JPMorgan Data Scientist Vice President 

United States, New Jersey, Jersey City 

360505505

Job Responsibilities:

• Collaborate across Bankers, Client Services, Operations, Product and Technology teams to understand existing processes and bottlenecks, recommending transformative processes to achieve measurable productivity and efficiency gains.
• Design and execute A/B tests and experimental designs to validate hypotheses and quantify business outcomes with statistical confidence.
• Build interpretable predictive models using techniques such as linear/logistic regression, decision trees, random forests, and gradient boosting methods, focusing on interpretability and statistical validity.
• Conduct exploratory data analysis and feature engineering to uncover hidden patterns and generate actionable insights from structured and unstructured data sources.
• Design and implement complex algorithms and data-driven models to extract insights and drive decision-making.

Required Qualifications, Capabilities, and Skills:

• PhD in Computer Science, Data Science, Statistics or a related filed with a strong focus on data analysis, statistical modeling and advanced Ai/ML techniques.
• Extensive experience in Natural Language Processing including Large Language Models.
• Proven track record in building and evaluating advanced Machine Learning models
• Expertise in statistical analysis, including hypothesis testing, regression analysis, time-series forecasting, and Bayesian modeling
• Apply past experience to drive and influence business decision-making by providing solution options
• Leverage the innovation and thought leadership of our global team of technologists
• Expertise in statistical analysis, including hypothesis testing, regression analysis, time-series forecasting, and Bayesian modeling
• Extensive experience working with large volumes of data across both SQL and NoSQL platforms.

Preferred Qualifications, Capabilities, and Skills:

• Atleast 7 years of relavnt work expereince.
• Advanced proficiency in Python and its developmental toolsets, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
• Strong skills in data visualization and the ability to communicate complex statistical concepts to non-technical stakeholders
• Collaborate effectively with teams and individuals across the firm to achieve common goals.
• In-depth knowledge of project lifecycle and software development lifecycle deliverables, including version and revision control practices and procedures.
• Flexibility to work under tight deadlines, with minimal supervision, exercising independent judgment and prioritizing tasks effectively.
• Exceptional analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to thrive in ambiguous situations and adapt to changing priorities