Lead ML Data Scientist - Vice President
Lead ML Data Scientist - Vice President
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Job Description
Join a dynamic team dedicated to creating innovative cloud-centric solutions that transform employee experiences.
As a Lead Data Scientist within the Employee Platforms Innovation Studio Team you will be a key contributor working closely with the Workforce Business and Technology team to tackle complex business challenges. You will employ advanced machine learning and generative AI techniques utilizing a big data approach to enhance employee experience and operational efficiency in areas such as workforce payroll and compensation. Your expertise in data science will be crucial in developing innovative solutions and tools that deliver significant results across the organization. Success in this role requires a combination of technical proficiency business insight effective communication and collaboration with senior stakeholders to achieve our organizational objectives.
Job Responsibilities:
- 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
- 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
Required Qualifications Capabilities and Skills:
- BS Degree in a scientific field (Computer Science Operations Research etc.) and 7 years of experience producing advanced analytics work
- 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
- Efficient storytelling capabilities including communicating complex concepts into digestible information for audiences of varying levels in the organization.
- Committed to iterative development updating stakeholders ensuring alignment feedback incorporation and transparency throughout the project lifecycle
Preferred Qualifications Capabilities and Skills:
- Masters or PHD in a related field.
- HR Payroll Incentive Compensation and other workforce related experience preferred
- Experience in big data platforms such as Databricks AWS EMR Sagemaker Apache Glue Spark etc
- Experience/understanding of cloud storage (Object Stores like S3 Blob; NoSQL like Columnar Graph databases)
Required Experience:
Chief
Employment Type
Full-Time
