Senior / Lead / Principal Data Scientist / Data Science Engineer

Overview

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 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 meal conversations with your team members about really important topics, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?

Company:

Salesforce

Qualifications:

Qualifications
You share our values: Trust, Innovation, Equality, and Giving Back
Experience presenting insights to executives and non-technical audiences around product analytics data
Proven knowledge with applied statistics and probability/ predictability data outputs
Keep up to date with cutting-edge machine learning/ big data methods and techniques
You are passionate about automating everything and applying scientific methods to solve business and engineering requirements
Can thrive in team environments; using agile methodology and interacting with Product Leaders, Scientists and Engineers to solve technology’s greatest challenges
Learn quickly in a fast-paced, dynamic team environment
Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics

Preferred Qualifications
MA/MS or PhD degree in computer science, artificial intelligence, machine learning, speech recognition, natural language processing, operations research, or related technical field.
Experience designing and implementing machine learning pipelines in production environments.
Working knowledge of current techniques and approaches in machine learning and natural language processing: text categorization, text summarization, information retrieval, question answering, sentiment analysis, semantic parsing, etc.
Experience with one or more general purpose programming languages including but not limited to: Java, Scala, or Python.
Experience with Apache Spark platform (including Datasets, SparkML) and/or experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Caffe or PyTorch).
Creative thinking and a keen interest in brainstorming ideas for the next generation of data products.
What We Care About
You have industry experience with writing code (e.g. SQL, Python, R, Spark) and taking ML models/ algorithms to production. Preference for 5+ years of industry experience (without PhD); at least 2-3+ years of industry experience with PhD. This is not an entry level / new college graduate role.
You have to love data – this is what we do. We are looking for people who are excited about different and unique data sets, and all the ways that they could be used in order to improve user experience.

Level of experience (years):

Mid Career (2+ years of experience)

Tagged as: Data Mining, Industry, United States