Data Scientist

Deloitte Digital; United States; Remote; USD 97,000 - 180,000; Full time

Job summary

An established industry player is seeking a Data Scientist to enhance decision-making through innovative data science solutions. In this role, you will develop and deploy machine learning and deep learning models, implement MLOps pipelines, and communicate complex analytical solutions effectively. The ideal candidate will have a strong background in Python and data science, with experience in AWS and relevant tools. Join a forward-thinking team dedicated to sustainability and equity, where your contributions will drive impactful change in the industry. If you are passionate about data and technology, this opportunity is perfect for you.

Qualifications

• 6+ years of experience in data science with mastery of Python and relevant packages.
• Strong knowledge of LLMs and experience leading projects from inception to deployment.

Responsibilities

• Lead development of data science products tailored to client needs.
• Design and deploy machine learning models on AWS and Databricks.

Skills

Python

Machine Learning

Deep Learning

Data Science

Problem-Solving

Communication Skills

Education

Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering

Master’s Degree in relevant fields

Tools

AWS

Databricks

Dataiku

Docker

GitHub

Jira

Job description

Deloitte is a global professional services network specializing in audit, consulting, financial advisory, risk management, and tax services. Known for fostering a diverse, equitable, and inclusive culture, Deloitte empowers its employees to make impactful contributions. The firm is committed to advancing sustainability, equity, and trust through its work.

Job Description: Data Scientist

Position Summary:

This role is within the GPS GSi group at Deloitte, focusing on developing and maintaining data science and business intelligence solutions. The candidate will create and deploy machine learning, deep learning, and generative AI initiatives to enhance decision-making for Enabling Area professionals. The position requires expertise in data science, independence, and strong problem-solving skills.

Responsibilities:

1. Data Science Product Development: Lead or participate in developing data science products tailored to client needs, translating requirements into actionable data science solutions.
2. Independent Problem-Solving: Execute tasks independently, applying critical thinking to solve unique challenges effectively.
3. Model Design and Deployment: Design, train, and deploy machine learning and deep learning models on AWS, Databricks, and Dataiku platforms.
4. LLM Development and Consultation: Develop and advise on Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), and Supervised Fine-tuning (SFT).
5. MLOps Implementation: Implement MLOps pipelines, utilizing containerization (Docker) and CI/CD practices for model training and deployment.
6. Code Development: Write clean, well-commented code to facilitate collaboration and understanding.
7. Project Documentation: Maintain detailed documentation of project stages, using tools like GitHub and Jira for version control and project management.
8. Communication and Expertise: Communicate complex analytical solutions effectively to clients and team members.
9. Industry Knowledge: Stay updated with industry trends in data science and related fields, continuously enhancing skills.
10. Quality Assurance: Ensure accuracy and quality in data science solutions through meticulous review.

Qualifications:

Required:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering, or related analytical field.
• 6+ years of experience in data science, with mastery of Python, machine learning, deep learning, and relevant packages (e.g., sklearn, TensorFlow, PyTorch).
• Experience leading data science projects from inception to deployment.
• Strong knowledge of LLMs and RAG.
• Familiarity with AWS, Databricks, Dataiku, and MLOps tools like Docker.
• Excellent troubleshooting, organizational, documentation, and communication skills.
• Ability to work independently and manage multiple tasks efficiently.
• Legal authorization to work in the United States without sponsorship.

Preferred:

• Master’s Degree in relevant fields or equivalent experience.
• Experience with MLOps frameworks, open-source LLMs, AWS services, front-end development, and OOP concepts.

Compensation:

Estimated range: $97,600 - $179,900 per year, with potential eligibility for a discretionary annual incentive.

Note:

This overview provides detailed information about the Data Scientist role at Deloitte, including company background, responsibilities, and qualifications.