Salesforce

Senior Data Scientist/Machine Learning Engineer

Job description

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


LOCATION: We are open to Fully Remote, Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in office) work arrangements.

Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World’s Most Innovative Company according to Forbes, and one of Fortune’s 100 Best Companies to Work For six years running. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!

Department Overview: Data Science Apps (DSA)
The Data Science Apps (DSA) team, which sits within the broader Data Intelligence organization, is a family of hard-working 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 balanced disregard for constraints.

The DSA team, composed of machine learning professionals, works with analysts, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to build ML-driven decision making data products that enable our stakeholders to affect the bottom line and tackle critical business problems.



If you were to join us, you would:

  • Work closely with a talented team of machine learning professionals on a wide range of problems including forecasting important business metrics such as sales and capacity, churn and propensity modeling to retain and grow our customer base, clustering and classification using both structured and unstructured data, and more!
  • Help create high-visibility data products and decision-making tools for Salesforce’s leaders.
  • Lead the charge on taking our core products to the next level in terms of engineering maturity and architecture.
  • Refine and develop new data data science products, workflows, tools, and automation.
  • Build tools to monitor data pipeline performance, data quality and models in production.
  • Establish best practices with coding standards, workflows, tools, and product automation.
  • Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and create new ones.
  • Scale the operations of the data science team by building automation and libraries.
  • Peer review code and participate in architecture design and reviews.
  • Be part of a team and company that truly cares about your wellbeing and knows how to have fun - both during and after work!

Examples of attributes we value:

  • 4+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions.
  • Experience working as part of a data team working with mature data science products.
  • Proven track record in building software and data products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies.
  • Applied experience designing, building and optimizing data pipelines, architectures and data sets.
  • Experience deploying, monitoring and maintaining data science products in cloud environments such as AWS or Microsoft Azure.
  • Good understanding of Machine Learning methods and Statistics, including ML project lifecycle and associated challenges at each stage of development.
  • Proficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker and Cloud Platforms such as AWS/GCP is ideal.
  • Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark.
  • Strong communication skills and ability to interface well with other engineers, data scientists and product managers.
  • Passion, curiosity, solutions focus and independence.

In school, or graduated within the last 24 months? Please visit FutureForce for opportunities

For Colorado-based roles: Minimum annual salary of $82,400. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/ .

You can find other info there as well- including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!

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