Senior Lead Data Scientist

ADP is hiring a Senior Lead Data Scientist

• Does the thought of working with one of the most comprehensive employment data sets in the US excite you?
• Are you inspired by transformation and making an impact on the lives of millions of people every day?
• Are you a technologist first and foremost who approaches every problem wearing that hat while going out of your way to champion creativity and build diverse, productive, and engaged teams?

In this role, you'll acquire, clean, and analyze large data sets and do exploratory analysis to understand our data and if it meets project requirements. It's more than digits and dials - you're making huge decisions that impact millions of customers.

Every day you'll work with multiple 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 for planning and delivering data- and algorithm-driven services for onboarding client HR and financial data.

To thrive in this career, you should know how to identify errors and reactively fix them. You'll need to have some formal education in quantitative analytics and know design patterns and data structures. You have the skills to create new models using the technologies above. You will coach and mentor junior data scientists with different strengths to solve various problems with different methodologies and analyses. But 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:

• Advanced Machine Learning Engineering.Work with Data Scientists to deliver AI solutions to serve applications across ADP
• Own and Manage Projects. You will identify, design, develop, and implement advanced analytical projects.
• Limitless Possibilities.You will continue learning and discovering new ways to leverage ADP data to create new products and 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 have 4+ years of experience in relevant skills gained and developed in the same or similar role.

TO SUCCEED IN THIS ROLE:

• You'll have a Bachelor's degree OR equivalent.
• Prior experience in general programming language like Python
• Prior experience in Data Science, Machine Learning, NLP, or Knowledge Engineering
• Knowledge about RDBMS and experience with SQL, noSQL
• Knowledge about cloud platform like AWS, GCP, etc, AWS Preferred
• Code Version Control System like Git, Bitbucket, etc

Nice to have:

• Working experience with popular ML library/tools like Pytorch, Tensorfow, Sklearn, etc
• Familiar with docker container and container service like AWS ECS, AWS EKS, Kubernetes
• Knowledge of machine learning algorithms like regression, neural network, deep learning, xgboost, etc
• Prior experience building machine learning system including model training ,model inference, model monitoring, etc
• Knowledge of GenAI: LLM models, prompt engineering and RAG frameworks

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 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

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Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP's culture and our full set of values.