ADP is hiring a Data Scientist ENGINEER.

• Does the thought of working with one of the most comprehensive employment data sets excite you?
• Are you inspired by transformation and making an impact on internal ADP people collaborator and but also customers end users ?

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

In this role, you’ll acquire, clean, and analyze large data sets and do exploratory analysis to understand our data and check if it meets project requirements. Moreover, you’ll be developing data products to make predictions and recommendations within ADP products. It’s more than digits and dials – you’re making huge decisions, You are a real agent of change.

Every day you’ll work with stakeholders to identify, design, develop and implement advanced analytics projects that track the consumer conversion funnel from start to end. You’ll work with your team to provide, interpret, and predict necessary metrics for decision-making. You’ll code with machine learning tools like Python, Databricks and AWS to synthesize data sets into patterns that answer ad hoc requests. Generative AI is also a piece of the game.

To thrive in this career, you should have the knowledge of the whole data science project’s life cycle. You’ll need to have some formal education in quantitative analytics and know design patterns and data structures. You will collaborate with data scientists across ADP to solve various problems with different methodologies and analyses. Given the scale of our data sets and the complex problems we give you to solve, you will stay challenged and engaged with years of exciting projects ahead–all while growing your skills and progressing in a rewarding career.

Like what you see? Apply now!

Learn more about ADP at tech.adp.com/careers

A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more. Learn more about ADP’s commitment on our YouTube channel: http://adp.careers/DEI_Videos

WHAT YOU’LL DO:

Here’s what you can expect on a typical day:

• Support & coaching. you will be part of a team dedicated to AI projects, with experts in product, process and skills who will help you on a day-to-day basis and throughout the life of the various projects.
• Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating analytical problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations–this will set you up for success on Day 1.
• Manage Projects. Under the responsibility of Product Management, you will identify, design, develop, and implement advanced analytical projects.
• Research & Development. You design and implement start-of-the-art data products, machine learning models, and systems to optimize the HCM system user experience.You are passionate about learning and applying new techniques within data science that leads to innovations.
• Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to integrate actual and futures products and create services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovations.
• Collaboration and Communication. You’ll be part of a collaborative team, listening to needs, then finding and sharing solutions. You’re comfortable and skilled at presenting to both peers and leadership on your projects and findings. You collaborate with product, design, and engineering teams to plan, design, develop and deploy high-impact data products supporting multiple products across ADP.

TO SUCCEED IN THIS ROLE:

• You’ll have a Bachelor’s degree, Master’s Degree in Computer Science, Statistics, Engineering, Machine Learning or a related field.
• You have fluency in Python–including popular data science packages (pandas, sklearn, etc.), proficiency in SQL, notably writing and optimizing queries, and strong knowledge of data structures, algorithms, and methods used in the data science field.

Nice to have (optional):

• Knowledge of natural language processing
• Exposure to Jupyter notebooks, MLflow, and/or Databricks platform
• AWS cloud solutions (S3, Glue, Lambda, SageMaker)

YOU’LL LOVE WORKING HERE BECAUSE YOU CAN:

• Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another’s ideas to find the best solution.
• Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We’re obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
• Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
• Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
• Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP’s Philanthropic Foundation.
• Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.

What are you waiting for? Apply today!

Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY

(ADA version: https://youtu.be/IQjUCA8SOoA )