Search for Lead Data Scientist roles in Detroit, MI with a focus on machine learning and deep learning, requiring 6+ years of experience, for full-time positions, preferably in a fast-paced environment.

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Lead Data Scientist

Detroit, MI

Machine Learning

Deep Learning

6 years + Experience

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Lead Data Scientist role at Deloitte's GPS GSi group centers on leveraging advanced data science, machine learning, and deep learning to drive innovation and efficiency. The candidate is fundamentally tasked with transforming complex client needs into quantifiable data solutions, emphasizing a blend of collaboration and independent problem-solving in a dynamic environment. Key responsibilities include developing and maintaining data science products, designing and deploying machine learning models, and utilizing MLOps for effective model training and deployment. Success in this role hinges on not only technical expertise in programming and model development but also strong organizational skills to manage multiple projects, maintain clear documentation, and communicate effectively across teams. Candidates will likely face challenges in ensuring scalability and robustness of data solutions while adapting to fast-evolving technologies and methodologies. Within the first 6-12 months, performance is expected to manifest through successful project completions, timely deliveries, and contributions to team effectiveness and innovation strategies.

Company Analysis:

Deloitte stands as a leading global firm in consulting and professional services, dedicated to driving progress and empowering diverse talents. Its position as a market leader emphasizes a commitment to innovation, particularly in data-driven solutions. Given this backdrop, the culture at Deloitte is likely fast-paced and collaborative, fostering an environment where teamwork is essential to achieve strategic goals. The GPS GSi group, where this role is positioned, underscores the importance of staying at the cutting edge of technology, specifically around data science innovations. This role offers visibility, as it requires collaboration with various Enabling Area professionals and involves delivering impactful solutions that align with the company’s broader mission of enhancing decision-making across sectors. Hence, this move not only strengthens the firm's capabilities but also enables the candidate to contribute to high-stakes projects that directly influence client operations and success.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you had to lead a data science project from inception to deployment. What challenges did you face, and how did you overcome them?
1. Describe a situation where you had to work independently on a complex problem. How did you approach the issue, and what was the outcome?
1. Can you give an example of a time when your team faced a conflict? How did you mediate the situation to reach a resolution?
1. Share a past experience where you had to balance multiple tasks and deadlines. How did you prioritize your responsibilities?
Technical/Role-Specific Questions:
1. How would you approach designing and deploying a machine learning model using AWS? Could you outline the key steps?
1. Discuss your experience with developing Large Language Models. What are some challenges you have faced when implementing LLM solutions?
1. Can you explain what MLOps means to you and how you have applied it in previous projects?
1. How would you ensure that the code you write for collaborative projects remains clean and well-documented?
Situational Questions:
1. Imagine you are tasked with transforming a vague client requirement into a concrete data science solution. What steps would you take to clarify their needs and design an effective product?
1. If you were faced with a sudden change in technology stack mid-project, how would you handle the transition without disrupting the team's progress?
Company Fit/Motivation Questions:
1. Why are you interested in joining Deloitte specifically, and how do you see your skills aligning with its mission?
1. Based on what you know about our GPS GSi group, how do you believe your background in data science can contribute to our strategic objectives?
Questions for the Candidate to Ask the Interviewer:
1. Can you elaborate on the types of projects the GPS GSi group is currently working on that involve advanced data science solutions?
1. What does success look like in the first year for someone in the Lead Data Scientist position?
1. How does Deloitte support ongoing training and development in the rapidly changing field of data science?

Job Details

Overview Company

Lead Data Scientist

$97.6k/y-$179.9k/y

Deloitte

2 days ago

Highlight

HybridFull-time6+ yearsSenior

Summary

Deloitte is seeking a Lead Data Scientist to join their team in Detroit, MI. The role involves utilizing data science skills to drive machine learning, deep learning, and generative AI initiatives in a fast-paced environment.

About the Role

As a Lead Data Scientist, you will play a crucial role in developing and maintaining data science and business intelligence solutions. You will lead and participate in developing data science products, design, train, and deploy machine learning and deep learning models, and develop Large Language Model solutions. You will also utilize MLOps pipelines and write clean, well-commented code.

About You

Required:

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.
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.
Must be legally authorized to work in the United States without employer sponsorship.
Ability to travel 10%-25%.

Preferred:

Master's Degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field.
Significant experience with MLOps and associated serving frameworks and orchestration pipelines.
Significant experience working with open-source LLMs.
Experience using various AWS Services.
Proficiency in basic front-end web development.
Knowledge of Object-Oriented Programming (OOP) concepts.

Benefits

Discretionary annual incentive program.
Comprehensive benefits package.

Deloitte

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Detroit, MI