Data Scientist Lead [Multiple Positions Available]

JPMorganChase; Jersey City (NJ); On-site; USD 173,945 - 210,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Tuition reimbursement

Backup childcare

Mental health support

Financial coaching

Job summary

A leading global financial firm is seeking a Data Scientist Lead in Jersey City. This full-time role requires a Master’s degree and at least four years of experience in data analysis and predictive modeling. Responsibilities include conducting key analyses to inform business strategies and collaborating with teams across the organization. The salary ranges from $173,945 to $210,000 annually, with a competitive benefits package including comprehensive healthcare and tuition reimbursement.

Qualifications

• Master’s degree and 4 years of experience in relevant roles required.
• Experience in Python for complex analyses and predictive modeling.
• Advanced knowledge in statistical analysis and machine learning techniques.

Responsibilities

• Conduct in-depth analyses to guide business strategies.
• Collaborate with cross-functional teams to improve experiences.
• Develop and implement statistical models to pinpoint trends.

Skills

Python

Predictive modeling

Data visualization

Advanced SQL

Education

Master’s degree in Business Analytics, Data Science, Machine Learning, or related field

Tools

Tableau

Power BI

Looker

Job description

Data Scientist Lead [Multiple Positions Available]

Join to apply for the Data Scientist Lead [Multiple Positions Available] role at JPMorgan Chase.

Base Pay Range

$173,945.00/yr - $210,000.00/yr

Responsibilities

• Identify key metrics and conduct in‑depth analyses to guide business and inform strategy decisions.
• Work with cross‑functional teams (Product, Sales, Marketing, Account Management, Risk) to help upsell and cross‑sell products and improve merchants’ experience.
• Partner with leaders across Sales, Marketing, Finance, and Account Management to deliver high‑impact analytics.
• Identify and define business challenges and craft strategic analysis plans to uncover necessary insights and solutions.
• Collaborate with internal teams and stakeholders to develop insights and analytics solutions for internal and external clients.
• Examine diverse data sources and develop statistical models to pinpoint trends and key factors for product development, sales strategies, risk management, and operations.
• Build data visualizations by leveraging existing tools or developing new ones, and provide ongoing enhancements to business dashboards.
• Implement processes and build tools to make data access, extraction, and analysis more efficient.
• Build and grow relationships with internal teams to proactively identify business needs and address them using analytics.

Qualifications

Minimum education and experience required: Master’s degree in Business Analytics, Data Science, Machine Learning, or a related field plus 4 years (48 months) of experience as a Data Scientist, Decision Analytics Associate, or related occupation.

• Four (4) years of experience using Python to conduct complex analyses, build predictive models with libraries such as NumPy, Pandas, Scikit‑learn, Scipy, and Statsmodels; predictive modeling techniques including Logistic Regression, Decision Trees, K‑Means clustering, SHAP-based model interpretability; and advanced Excel (VBA, VLOOKUP, INDEX MATCH, Pivot Tables).
• Two (2) years of experience with supervised learning for Customer Churn prediction using XGBoost, Random Forest, ARIMA, Prophet, LSTM (TensorFlow, Keras, Fbprophet); anomaly detection with Isolation Forest and One‑Class SVM; statistical analysis and hypothesis testing (ANOVA, TURF Analysis); handling banking‑related datasets; financial scenario and risk modeling with Monte Carlo simulations; dashboard creation and automation using Looker, Tableau, Power BI; advanced SQL (CTEs, window functions, stored procedures); data pipelines with cron jobs, shell scripts, Python automation; log parsing with Perl; integration with Java backends via REST APIs; KPI tracking using Python, SQL, BI tools; Jupyter Notebooks for analysis; and streaming deployment with Apache Kafka and Docker.

Benefits & Compensation

We offer a competitive total rewards package that includes a base salary based on role, experience, skill set, and location; discretionary incentive compensation; comprehensive health care coverage; on‑site wellness programs; retirement savings plan; backup childcare; tuition reimbursement; mental health support; financial coaching; and more. Additional details will be provided during the hiring process.

Job Location

545 Washington Blvd, Jersey City, NJ 07310.

Full‑time position.

Equal Opportunity Statement

JPMorgan Chase & Co. is an equal opportunity employer. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We provide reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

About The Team

The Commercial & Investment Bank provides strategic advice, raises capital, manages risk, and extends liquidity in markets worldwide. Our global workforce values diversity and inclusion, and we are committed to fostering an environment where all employees can thrive.