Lead Data Scientist

ADP is hiring a 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?

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 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, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.

 

To thrive in this role, you'll 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 jobs.adp.com

 

WHAT YOU'LL DO:

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

• 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.
• 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.
• Experience. You have 8-12 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 HCM/HR domain is preferred but not required.
• You will have "solution architecture " thinking with ability to apply AI & ML technologies to solve complex problems.
• Extensive experience and advanced knowledge in Data Science, ML, ML Ops, Data Analytics with proven ability in training, testing and operationalizing models from complex data structures to solve complex business problems.
• Some experience and good understanding of LLMs like GPT, Llama, Mistral, Claude, Gemini, AWS Sonnet and managed services like AWS Sage maker, AWS Bedrock, Azure AI, Google Doc AI, Azure DI.
• Hands on experience in RAG, AI Agent development using frameworks like LangChain, LlamaIndex, Huggingface, Tensorflow.
• Extensive Prior experience in Python, R, SQL, distributed computing tools such as Data Bricks, Hadoop, Hive, or Spark; Oracle, Dynamo DB, Mongo.
• AWS cloud experience with ability to build serverless applications using Lambda, Step Functions, AWS API Gateway.
• Programming experience in Java, UI technologies like React is preferred but not required.
• Good understanding of non functional requirements like Security, Performance, Scalability, Observability.
• Ability to lead, mentor and coach junior data scientists and programmers.
• Strong comm