Lead ML Data Scientist - Vice President

Description

Join a dynamic team dedicated to creating innovative, cloud-centric solutions that transform employee experiences.

As a Lead Data Scientist within the Employee Platform’s 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)