Senior Data Scientist ML Engineer

Key Skills

AWS, Distributed computing, Machine learning techniques, Object detection, Pandas, PySpark, Python Programming, SQL, Statistical modeling

Job Description

Salesforce Inc. seeks Senior Data Scientist ML Engineer in San Francisco, CA:

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 modelling to retain and grow our customer base, clustering and classification using both structured and unstructured data, and more. 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 tool-set 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.

HQ address additionally encompasses the following

Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option.

Minimum Requirements: Bachelor’s degree (or its foreign degree equivalent) in Mathematics, Engineering (any field), or a related quantitative discipline, and four (4) years of experience in the field of software engineering or four (4) years of experience in the job offered.

Special Skill Requirements: (1) Python (4 years); (2) SQL (4 years); (3) Object Oriented Programming (4 years); (4) Pandas (4 years); (5) Machine Learning (4 years); (6) Cloud Computing technologies such as AWS (3 years); (7) pySpark (3 years); (8) Statistical Modeling (3 years); and (9) Distributed computing (3 years). Any suitable combination of education, training and/or experience is acceptable.

Education, experience and criminal background checks will be conducted. Telecommuting is an option.

Salary: $160,000.00 - $220,000.00 per annum.