Join Our Team as a Data Scientist - Core Analytics Associate at JPMorgan Chase & Co.

Are you seeking an exciting opportunity to advance your career in the vibrant field of Data Science? JPMorgan Chase & Co. is looking for a skilled Data Scientist - Core Analytics Associate to join our dynamic and growing team. This position offers a challenging and fast-paced environment where you can partner directly with the business and lead our data strategy.

Key Responsibilities:

Lead Data Strategy: Define and execute data strategies to enhance business value and gain competitive advantage. You'll identify data-driven opportunities and lead initiatives to capitalize on these insights.

Advanced Statistical Techniques: Apply predictive modeling, time series analysis, and optimization algorithms to extract insights from complex datasets.

Machine Learning Model Development: Create and implement models for customer segmentation, churn prediction, recommendation systems, and anomaly detection across various business units.

Data Preprocessing and Visualization: Handle large, unstructured datasets with tools like Spark and Hadoop, and craft compelling visualizations to communicate insights to diverse stakeholders.

Cross-functional Collaboration: Work closely with teams across product management, engineering, and business to design solutions and lead projects that address key business challenges.

Model Deployment and Monitoring: Deploy machine learning models in real-time environments and monitor their performance to ensure reliability and effectiveness over time.

Mentorship and Leadership: Offer guidance and mentorship to junior data scientists, advocating for best practices and contributing to the team’s professional growth.

Continuous Learning: Stay abreast of the latest trends in data science and machine learning, continually seeking opportunities to enhance your skills and knowledge.

Required Qualifications and Skills:

Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field

Experience: Minimum of 8 years in data science and engineering, with a proven track record of leading data-driven projects.

Technical Proficiency: Strong skills in programming languages like Python or R and familiarity with machine learning frameworks such as TensorFlow and PyTorch.

Data Manipulation: Extensive experience with big data technologies like Apache Spark and Hadoop, and expertise in SQL and NoSQL databases.

Data Visualization and Communication: Excellent ability to convey complex data insights using tools like Matplotlib, Seaborn, and Tableau.

Business Acumen: Demonstrated ability to understand business challenges, devise analytical solutions, and provide actionable recommendations to foster business growth.

Preferred Expertise:

• Advanced knowledge in Python and Machine Learning frameworks like TensorFlow and PyTorch
• Proficiency in Big Data Technologies, including Apache Spark and Hadoop
• Expertise in Data Visualization tools such as Matplotlib, Seaborn, and Tableau
• Experience with databases and querying languages including SQL, PostgreSQL, and MongoDB
• Familiarity with Version Control and Collaboration tools like Git and GitHub
• Knowledge of CI/CD & MLOps practices

About JPMorgan Chase & Co.

We are a premier financial institution with over 200 years of history, leading in investment banking, consumer banking, commercial banking, transaction processing, and asset management. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive for excellence in everything we do and recognize that our people are our greatest asset.

For more details about this position or to request accommodations, please visit our .

JPMorgan Chase & Co. is an equal opportunity employer.

Apply now to become a part of our team and shape the future of our company with your expertise and insights. Discover the impact you could make with a career at JPMorgan Chase & Co.