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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

    Data 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. Salesforce AI Research is looking for outstanding data scientists. Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you passionate about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning? Check our website to learn more about the groundbreaking work of the Salesforce AI Research team ( At Salesforce, we have launched Einstein GPT, the world's first Generative AI for CRM It delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at a hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI. Want to learn more? Check this out: Introducing Einstein GPT: The World's First Generative AI for CRM | Salesforce As a data scientist at Salesforce AI Research, your role will be at the intersection of software engineering and AI research. You will provide data insights and build analytical infrastructure. You will work closely with research and applied scientists to develop models, prototypes, and experiments that push the state of the art in AI research, paving the way for innovative products and services.
    • Build robust data investigation, visualization, and collection pipelines to support large-scale machine learning model training and evaluation.
    • Research, develop, and implement automated algorithm deployment pipelines and processes.
    • Be responsible for the product delivery by working with the AI research team, engineering team, and product managers to turn insights into data products (e.g., data pipelines, algorithms, self-service dashboards).
    • Partner with the product team to instrument, acquire, develop, and structure data assets that are critical to measuring the success of our products.
    • Produce insights to accelerate business growth.
    • Evangelize and distribute data products that drive action or product improvement.
    Minimum Qualifications
    • Master's degree (or 3+ years of experience) in computer science, machine learning, product analytics, data science, or a related technical field.
    • Experience with one or more general-purpose programming languages, including but not limited to Python and SQL.
    • Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
    • Analytical problem solver with a passion for using data and scientific methods to solve business problems.
    • Expert in end-to-end data development, including data model design, quality review, deployment, and maintenance.
    • Lover of forming relationships and collaborating in a cross-disciplinary environment.
    Preferred Qualifications
    • Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g., Spark, Presto, Hive, etc.)
    • Experience in time series forecasting methods.
    • Full-time industry experience in deep learning research/product.
    • Strong experience building and applying machine learning models for business applications.
    • Experience in implementing high-performance and large-scale deep learning systems.
    • Strong programming skills, competitive in ACM-ICPC or other competitions, or open source experience.
    Benefits & Perks Check out our benefits site, which explains our various benefits, including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. 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 $108,800 to $183,900. 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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