Senior Data Scientist US REMOTE

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About SplunkJoin us as we pursue our powerful vision to Turn Data Into Doing, powering Security, Observability and DevOps. We are a company filled with people who are passionate about our products and seek to deliver the best experience for our customers. At Splunk, weu2019re committed to our work, customers, having fun and most importantly to each otheru2019s success. Learn more about Splunk careers and how you can become a part of our journey!About the role:The Customer Experience Data & Insights team is looking for a Senior Data Scientist to accelerate the pace of insight and model development that will move the needle on customer success, reducing churn and improving overall satisfaction at all stages of the customer journey. As a Senior Data Scientist, you will work alongside our data analysts and partners to understand what aspects of product engagement and services adoption are most critical to customers receiving ongoing value with Splunk. You will address questions such as u201CWhat are the leading indicators of customer churn?u201D and u201CWhat aspects of our products and services create frustration or higher-than-expected levels of effort for the customer?u201D. We are looking for a self-motivated thought leader who not only has the technical chops, but is a stellar communicator and a team player, and who understands that when our customers succeed, we all win. This is a high visibility role on a fast-paced, high-performing team.u00A0ResponsibilitiesLead the design, development, and deployment of a variety of high-profile customer adoption models and analyses, with an emphasis on actionability and accuracy (or similar evaluation metric)Provide technical leadership/guidance and bring scientific rigor to our teamu2019s work and collaboration with our partnersHelp shape the future of our customer experience data and insights strategy and roadmap with an eye towards influencing the broader CX and data-driven culture at SplunkClean messy data sets, create linkages between multiple data sources, and build out comprehensive documentationInterpret and present results to partners and stakeholders (including executives) in an accessible way that connects to our Splunk-wide performance metrics and CX initiativesCreate compelling and accessible reports, dashboards, and presentations to broadly share our insights, results, and recommendationsWork with our Analytics Data Platform and Enterprise Data Management partners to test and move models into productionCollaborate with stakeholders in the design and QA phase to ensure analyses and models are addressing business needs and incorporating a deep understanding of our products and processesQualifications5 years experience in a high-impact data science role, preferably at a SaaS organizationMastery in performing robust statistical and mathematical analyses (including correlation and exploratory analysis)3 years developing supervised machine learning models within enterprise environment (experience deploying models into production environment(s) preferred)u00A0Mastery of Python and SQL (experience with Snowflake a plus)Demonstrated independence and dynamic thinking in problem solving, with deep analytical skills, proven mathematical rigor, and confidence troubleshootingExcellent and confident communicator with experience understanding business questions, working with business stakeholders, and crisply articulating impact of findings at executive levelAbility to articulate the vision for and quickly turn around POCs/MVPsu00A0Familiarity with peer review and scientific methodologyExpert in creating compelling visualizations with clear storylines (familiarity with python visualization libraries - matplotlib, seaborn, etc.); experience with Tableau and Splunk a plusExperience using git/version control, CLI, and IDE (e.g., PyCharm)Experience in customer success / customer experience and product analyticsSolid understanding of industry best practices (CX metrics, data science development pipelines, agile development, etc.)Strong project and process management with proven ability for planning, scheduling, coordinating and delivering data products on timeExperience with unstructured data and/or text analytics a plusPossesses a desire to learn and help othersNote: Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location.u00A0 Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out below, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and benefits, and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, an ESPP and much more! Learn more about our comprehensive benefits and wellbeing offering here.Base Pay Rangeu00A0SF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range:u00A0 $156,000 - 214,500 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range:u00A0 $142,400 - 195,800u00A0 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range:u00A0 $129,600 - 178,200 per year

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