Search for Senior Data Scientist roles in Kansas City with a focus on artificial intelligence, requiring a Master's or Ph.D. in a STEM field, at consulting firms, and offering a salary range of $107,600 to $198,400.

Okay, I've searched for Senior Data Scientist roles in Kansas City, focusing on artificial intelligence, requiring a Master's or Ph.D. in a STEM field, at consulting firms, with a salary range between $107,600 and$ 198,400. I've found 45 positions that match your criteria.

Senior Data Scientist

Kansas City, MO

Consulting

Master's or Ph.D.

$107600+

$198400-

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

Sure. Here's the analysis:

Job Analysis:

The Senior Data Scientist role at SFL Scientific, a part of Deloitte, is fundamentally designed to lead the creation and execution of AI and machine learning strategies that directly address client needs. The key responsibilities involve defining data strategies, overseeing technical development, and driving client projects that require innovative solutions in complex sectors such as healthcare and technology. The successful candidate will engage deeply with client data sets to conduct exploratory analyses and develop models that meet operational requirements. This requires not just technical proficiency but also the ability to translate data insights into actionable business strategies, highlighting the necessity for both analytical and communication skills. Challenges in this role may include managing client expectations while navigating the ambiguity that often accompanies AI projects. Success will depend on the ability to validate and deploy AI models effectively, ensuring they're aligned with business objectives and deliver impactful outcomes. Moreover, the expectation to collaborate across teams reinforces the importance of fostering relationships with interdisciplinary professionals, which is crucial for delivering AI solutions that truly resonate with client challenges.

Company Analysis:

Deloitte occupies a prestigious position within the consulting space, recognized as a leader in enabling organizations to navigate their most pivotal moments. Its focus on integrating advice with actionable strategies highlights the company’s commitment to practical client solutions, an essential trait for any candidate stepping into this data scientist role. The culture at Deloitte seems to emphasize innovation, diversity, and integrity, reflecting an environment where unique ideas can flourish, particularly in the rapidly evolving realm of AI and data science. This suggests a work atmosphere that values agile thinking and fosters collaboration, essential for someone in a customer-facing, consultative role. The location in Kansas City offers the chance to contribute to a growing team with significant visibility, given the firm's size and clientele. The strategic alignment of this role is evident; it underpins Deloitte’s focus on leveraging AI to help clients enhance their operations. A successful integration into this position would not only advance personal career development but also support the firm's objectives of driving forward AI initiatives across various industries, especially in sectors like healthcare and technology where innovative data applications are profoundly impactful.

Mock up some interview questions based on the job description.

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

Tell me about a time when you had to lead a project involving AI/ML solutions and what challenges you faced.
Can you describe your experience with deploying machine learning models in production environments and any obstacles you encountered?
Give an example of a complex data analysis project you worked on. How did you ensure alignment with business objectives?
Describe a situation where you had to translate technical information to non-technical stakeholders. How did you approach it?
How would you approach building and validating a machine learning model for a new healthcare application?
What steps would you take to ensure that a deployed AI model meets performance standards and business impact?
If faced with conflicting requirements from different stakeholders in a client project, how would you prioritize tasks?
Imagine you're tasked with optimizing a pre-existing AI solution that is underperforming. What would your first steps be?
Why are you interested in working specifically with SFL Scientific as part of Deloitte?
How do your personal values align with Deloitte's commitment to integrity and delivering impactful client solutions?
What do you believe sets Deloitte apart from other consulting firms in terms of AI and data science services?
Can you ask about the tools and methodologies the team currently uses to undertake data science projects?
What opportunities for professional development does Deloitte offer for those in a data science role?

Job Details

Overview Company

Senior Data Scientist

$107.6k/y-$198.4k/y

Deloitte

8 days ago

Highlight

HybridFull-time3+ yearsSenior

Summary

Deloitte is seeking a Senior Data Scientist, Specialist Senior at SFL Scientific in Kansas City, MO. The role involves collaborating with clients to design and develop AI and data science 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 the next generation of AI tools and services. You will work closely with clients to understand their data and operational requirements, lead AI/ML solution delivery, and collaborate 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.

Kansas City, MO