Search for Senior Data Scientist roles in Chicago, with 3+ years of experience in AI/ML, expertise in Python and cloud environments like AWS, and preference for full-time positions.

Okay, I've found 65 Senior Data Scientist positions in Chicago that match your criteria of having at least 3 years of AI/ML experience, proficiency in Python, familiarity with AWS, and are specifically for full-time roles. You can browse through these opportunities now.

Senior Data Scientist

Chicago, IL

3 years + Experience

Python

AWS

Full Time

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

Sure. Here's the analysis:

Job Analysis:

The role of Senior Data Scientist at SFL Scientific, a Deloitte business unit, positions the candidate as a pivotal contributor to the intersection of data science and consulting. The primary purpose of this position is to design and develop innovative AI solutions that address complex problems across various industries, particularly in healthcare and technology. Responsibilities such as defining data strategies and driving technical development are not merely operational; they involve deep client engagement, requiring the candidate to understand nuanced data sets and operational needs thoroughly. Success in this role entails not only technical prowess in AI and machine learning but also the ability to translate complex data insights into practical, business-oriented solutions that deliver measurable impact. Candidates will face challenges in ensuring model robustness and relevance in dynamic environments, navigating both high-level strategy and granular technical development. This balance will define performance metrics, with success likely measured by the effectiveness of solutions implemented and the satisfaction of clients within the first 6 to 12 months.

Company Analysis:

Deloitte operates at the forefront of professional consulting, serving as both a trusted advisor and a leader in the realms of strategy and transformation. Positioned within a competitive and rapidly evolving landscape, Deloitte maintains its status as a market leader, continually investing in talent and innovation. The company’s emphasis on diverse skills and backgrounds suggests a culture that values collaboration and forward-thinking approaches, ideal for someone in a role that requires interdisciplinary communication and teamwork. This environment is fast-paced and client-oriented, meaning that the Senior Data Scientist must be adaptable and responsive to client needs while contributing to longer-term strategic initiatives. The individual will likely enjoy considerable visibility within the organization, collaborating closely with senior executives and industry experts. The integration of AI into various sectors signifies that this role is not only a driver of internal capabilities but also essential to Deloitte’s broader ambitions of transforming client operations through technology, underlining the strategic importance of this hire.

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 explain a complex data analysis result to a client. How did you ensure they understood the implications?
1. Describe a situation where you had to overcome a significant obstacle while working on a data science project. What was your approach?
1. Can you provide an example of a client engagement where your insights led to a measurable change in their strategy?
1. How do you prioritize tasks when faced with multiple deadlines on a project?
Technical/Role-Specific Questions:
1. Can you walk us through your approach to deploying and optimizing a machine learning model in a production environment?
1. Describe your experience with tools like Kubernetes and Docker in managing AI solutions. How have you utilized these tools in past projects?
1. How would you handle a situation where a deployed AI model begins to underperform? What steps would you take?
1. Explain your experience with developing LLM or Generative AI solutions. Can you share a particular use case you worked on?
Situational Questions:
1. Imagine you are tasked with leading a project that requires integrating data from disparate sources for AI analysis. How would you initiate this process?
1. If a client expresses skepticism about the ROI of an AI solution you proposed, how would you address their concerns?
Company Fit/Motivation Questions:
1. Why do you want to work specifically for Deloitte and SFL Scientific in the data science space?
1. How do you see your values aligning with Deloitte's mission of driving client progress and societal impact?
Questions for the Candidate to Ask the Interviewer:
1. What are some current challenges that the AI team at SFL Scientific is facing?
1. How does Deloitte measure the success of data science initiatives within client organizations?
1. Can you share more about the opportunities for professional development and collaboration within the team?

Job Details

Overview Company

Senior Data Scientist

$107.6k/y-$198.4k/y

Deloitte

5 days ago

Highlight

HybridFull-time3+ yearsSenior

Summary

Deloitte is seeking a Senior Data Scientist, Specialist Senior at SFL Scientific in Chicago, IL. The role involves collaborating with clients to design and develop AI-driven projects and solutions.

About the Role

As a Senior Data Scientist at SFL Scientific, a Deloitte Business, you will define data strategy, drive technical development, and create next-generation AI tools and services. You will work closely with clients to understand their data and operational needs, leading AI/ML solution delivery, and collaborating with interdisciplinary teams on novel projects such as cancer detection and drug discovery.

About You

Required:

Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.).
3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.).
3+ years of experience applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects.
3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow.
3+ years of experience leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads.
Ability to travel 10%, on average.

Preferred:

2+ years of experience working in a client-facing, consulting environment.
2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions.
1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services.
1+ year of experience with AWS Sagemaker or AWS ML Studio.

Benefits

Discretionary annual incentive program based on individual and organizational performance.

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.

Chicago, IL