Lead Data Scientist

ADP Technology Services, Inc. is hiring a Lead Data Scientist in our Roseland, NJ location.

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.

• 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 formulating analytical problems, extracting and analyzing data from multiple systems, summarizing critical findings and insights, and developing compelling visual representations of analyses with actionable recommendations. Acquire, clean, and analyze large data sets and conduct exploratory analyses to derive meaningful patterns. Participate in Generative Artificial Intelligence (AI) initiatives, discovering innovative ways to leverage ADP data to create new software products and services, and apply emerging techniques within data science.
  
  Leverage expertise in Retrieval-Augmented Generation (RAG) architecture, including retrieval models, generative models, and their interaction, to generate accurate and informative outputs. Evaluate and analyze RAG systems using performance metrics such as precision, recall, and F1 score. Apply advanced statistical and data mining techniques, including GLM/Regression, Random Forest, Boosting, Decision Trees, text mining, neural networks, deep learning, and social network analysis, to identify, design, develop, and implement complex analytical projects.

• Education and Qualifications/Skills and Competencies. Bachelor’s degree in Data Science, Mathematics, Economics, Computer Science, or related field of study plus five (5) years of related experience required. The company will also accept a Master’s degree and three (3) years of related experience.

• Work Experience. Two (2) years of experience must include:
  Python and Jupiter Notebooks;
  Building NLU/NLP machine learning models;
  Modern language models (BERT, GPT, MPNET);
  Develop and provide technical leadership in the development of scalable micro-services in Python using Flask or other frameworks;
  Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, neural networks, deep learning social network analysis;
  Machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)…