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    Data Scientist - San Francisco, CA, United States - Salesforce

    Salesforce
    Salesforce San Francisco, CA, United States

    2 weeks ago

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    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

    Software Engineering Job Details 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. Job Description Join us if you are interested in developing data science solutions to make a meaningful impact in improving developer productivity We are looking to hire experienced data scientists with a strong sense of service ownership, ability to contribute to design and quickly absorb solutions, empathy for customers, excellent communication skills, a drive for continuous improvement. The role will entail overseeing the entire lifecycle of data-science and ML solutions from POC to deployment to ongoing maintenance and enhancement. Our team creates and supports several existing ML products such as a customer support generative AI chatbot, semantic search, error identification, customer support dashboards, etc. The HDPS Customer Success team is distributed across North America, IST, and DUB. This role will be based In the Bay Area. The Team Salesforce Hyperforce Development Platform Support (HDPS) develops and hosts the Falcon continuous delivery and deployment platform. This includes the Spinnaker, PCS, FIT and IAC services, the CD platform and ecosystem around it and a suite of software integrity and distribution services. The HDPS Customer Success team owns consulting with and assisting Salesforce engineers adopt and use HDPS services and capabilities successfully. This includes working with customers to help them onboard to (new capabilities in) the platform, diagnosing and debugging issues, developing and delivering training content, assessing and driving creation of documentations, designing and developing customer-facing solutions and automation like analytics dashboards and ML-based classification of errors. Required Skills (Data Scientist)
    • A Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Operations, Statistics, Data Science or other relevant courses and 3+ years of prior relevant experience
    • Demonstrated expertise with reporting tools like MS Excel and at least one among the following: Python (Pandas), R, SAS, etc. Experience with ML concepts and statistical libraries like pandas, matplotlib, numpy, sklearn (or their equivalents) is required
    • Demonstrated ease with querying languages like SQL (SOQL / SAQL is a plus)
    • Demonstrated experience with at least one visualization tool and one library from - Tableau, Tableau CRM,Power BI, D3, Apache e-charts, Streamlit, Gradio, R-Shiny, Dash, etc.
    • Demonstrated experience with ETL pipelines and workflows - Jenkins / Airflow / any other ETL orchestration framework
    • Demonstrated experience with Deep learning concepts and NLP frameworks such as nltk, pytorch, tensorflow, keras, huggingface, sentence_transformers, etc.
    • Is a self-starter, must know how to approach problems in a structured and timely fashion
    • Excellent presentation and analytical skills. Ability to learn fast, work collaboratively, and respond to broad problem statements in a data-driven manner
    • Able to structure long-term project roadmaps, resolve inter-team dependencies, and work with stakeholders and ensure timely delivery of project milestones and deliverables
    Preferred Skills (Data Scientist)
    • Prior experience of deploying ML applications on cloud ecosystems like AWS or GCP, and monitoring / enhancing systems in an ongoing fashion
    • Experience with data modeling on RDS / DynamoDB / Hive etc.
    • Experience with LLMs, prompt engineering, fine tuning and libraries like Langchain
    Interested? Contact Richard Chow ( ) Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at and explore our company benefits at Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce. Salesforce welcomes all. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For California-based roles, the base salary hiring range for this position is $160,000 to $220,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: #J-18808-Ljbffr
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