Lead Data Scientist – Payroll

Key Skills

Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, AWS Sagemaker, Data science techniques, Database, HuggingFace, Lambda, LangChain, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, PyTorch, SQL, TensorFlow

Job Description

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 8-10 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 that would give extra comfort in the role could include:

o Natural Language Processing (NLP) frameworks such as PyTorch, TensorFlow,

Hugginface Transformers, etc

o Dataframe and dataset tools, such as Pandas, PyArrow, Hugginface Datasets

o Prompt engineering and prompt engineering tools such as LangChain

o Relational databases & SQL concepts

o AWS services (SageMaker, Lambda, Glue, EC2, CloudWatch, etc)

o Machine learning packages with modern programming languages (preferable Python)

such as Sklearn, Pandas, Numpy, Matplotlib

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 )

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP affirms that inequality is detrimental to our associates, our clients, and the communities we serve. Our goal is to impact lasting change through our actions. Together, we unite for equality and equity. ADP is committed to 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, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.