Job Description

Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals and retention strategies; as a Senior Analyst/ Data Scientist you will develop and own the relationships with senior stakeholders 5+ years of experience in product analytics or data science Practical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essential Analytical thinker with a passion for using data and scientific methods to solve business problems Proficient with common analytical programming languages e.g. Python; expert in SQL Experience with writing production-ready code in Python and automation Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark Technical Expertise: Strong proficiency in core Data Science, Machine Learning and Statistical modeling In-depth experience in techniques from time-series forecasting and/or causal inference Expert in end to end data development, including data model design, quality review, deployment and maintenance Experienced in developing and deploying data science models, especially in the Cloud environment Passionate about automating data that directly solving business problems Charismatic storyteller ready to lead growth conversations with senior leadership Lover of building relationships and collaborating in a cross-disciplinary environment A related technical degree Experience in time series forecasting methods Responsibilities Partner with the Product, Sales, Customer Success, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses Provide leadership and mentorship to the data science team, fostering a culture of excellence, innovation, and collaboration, all aimed at driving tangible business outcomes Develop and implement advanced data analysis, predictive and prescriptive modeling techniques to extract insights and support data-driven decision-making across the organization Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to accelerate business growth; this requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing them Own the delivery by working with data engineers and business intelligence engineers to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards) Research, develop and implement automated algorithm deployment pipelines and processes Evangelize and distribute data products that drive action or product improvement Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processes Qualifications 5+ years of experience in product analytics or data science Practical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essential Analytical thinker with a passion for using data and scientific methods to solve business problems Proficient with common analytical programming languages e.g. Python; expert in SQL Experience with writing production-ready code in Python and automation Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark Strong proficiency in core Data Science, Machine Learning and Statistical modeling In-depth experience in techniques from time-series forecasting and/or causal inference Expert in end to end data development, including data model design, quality review, deployment and maintenance Experienced in developing and deploying data science models, especially in the Cloud environment Passionate about automating data that directly solves business problems Charismatic storyteller ready to lead growth conversations with senior leadership A related technical degree Benefits Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more For California-based roles, the base salary hiring range for this position is $160,000 to $258,700 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 #J-18808-Ljbffr Salesforce

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