JPMorganChase is looking to tackle complex business challenges within the Employee Platform’s Innovation Studio Team by enhancing employee experience and operational efficiency in areas such as workforce, payroll, and compensation through advanced machine learning and generative AI techniques.
Requirements
- Expertise in statistical software packages and data tools, including Python and SQL
- Proficiency in advanced statistical methods and concepts, predictive modeling, time series forecasting, and text mining
- Skilled in data mining & visualization
- Robust knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
- Competent with deep-learning frameworks such as PyTorch, TensorFlow, or Keras
- Ability to leverage traditional data science techniques and experience with data engineer pipelines for big data
- Knowledge of RNNs, and LSTMs models
Responsibilities
- 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
- Own projects, manage stakeholders, and develop projects from inception to completion, encompassing tasks such as gathering detailed requirements, data preparation, model creation, result generation, and data visualization
- Develop and deploy machine learning models and generative AI capabilities
- Design, code, test, and debug applications
- Lead, mentor, and develop a team of technical professionals
- Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols
Other
- Communicate and interface with senior stakeholders, leveraging analytical skills and business acumen to drive impactful results that inform strategic decisions
- Commit to iterative development, engaging and updating stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle
- BS Degree in a scientific field (Computer Science, Operations Research, etc.) and 7+ years of experience producing advanced analytics work
- Efficient storytelling capabilities, including communicating complex concepts into digestible information for audiences of varying levels in the organization.
- HR, Payroll, Incentive Compensation and other workforce related experience preferred
