{"id":1144886,"url":"https://alion.io/job/jpmorganchase-data-scientist-lead-2","title":"Data Scientist Lead","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":358,"ghost_share":0.006,"stale_share":0.008,"repost_share":0.017,"time_to_fill_p50_days":3,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":85000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":328},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"MLFlow","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T13:50:27Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T20:28:26Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We have an exciting opportunity for you to enhance your career in Data & Analytics, contributing to innovative banking solutions.\nAs a Data Scientist Lead at JPMorgan Chase within the Data and Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objective\nJob Responsibilities:\nDesign, develop, and enhance ML workflows to support sales strategies, customer segmentation, campaign effectiveness, and branch performance optimization.\nConduct experiments using advanced ML and statistical methods, analyze results, and tune models to deliver actionable insights for sales and customer engagement.\nActively engage in hands-on coding, converting experimental results into robust, scalable production solutions.\nTake full ownership of the code development lifecycle in Python, from proof of concept and experimentation to production-ready solutions.\nCollaborate with business partners, product managers, and technology teams to integrate ML solutions into branch operations and sales processes.\nRequired Qualifications, Capabilities, and Skills\nMasters in Computer Science, Statistics, Mathematics, Data Science, or a related field, with at least 8 years of applied data science and machine learning experience.\nHands on experience in one or more programming languages such as Python, R, or Java. Intermediate to advanced Python proficiency is required.\nProven experience applying machine learning techniques to solve business problems in sales analytics, customer analytics, or financial services.\nStrong background in statistical modeling, data mining, and machine learning methods (e.g., regression, classification, clustering, time series analysis, ensemble methods).\nExperience with machine learning and deep learning frameworks such as scikit-learn, PyTorch, or TensorFlow.\nAbility to independently manage tasks and projects through to completion with limited supervision.\nExcellent communication skills, with the ability to present complex ML concepts to non-technical stakeholders.\nStrong attention to detail and a collaborative, team-oriented mindset.\nPreferred Qualifications, Capabilities, and Skills\nExperience in sales enablement analytics, marketing analytics, or performance analytics within banking or financial services.\nIn-depth understanding of advanced ML methodologies such as customer segmentation, campaign attribution, recommender systems, uplift modeling, and graph analytics.\nExperience with cloud platforms (e.g., AWS, Azure, GCP) and tools for building and deploying ML models (e.g., Sagemaker, Databricks, MLflow).\nFamiliarity with big data technologies (e.g., Spark, Hadoop) and data engineering best practices.\nSoftware development experience is a plus.","description_format":"text","description_chars":2961,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Cards","Wealth Management","Asset Management","Payments"],"lifecycle":[{"event":"open","at":"2026-09-23T14:28:04Z"}],"liveness":{"score":83,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.826,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-data-scientist-lead-2","json_url":"https://alion.io/job/jpmorganchase-data-scientist-lead-2.json","meta":{"generated_at":"2026-09-24T22:25:30Z","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":650,"day_limit":5000,"remaining_today":4350,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}