Search for Senior Data Scientist roles in San Francisco, focusing on AI/ML projects, with 3+ years of experience, requiring a Master's degree, and preferably involving cloud environments.

Okay, I've searched for Senior Data Scientist roles in San Francisco that focus on AI/ML projects, require at least 3 years of experience, necessitate a Master's degree, and preferably involve cloud environments. I have found 75 positions for you.

Senior Data Scientist

San Francisco, CA

3 years + Experience

Master's

AI/ML

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's Strategy & Transactions team, is fundamentally about harnessing data to drive business transformation and support clients through critical initiatives. This position requires the candidate to define data strategies and design solutions that not only fulfill immediate client needs but also lay the groundwork for sustainable growth and innovation. Key responsibilities will include exploratory data analysis, model development, and the deployment of AI/ML solutions, all of which require a blend of technical proficiency and strategic thinking. Success will depend on the ability to navigate complex client challenges, ensuring that delivery aligns with both technical excellence and business objectives. Specifically, the candidate will face tasks like collaborating across teams to execute multi-faceted projects in various industries, necessitating a proactive approach to problem-solving and a solid understanding of AI/ML nuances that can translate into meaningful business outcomes.

Company Analysis:

Deloitte stands as a global leader in professional services, positioned at the intersection of strategy, technology, and deep industry expertise. The company's commitment to driving progress is evident in its focus on impactful, client-centered solutions that prioritize innovation and strategic transformation. This role in particular is not just a technical position but a strategic one, involving significant engagement with clients to identify and implement AI solutions that enhance business operations. Deloitte's culture seems to embrace diversity, teamwork, and excellence, suggesting an environment that values collaboration and the pursuit of knowledge. This fast-paced and innovative atmosphere will appeal to individuals who thrive on challenge and are willing to adapt quickly to new developments in AI and machine learning. Additionally, the role directly contributes to Deloitte's overarching goals of helping organizations navigate their most pressing challenges—making the commercial impact of this position significant. Given the company's emphasis on professional development, candidates can expect opportunities for growth and continuous learning.

Mock up some interview questions based on the job description.

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

Can you describe a project where you had to employ a novel AI/ML approach to solve a complex problem? What was your thought process?
Tell me about a time when you collaborated with interdisciplinary teams to deliver a project. How did you ensure everyone was aligned?
Explain a situation in which you had to validate an AI model. What steps did you take to ensure its effectiveness?
Describe a time when you faced a challenge while deploying a machine learning model in a production environment. How did you overcome it?
How would you approach defining a data strategy for a client in the healthcare industry looking to improve patient outcomes?
What is your experience with using cloud environments like AWS or GCP for deploying AI workloads? Can you provide a specific example?
Imagine you are tasked with leading a project that involves using LLM/GenAI for a client; what initial steps would you take?
You are presented with a dataset that has inconsistencies. How would you approach exploratory data analysis in this scenario?
What motivates you to work at Deloitte specifically, and how do you see yourself contributing to our mission?
How do your personal values align with Deloitte's emphasis on integrity and boosting societal strengths?
What questions do you have about the collaborative structure here at SFL Scientific, and how it affects project outcomes?
Can you discuss any experiences you have with client-facing roles in a consulting environment? What did you learn?
How do you keep abreast of advancements in AI and machine learning, and how do you apply this knowledge to your work?

Job Details

Overview Company

Senior Data Scientist

$107.6k/y-$198.4k/y

Deloitte

14 days ago

Highlight

HybridFull-time3+ yearsSenior

Summary

Deloitte is seeking a Senior Data Scientist, Specialist Senior at SFL Scientific in San Francisco, CA. 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 providing thought leadership. The role includes researching novel machine learning approaches, validating AI models, and collaborating with interdisciplinary teams to align solutions with business objectives.

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.
Live within commuting distance to one of Deloitte's consulting offices.

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 (i.e., LangChain, LangGraph, MCP, etc.).
1+ year of experience with AWS Sagemaker or AWS ML Studio.

Benefits

Discretionary annual incentive program based on individual and organizational performance.
Comprehensive benefits package including medical, dental, and vision coverage.

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.

San Francisco, CA