstorm data product ideas with the data scientists that built some of the most exciting data products that hundreds of millions of people use every day.
- Work with fellow engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs.
- Meet with external customers and understanding their businesses and their challenges.
- Work with internal product teams to transform and sprinkle machine learning fairy dust on their products.
- Build intelligence into our services to make them run smarter.
- Participate in conversations with your team members about important topics.
Company : Salesforce
Qualifications : Qualifications :
Preferred Qualifications :
Level of experience (years) :
Mid Career (2 years of experience)
Tagged as : Data Mining , Industry , United States
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