Data Scientist

Job Description

About Deloitte:

Deloitte is a global professional services network, providing audit, consulting, financial advisory, risk advisory, tax, and related services. They are committed to making an impact that matters for their clients, their people, and in their communities.

Their diverse, equitable, and inclusive culture empowers their employees to contribute their unique perspectives and make a difference. Deloitte is known for its professional development opportunities, offering programs to help their employees build new skills, take on leadership opportunities, and connect with mentors.

Job Description:

Position Summary:

Deloitte is seeking a Data Scientist with a strong background in machine learning and deep learning to join their GPS GSi group. This role will play a crucial role in developing and maintaining their data science and business intelligence solutions, focusing on enhancing and expediting decision-making for Enabling Area professionals. The ideal candidate will be comfortable working independently and as part of a team, utilizing problem-solving skills to tackle complex issues.

Responsibilities:

• Participate in developing data science products that meet client needs, translating those needs into quantifiable data science solutions.
• Independently carry out tasks, using critical thinking and problem-solving skills to find practical solutions for unique challenges.
• Design, train, and deploy machine learning and deep learning models on AWS, Databricks, and Dataiku platforms.
• Develop and design large language model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.).
• Write clean, well-commented code for easy understanding and collaboration.
• Maintain structured documentation of project development stages, utilizing GitHub and Jira for version control and project management.
• Communicate effectively, providing expertise and breaking down complex analytical solutions for client understanding.
• Stay up-to-date on the latest industry trends and developments in data science, continuously learning and advancing the skillset of the Data Science team.
• Apply meticulous attention to detail and carefully review data science solutions for accuracy and quality.

Qualifications:

Required:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering, or other analytical field.
• 4+ years of experience in data science with deep knowledge and mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sci-kit-learn, TensorFlow, PyTorch).
• Strong knowledge of LLMs and RAG.
• Familiarity with AWS, Databricks, and Dataiku platforms.
• Excellent troubleshooting skills and the ability to work independently.
• Strong organizational skills with clear documentation of projects and the ability to write clean code.
• Familiarity with agile project methodology and project development lifecycle.
• Experience with GitHub for version control.
• Excellent communication and presentation skills, capable of explaining complex data science concepts to non-technical audiences.
• Ability to complete work within acceptable timeframes and manage various tasks and responsibilities simultaneously, meeting deadlines, goals, and objectives to satisfy internal and external customer needs.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Desired:

• Master’s Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field, OR comparable direct work experience.
• Experience with open-source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).
• Familiarity with MLOps, associated serving frameworks (i.e., Flask, FastAPI, etc.), and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow, etc.).
• Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).
• Knowledge of Object-Oriented Programming (OOP) concepts.

Compensation:

The wage range for this role is $88,600.00 – $163,100.00, taking into account factors like experience, skill sets, and organizational needs. You may also be eligible for a discretionary annual incentive program based on individual and organizational performance.