Senior Data Scientist ML Engineer

Job Category : Data

If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.

And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world.

If you believe in business as the greatest platform for change and in companies doing well and doing good you’ve come to the right place.

Salesforce Inc. seeks Senior Data Scientist ML Engineer in Seattle, WA :

Job Duties :

• Work 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 partners to affect the bottom line and solve critical business problems.
• Work closely with a versatile 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.
• Help build high-visibility data products and decision-making tools for Salesforce’s leaders.
• Own the charge on taking our core products to the next level in terms of engineering maturity and architecture.
• Refine and develop new 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 toolset and codebase (pipelines, models, algorithms); continue to improve existing tools and build 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.

Minimum Requirements :

Master’s degree (or its foreign degree equivalent) in Computer Science, Mathematics, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the field of software engineering / program analysis or two (2) years of experience in the job offered OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Mathematics, Engineering (any field), or a related quantitative discipline, and five (5) years of progressively responsible experience in the field of software engineering / program analysis or five (5) years of experience in the job offered.

A related technical degree required (Computer Science, Mathematics, Engineering (any field)).

Special Skill Requirements : 2 years in each of the following : (1) Python; (2) SQL; (3) Object Oriented Programming; (4) Pandas;

5) Machine Learning; (6) Cloud computing technologies such as AWS; (7) pySpark; (8) Statistical Modeling; and (9) Distributed computing.

Any suitable combination of education, training and / or experience is acceptable.

Education, experience, and criminal background checks will be conducted.

Telecommuting is an option. Some travel to Salesforce offices may be required.

Certain roles may be eligible for incentive compensation, equity, and benefits. More details about company benefits can be found at the following link : Salesforce Benefits.

Submit a resume using the apply button on this posting or by email at : [email protected] at Job# 22-18364.

Salesforce is an Equal Opportunity & Affirmative Action Employer.

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