Lead Data Scientist

Deloitte • Atlanta, GA • 8h ago

Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and working with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you!

The Team:

The GPS GSi group at Deloitte is dedicated to driving innovation and efficiency through advanced data science and business intelligence solutions. Our team collaborates closely with Enabling Area professionals to develop and implement cutting-edge machine learning, deep learning, and generative AI initiatives. We thrive in a dynamic environment where teamwork and independent problem-solving are key to achieving our strategic mission goals. Join us to be part of a small, agile team that is at the forefront of transforming decision-making processes and delivering impactful solutions.

Recruiting for this role ends on July 31st, 2025.

What You'll Do:

As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues.

Lead and participate in developing data science products, transforming client needs into quantifiable solutions.

Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions.

Design, train, and deploy machine learning and deep learning models on platforms like AWS, Databricks, and Dataiku.

Develop and advise on Large Language Model (LLM) solutions for enterprise-wide documentation, including RAG, CPT, and SFT.

Utilize MLOps pipelines, including containerization (Docker) and CI/CD, for training and deploying models.

Write clean, well-commented code for easy collaboration and maintain structured project documentation using GitHub and/or Jira.

Qualifications

Required skills:

Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field.

6+ years of experience in data science, with deep knowledge of Python, machine learning, deep learning, and related packages (e.g., sklearn, TensorFlow, PyTorch). Proven ability to lead data science projects from inception to deployment.

Strong knowledge of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

Familiarity with AWS, Databricks, and/or Dataiku platforms.

Working knowledge of MLOps, including containerization (e.g., Docker).

Strong organizational skills, with clear project documentation and the ability to write clean code.

Familiarity with agile project methodology and project development lifecycle.

Experience with GitHub for version control.

Ability to manage multiple detailed tasks and responsibilities simultaneously, meeting deadlines and objectives accurately.

Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Ability to travel 10%-25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred Skills:

Master's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field, or equivalent direct work experience.

Significant experience with MLOps and associated serving frameworks (e.g., Flask, FastAPI) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow).

Significant experience working with open-source LLMs, including serving via TGI/vLLM and performing Continued Pre-training (CPT) and/or Supervised Fine-tuning (SFT).

Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).

Proficiency in basic front-end web development (e.g., Streamlit).

Knowledge of Object-Oriented Programming (OOP) concepts.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $179,900

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

EAExpHire, EAGPS_ExpHire, #LI-JK2

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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