Lead Data Scientist

About the position

ADP is hiring a Lead Data Scientist. In this role, you will work with teams to develop and apply machine learning to digitally transform our business processes and the client experience of ADP's products and solutions. You will collaborate with our machine learning engineers and software engineers in solving real-world business challenges using advanced machine learning techniques. You'll be accountable for something significant: products that impact people's lives. No two days are the same. Everyday projects range from deep learning, research & development, algorithm development, natural language processing to deployment of ML models to productions. To thrive in this career as a Lead Data Scientist for the Global Payroll team, you have the skills to design and implement Machine Learning systems using languages, frameworks, and tooling such as Python, AWS and Databricks in collaboration with the other team members. You should have experience building models in the areas such as natural language processing, deep learning, classification algorithms or recommender systems.

Responsibilities

• Advanced Analytics & Predictive Modeling: Formulate analytical problems, extract & analyze data from multiple systems, summarize critical findings/insights, and develop a compelling visual representation of analyses with actionable recommendations.
• Own and Manage Projects: Identify, design, develop, and implement advanced analytical projects.
• Limitless Possibilities: Continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights.
• Collaboration and Communication: Work as part of a collaborative team, listening to needs, then finding and sharing solutions, and presenting to both peers and leadership.

Requirements

• Minimum of a bachelor's degree (OR equivalent) in Computer Science, Engineering, Math, or a related field. Masters preferred.
• 5-7 years of experience in relevant skills gained and developed in the same or similar role.
• Advanced English language speaker.
• Fluency in Python including popular data science packages (pandas, sklearn, etc.), strong knowledge of data structures, algorithms, and methods used for data science and machine learning.
• Familiarity with natural language processing.
• Experience with generative and embedding models as well as deep learning frameworks such as Pytorch.
• Experience with non-relational databases such as NoSQL and Vector databases.
• Experience with the Databricks platform, MLflow, and/or Jupyter notebooks.
• Understanding of data products (recommender systems, classifiers, chatbots, etc.).
• Experience with AWS cloud solutions (S3, Glue, Lambda, Step, SageMaker) and CI/CD tools such as Jenkins.

Benefits

• Courageous team collaboration.
• Deliver at epic scale.
• Surrounded by curious learners.
• Act like an owner & doer.
• Give back to others.
• Join a company committed to equality and equity.