Senior Lead Data Scientist
@ ADP

Alpharetta, Georgia, United States
On Site
Full-time
Posted 17 days ago

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Job Details

Overview

ADP is hiring a Senior Lead Data Scientist. In this role, you will work with one of the most comprehensive employment data sets in the US to drive insights that impact millions of customers.

Key Responsibilities

  • Acquire, clean, and analyze large data sets.
  • Perform exploratory analysis and predictive modeling using Python, R, and Scala.
  • Design, develop, and implement advanced analytics projects.
  • Create visualizations using Tableau and interpret metrics.
  • Mentor and coach junior data scientists and programmers.

What You'll Do

You will collaborate with multiple stakeholders to track the consumer conversion funnel from start to finish. Your day-to-day activities include developing models and applying AI & ML techniques to solve complex business problems. You will also own project management and continuously seek innovative ways to utilize ADP data for new products and services.

Qualifications & Requirements

  • 8-12 years of relevant experience in data science and advanced analytics.
  • Bachelor's degree or equivalent in a quantitative field.
  • Expertise in Python, R, SQL, and distributed computing tools (Data Bricks, Hadoop, Hive, Spark).
  • Experience with machine learning tools, LLMs and frameworks such as LangChain and Huggingface.
  • Familiarity with cloud services (AWS, Azure) for serverless application development.

Working at ADP

At ADP, you will enjoy courageous team collaboration, the opportunity to deliver results at epic scale, and a culture that values learning, growth, and community contributions. This position is a hybrid role, offering flexibility in work arrangement.

Key skills/competency

Senior Lead Data Scientist, data analysis, predictive modeling, Python, machine learning, mentoring, advanced analytics, AI, cloud computing, data visualization

How to Get Hired at ADP

🎯 Tips for Getting Hired

  • Research ADP's culture: Understand their mission, values, and projects.
  • Customize your resume: Highlight data science and ML expertise.
  • Emphasize technical skills: Showcase proficiency in Python, R, and SQL.
  • Prepare for interviews: Practice problem-solving and scenario questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python and R libraries.
Practice SQL and data manipulation.
Study machine learning algorithms.
Familiarize with cloud service setups.

Behavioral Questions

Describe a past project challenge.
Explain team conflict resolution methods.
Discuss leadership in mentoring juniors.
Share effective stakeholder communication examples.

Frequently Asked Questions