{"id":3961717,"url":"https://alion.io/job/jpmorganchase-workforce-planning-data-scientist-senior-associate","title":"Workforce Planning - Data Scientist - Senior Associate","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":88,"open_postings":1024,"ghost_share":0.012,"stale_share":0.615,"repost_share":0.047,"time_to_fill_p50_days":15,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States","Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"NLP","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-04T14:30:15Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T16:50:33Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"If you like turning real-world problems into models that actually move the needle, you’ll fit right in. Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand, optimize capacity, and sharpen scheduling-at the scale of Chase call centers, back office operations, and ~5,200 branches. The work is complex, high-impact, and rarely “plug-and-play”-you’ll frame the problem, choose the right math, and deliver solutions built for action. If real-time decisioning sounds like your kind of challenge, this is where you belong.\nAs a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that materially impact operations. You will independently frame ambiguous questions, translate them into mathematical formulations, and select modeling approaches grounded in strong theoretical fit-not just benchmark off-the-shelf algorithms. You will design, develop, and productionize rigorous AI/ML solutions that advance next-generation capabilities, including moving toward real-time inference and decision-making across Workforce Planning.\nJob Responsibilities\nDesign and development of Machine Learning, Artificial Intelligence and Statistical models. \nSupport AI/ML projects individually or part of a project team.\nCollaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.\nSelect and apply the appropriate modeling approach based on principled understanding of the problem structure and underlying assumptions, while staying up to data on the latest AI/ML research.\nEnsure the robustness of any data science solution.\nDevelop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.\nWork effectively and gain credibility and respect of others including peers, clients and other stakeholders.\nRequired Qualifications, Capabilities, and Skills\nMaster’s Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.\nExperience supporting AI/ML projects with multiple team members.\nHands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.\nFoundational understanding of the math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.\nProficient in data science programming languages like Python, R or Scala.\nExperience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).\nDemonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. \nPreferred Qualifications, Capabilities, and Skills\nAdvanced expertise with Time Series and Operations Research techniques. \nNatural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.\nPrior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).\nPrevious experience leading highly complex cross-functional technical projects with multiple stakeholders. \nThis role is not eligible for visa sponsorship. 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