Lead Data Scientist

ADP, Inc. is hiring Lead Data Scientists in our Roseland, NJ location.

 

• Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day?
• Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging?

 

Well, this may be the role for you!  Ready to design what’s next?

To thrive in this career, you’ll need to be enthusiastic, eager to learn, and take on stretch assignments.  You strive to learn new technologies and find ways to incorporate what you learn into building your results.  You’ll be curious, persistent, and at times persuasive.

As part of our team, you’ll find exciting challenges, get opportunities to grow your career, and develop solid friendships as we design what’s next for ADP and the industry.  Pace should not scare you. We still find time for a healthy dose of fun.

 

 

WHAT YOU’LL DO:                                                                        

• Build Teams that thrive. As an experienced leader, you want everyone to shine. You are constantly looking for ways to share your knowledge, motivate others, and keep everyone engaged and productive.
• Learning. You’re always learning new technologies and processes with tools and other training courses, conferences ADP offers, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things.
• Create Results. You’re proactive and hands-on.  When you see a potential issue, you never leave things hanging and unfinished. When you and your team deliver a finished product, it’s as polished as you could make it.
• Continuous Learning. You will actively collaborate with other associates to share ideas or show what you’ve learned.  You are eager to learn, keep up with ever-changing technologies, and maintain the ability to create the best tools for our clients.
• Variety of work. There is no typical day.  You could be checking in with a team in India one minute, meeting with leadership to review initiatives for the coming quarter later and tomorrow handling a few ad hoc requests from your peers in other departments.
• Influence and inspire confidence. You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements.
• Challenges. Inevitable challenges will arise, and we’ll rely on you to look for a solution.
• Responsibilities. Responsible for serving as an owner of the Retirement Services Analytics data with an understanding of data sources and connections to other data sources within ADP including sales and technology operations to assist build 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.

 

TO SUCCEED IN THIS ROLE:

• Education and Qualifications/Skills and Competencies. Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, or related field of study and six (6) years of related experience required. The company will also accept a Master's degree and four (4) years of related experience.
  
  

Telecommuting permitted.

• Work Experience. Two (2) years of experience must include: Programming languages, including Python, R or SQL; Data