Salesforce
Senior/Lead/Principal Data Scientist
Salesforce, Chicago, Illinois, United States, 60290
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 stakeholders5+ years of experience in product analytics or data sciencePractical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essentialAnalytical thinker with a passion for using data and scientific methods to solve business problemsProficient with common analytical programming languages e.g. Python; expert in SQLExperience with writing production-ready code in Python and automationSolid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and SparkTechnical Expertise: Strong proficiency in core Data Science, Machine Learning and Statistical modelingIn-depth experience in techniques from time-series forecasting and/or causal inferenceExpert in end to end data development, including data model design, quality review, deployment and maintenanceExperienced in developing and deploying data science models, especially in the Cloud environmentPassionate about automating data that directly solving business problemsCharismatic storyteller ready to lead growth conversations with senior leadershipLover of building relationships and collaborating in a cross-disciplinary environmentA related technical degreeExperience in time series forecasting methodsResponsibilities
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 businessesProvide leadership and mentorship to the data science team, fostering a culture of excellence, innovation, and collaboration, all aimed at driving tangible business outcomesDevelop and implement advanced data analysis, predictive and prescriptive modeling techniques to extract insights and support data-driven decision-making across the organizationProduce 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 themOwn 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 processesEvangelize and distribute data products that drive action or product improvementContribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processesQualifications
5+ years of experience in product analytics or data sciencePractical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essentialAnalytical thinker with a passion for using data and scientific methods to solve business problemsProficient with common analytical programming languages e.g. Python; expert in SQLExperience with writing production-ready code in Python and automationSolid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and SparkStrong proficiency in core Data Science, Machine Learning and Statistical modelingIn-depth experience in techniques from time-series forecasting and/or causal inferenceExpert in end to end data development, including data model design, quality review, deployment and maintenanceExperienced in developing and deploying data science models, especially in the Cloud environmentPassionate about automating data that directly solves business problemsCharismatic storyteller ready to lead growth conversations with senior leadershipA related technical degreeBenefits
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and moreFor California-based roles, the base salary hiring range for this position is $160,000 to $258,700Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experienceCertain roles may be eligible for incentive compensation, equity, benefits
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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 businessesProvide leadership and mentorship to the data science team, fostering a culture of excellence, innovation, and collaboration, all aimed at driving tangible business outcomesDevelop and implement advanced data analysis, predictive and prescriptive modeling techniques to extract insights and support data-driven decision-making across the organizationProduce 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 themOwn 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 processesEvangelize and distribute data products that drive action or product improvementContribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processesQualifications
5+ years of experience in product analytics or data sciencePractical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essentialAnalytical thinker with a passion for using data and scientific methods to solve business problemsProficient with common analytical programming languages e.g. Python; expert in SQLExperience with writing production-ready code in Python and automationSolid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and SparkStrong proficiency in core Data Science, Machine Learning and Statistical modelingIn-depth experience in techniques from time-series forecasting and/or causal inferenceExpert in end to end data development, including data model design, quality review, deployment and maintenanceExperienced in developing and deploying data science models, especially in the Cloud environmentPassionate about automating data that directly solves business problemsCharismatic storyteller ready to lead growth conversations with senior leadershipA related technical degreeBenefits
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and moreFor California-based roles, the base salary hiring range for this position is $160,000 to $258,700Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experienceCertain roles may be eligible for incentive compensation, equity, benefits
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