{"id":1508135,"url":"https://alion.io/job/slack-senior-data-scientist-gtm","title":"Senior Data Scientist - GTM","company":{"id":17155,"name":"Slack","domain":"slack.com","url":"https://alion.io/company/slack","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States","Atlanta, United States","Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":164000,"max_usd":321000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":769},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false},{"name":"A/B Testing","optional":true},{"name":"Hadoop","optional":true},{"name":"Machine Learning","optional":true},{"name":"Presto","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-02T20:28:42Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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.\nJob Category\nDataJob Details\nAbout Salesforce\nSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.\nReady to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.\nAbout the Role\nWe are looking for an experienced Senior Data Scientist to support Slack's Go-to-Market (GTM) organization. In this role, you will partner with Sales Strategy, Sales Programs, Product, Finance, and Data teams to uncover opportunities that accelerate growth, improve customer outcomes, and shape GTM strategy through data.\nYou will work on some of Slack's highest-impact business questions, applying advanced analytics, experimentation, and statistical methods to understand customer behavior, evaluate strategic initiatives, and optimize GTM performance. As Slack continues to invest in AI-powered selling and customer intelligence, you will help define the analytical frameworks, predictive models, and measurement systems that enable smarter decisions at scale.\nYou will collaborate closely with Engineers, Business Leaders, and Researchers to identify opportunities, influence strategic direction, and build a culture of evidence-based decision making.\nSlack has a positive, diverse, and supportive culture. We look for people who are curious, inventive, and strive to improve every day. In our work together, we aim to be smart, humble, hardworking, and, above all, collaborative. If this sounds like a great fit, we'd love to hear from you.\nWhat You Will Be Doing\nPartner with GTM leadership to identify strategic opportunities, evaluate business performance, and influence key business decisions.\nApply statistical methods, experimentation, and advanced analytics to understand customer behavior, sales performance, and drivers of business growth.\nDevelop predictive models, segmentation frameworks, and forecasting methodologies that improve GTM planning and execution.\nDesign measurement strategies and success metrics to evaluate products, programs, and strategic initiatives.\nConduct deep-dive analyses to identify opportunities for revenue growth, customer adoption, operational efficiency, and field productivity.\nBuild scalable analytical frameworks that uncover trends, quantify business impact, and support executive decision making.\nPartner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation.\nCollaborate with Product and Sales Strategy to develop intelligence solutions that connect account health, product usage, customer engagement, and seller actions into actionable recommendations.\nTranslate complex analyses into compelling narratives, executive presentations, dashboards, and written recommendations tailored to both technical and non-technical audiences.\nChampion evidence-based decision making by improving access to trusted metrics, analytical methodologies, and strategic insights across the GTM organization.\nWhat You Should Have\n4+ years of industry experience applying data science, statistics, or quantitative analysis to solve complex business problems.\nAdvanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.\nStrong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving.\nExperience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.\nProven ability to communicate complex analytical findings clearly to executive and cross-functional audiences.\nExperience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions.\nA related technical degree required.\nPreferred Qualifications\nMaster's degree or PhD in Statistics, Computer Science, Economics, Mathematics, Operations Research, or a related quantitative discipline.\nExperience supporting Sales, Marketing, Customer Success, Finance, or other Go-to-Market organizations through advanced analytics.\nExpertise in experimental design, A/B testing, causal inference, forecasting, or machine learning.\nExperience developing production-quality analytical models and partnering with engineering teams to operationalize data science solutions.\nDeep understanding of GTM operating models and experience collaborating with Sales Strategy and Sales Programs teams.\nDemonstrated ability to independently define ambiguous business problems, develop rigorous analytical approaches, and influence executive-level strategy.\nExperience applying AI and machine learning techniques to improve business decision making, operational efficiency, or customer experiences.\nUnleash Your Potential\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.\nAccommodations\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\nPlease note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.\nPosting Statement\nSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.\nIn the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.\n\nThe typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.\n\nThe range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.","description_format":"text","description_chars":9001,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Marketplaces","AI Agents","Team Communication & Collaboration"],"lifecycle":[{"event":"open","at":"2026-09-30T06:48:21Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":26,"reasons":["conf:18","velocity","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/slack-senior-data-scientist-gtm","json_url":"https://alion.io/job/slack-senior-data-scientist-gtm.json","meta":{"generated_at":"2026-10-03T01:42:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1699,"day_limit":5000,"remaining_today":3301,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}