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Added 2 mins ago
Maximo Infrastructure Architect/Engineer
MaxAccelerate
Remote, United States
Infrastructure as code and scripting. Terraform, YAML and Bash or Python for provisioning, configuration and repeatable operational tasks.
Added 16 mins ago
SI
Software Engineer, Specs Lenses C++, Level 5
Specs Inc.
Los Angeles, CA · San Francisco, CA · Palo Alto, CA · Bellevue, WA
- $178,000 to $313,000 USD / year
We’re looking for a Software Engineer to join Lens Studio at Snap Inc!
Added 19 mins ago
Senior Specify Software Developer
University of Kansas
Lawrence, KS
We are searching for a software engineer to help us document the diversity of life on Earth. The ideal candidate values meaningful work contributing to a global mission that builds on 350…
Added 20 mins ago
Piping Superintendent - Simple Cycle - Oklahoma Job Details | Black & Veatch Family of Companies
Black & Veatch
Overland Park, KS
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
Added 20 mins ago
Piping Superintendent - Simple Cycle - Oklahoma
Overland Contracting
Overland Park, KS
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
Added 20 mins ago
T
Cloud Engineer
TEKsystems
Wichita, KS
- $55 to $65 USD / hour
The Cloud Engineer is responsible for designing, implementing, and supporting a hybrid cloud infrastructure spanning Microsoft Azure and Azure Local (Azure Stack HCI) on-premises…
Added 20 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Wichita, KS
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients' critical cyber assets. In this role, you…
Added 20 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Topeka, KS
…personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the…
Added 20 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Topeka, KS
As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
Added 20 mins ago
Senior Software Engineer – Splunk Platform Authorization
Cisco
Topeka, KS
Join Cisco’s Splunk Integrated Core Platform team and help shape the architecture behind the authorization infrastructure that powers Splunk’s enterprise observability and security platform.
Added 20 mins ago
Software Engineer – Splunk Platform Authorization
Cisco
Topeka, KS
Join Cisco’s Splunk Integrated Core Platform team, where we build and maintain the critical authorization infrastructure powering Splunk’s enterprise observability and security platform.
Added 20 mins ago
Senior Technical IT Storage Engineer
Highmark Health
Topeka, KS
…for contributing to our technical IT ecosystem that includes infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical IT…
Added 25 mins ago
SB
Full Stack Engineer*
San Bernardino County
San Bernardino County, CA
- $47.11 to $66.5 USD / hour
The Innovation and Technology Department is seeking a versatile and experienced Full Stack Engineer* to administer, integrate, customize, and support enterprise application platforms and…
Added 27 mins ago
AWS Cloud and Virtualization Engineer
Cognizant
Medford, OR
Cognizant is seeking a AWS Cloud and Virtualization Infrastructure Engineer for a full-time opportunity.
Added 40 mins ago
Senior AI Software Engineer
Credence Management Solutions LLC
ROME, NY
…Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor…
Added 41 mins ago
Desktop Applications Engineer, Duo Desktop
Cisco
Syracuse, NY
Write clean, testable code with unit and UI tests; perform code reviews for team members.
Added 41 mins ago
Junior Systems Engineer
Kaleida Health
BUFFALO, NY
Added 41 mins ago
Site Reliability Engineer
Highmark Health
Albany, NY
…engineering / IoT, healthcare delivery technology architecture, infrastructure and platform operations, and cybersecurity. Fosters a culture of automation, continuous improvement,…
Added 42 mins ago
Research Systems Administrator-HPC III
Weill Cornell Medical College
New York, NY
Experience with configuration management tools (Ansible, Puppet, etc.), infrastructure as code concepts and CICD-style deployment for platforms.
Added 42 mins ago
Workforce IAM Engineer
The College Board
NEW YORK, NY
…primary owner of College Board's enterprise IGA platform and PAM infrastructure, and it partners closely with Talent, ISGRC, and security peer teams to ensure identity services are…
Added 42 mins ago
Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting
EY
New York, NY
Forward Deployed Engineer – Applied AI - Senior Manager - Financial Services
Added 42 mins ago
Cloud Engineer 5
Capital One
New York, NY
4+ years of experience in CI/CD orchestration, Infrastructure-as-Code frameworks (e.g., Terraform, CloudFormation, Pulumi, Crossplane), and Automated Governance using Policy-as-Code DSLs…
Added 42 mins ago
Senior Manager, Full-stack Engineer (People Leader)-EDT
Capital One
New York, NY
4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
Added 42 mins ago
AE
Sr Software Engineer I
American Express
New York, NY
- $123,000 to $215,250 USD / year
American Express is looking for a highly skilled, hands-on Senior Java Software Engineer to join the Enterprise Identity Team , focused on delivering secure, scalable, and reliable Identity…
Added 43 mins ago
Backend Software Engineer Infrastructure, Foundations
Palantir Technologies
NEW YORK, NY
…Engineers. Each team focuses on a specific aspect of a product. Our infrastructure teams are responsible for the lowest layers of our software stack, often focused on database technologies,…

Closed listing

Deloitte

Data Scientist Engineer - SFL Scientific

Detroit, MI, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Jun 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 10/31/2026.

Work You'll Do

As a Data Scientist, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, to drive exploratory data and use case analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
Validate AI models and algorithm via code reviews, unit, and integration tests
Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

The Team

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications:

Required:

Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow
2+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
Live within commuting distance to one of Deloitte's consulting offices
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred:

2+ years of experience working in a client-facing, consulting environment
1+ 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, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.)
1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Strategy_2026

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

About employer

More about this job

Skills

Clinical trials
Data analysis
ML
Leadership
Research
Prioritization
Presentation skills
Work independently
Communication skills
Attention to detail
Interpersonal skills
Meet deadlines
Artificial intelligence
Decision making
Computer science
Python
PyTorch
Natural language processing
Deep learning
Kubernetes
Docker
Kubeflow
Mlflow
AWS
Microsoft Azure
Google Cloud
LangChain

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