J.P. Morgan is looking to transform employee experiences by creating innovative, cloud-centric solutions. The Data Scientist will play a pivotal role in developing AI/ML solutions to directly impact the ability to provide exceptional service to the employee experience by delivering cutting-edge technology solutions.
Requirements
- Proficient programming skills in python and knowledge of software engineering best practices
- Strong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
- Understanding of the main deep-learning frameworks such as PyTorch, TensorFlow, Keras
- Experience with Linux and shell scripting and experience with LaTeX
- Solid understanding of traditional data science techniques and experience with data engineer pipelines for big data
- Solid knowledge of RNNs, and LSTMs models.
- Experience in big data platforms such as Databricks, AWS EMR, Sagemaker, Apache Glue, Spark, etc.
Responsibilities
- Develop and deploy machine learning models and generative AI capabilities.
- Design, code, test, and debug applications.
- Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc.
- Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy.
- Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols.
- Manage project lifecycle and software development deliverables.
- Collaborate with cross-functional teams to achieve common goals.
Other
- Collaborate with a team of innovators to develop AI/ML solutions.
- Bring your blend of technical proficiency and business acumen, enabling effective communication and collaboration with business stakeholders to achieve our shared organizational goals.
- Keep stakeholders informed on development progress and benefits.
- Solve complex problems and handle ambiguity with strong analytical skills.
- HR, Payroll, Incentive Compensation and other workforce related experience preferred.
