Lead Data Scientist

ADP•Roseland, NJ

5d•Remote

About The Position

ADP, Inc. is hiring Lead Data Scientists in our Roseland, NJ location. This role is for individuals who are empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day. The ideal candidate will be enthusiastic, eager to learn, and take on stretch assignments, constantly seeking to learn new technologies and find ways to incorporate them into building results. Curiosity, persistence, and persuasiveness are key traits. As part of the team, you will find exciting challenges, opportunities to grow your career, and develop solid friendships while designing what's next for ADP and the industry. The pace can be fast, but there is still time for fun.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, or related field of study and six (6) years of related experience.
OR Master's degree and four (4) years of related experience.
Two (2) years of experience must include: Programming languages, including Python, R or SQL; Data manipulation and modeling including Extract, Transform, Load (ETL), Linear and Logistic Regression Modeling, Decision Tree and Random Forest Modeling, and Churn Analytics; Big Data and cloud services (e.g., AWS); Data Visualization using tools and technologies including Tableau; and Building PowerPoint presentations and storytelling using data to executive leadership.

Responsibilities

Build Teams that thrive by sharing knowledge, motivating others, and keeping everyone engaged and productive.
Continuously learn new technologies and processes through training courses, conferences, and a 'learn as you go' approach.
Create polished and finished products by being proactive and hands-on, addressing potential issues without leaving things unfinished.
Actively collaborate with associates to share ideas and learnings, staying eager to learn and keep up with ever-changing technologies.
Handle a variety of work, including checking in with teams, meeting with leadership, and addressing ad hoc requests.
Influence and inspire confidence by presenting to senior leaders, product owners, and peers with a compelling voice, demonstrating executive presence, leading change, and creating clear executive-level communications.
Look for solutions to inevitable challenges.
Serve as an owner of the Retirement Services Analytics data, understanding data sources and connections to other ADP data (sales, technology operations) to assist in building capabilities with the Technology team.
Own the Monthly Strategy data process and accuracy for Retirement Services (RS) with the Field Enablement and Global Technology organization.
Assist in evaluating data sources and connections to RS data.
Design and build statistical and machine learning models, including regression, clustering, and decision trees, to identify main drivers of sales, efficiency, and client experience-related metrics.
Create data dashboards/visualizations and presentations to highlight findings and recommendations.
Extract, merge, clean, and normalize statistical data sources for analytical studies.
Implement statistical tracking methods to measure the business impact of recommendations.
Identify key drivers of business metrics to provide recommendations to improve client experience and business outcomes.