Data Scientist, Global Services Insights & Analytics — Drive Impact

Next Frontier Capital

Chicago (IL)

On-site

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in Chicago is seeking a Data Scientist to lead data-driven initiatives across Commercial Banking.

You will frame questions, design analytical approaches, and translate results into practical recommendations while building scalable analytics solutions that improve planning, efficiency, and controls. You will collaborate with senior stakeholders to prioritize opportunities, balance exploratory analysis with production-ready delivery, and communicate complex results clearly to

Qualifications

Three years of data science experience (financial services or commercial banking experience preferred).
Proficiency in Python, R, and SQL.
Experience applying statistical methodologies to business problems (experimentation, inference, forecasting, or classification).
Experience building machine learning models and translating outputs into actionable recommendations.
Experience designing repeatable and scalable data solutions.
Experience using analytics tools such as Alteryx or Trifacta.
Experience working with distributed data environments such as Hadoop.
Experience with data visualization tools such as Qlik Sense, Tableau, or D3.
Experience with cloud-based analytics platforms, including Databricks.
Strong written and verbal communication skills, including presenting insights to senior stakeholders.

Responsibilities

Lead analytics and insight-generation initiatives using hands-on data science techniques.
Develop experimental frameworks to support data collection and measurement.
Define analytics approaches using business knowledge, statistical methods, and machine learning techniques.
Build models and data applications that produce actionable insights.
Create clear visualizations and messaging that simplify complex results.
Collaborate with business and functional stakeholders on analytics initiatives.
Translate business needs into well-scoped data solutions and analytical deliverables.
Present insights and recommend next steps to senior stakeholders.