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Senior DevOps Engineer, Observability and FinOps
CACI International
Reston, VA
This engineer makes mission systems visible and their costs accountable, on networks that cannot call out to the internet. The role blends platform engineering (Kubernetes/OpenShift,…
Added just now
Senior Data Scientist Engineer - SFL Scientific
Deloitte
McLean, VA
…optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the…
Added just now
Data Scientist Engineer - SFL Scientific
Deloitte
McLean, VA
…optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the…
Added just now
Full-Stack Engineer 4 (Python, Java, AWS)
Capital One
McLean, VA
3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
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Front-end Engineer 5
Capital One
McLean, VA
…HTML, CSS/SCSS, and advanced content management systems. As an engineer on this team, you will dive into a robust, cloud-hosted environment with an emphasis on rigorous testing,…
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Google Infrastructure and Security Lead Architect
Deloitte
McLean, VA · Richmond, VA
Standardize and automate the deployment of cloud infrastructure using Terraform. Develop modular, reusable infrastructure code to ensure consistent, repeatable, and auditable environment…
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HPC AI Solution Architect (S2S)
Deloitte
McLean, VA · Richmond, VA
As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for…
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Cloud Engineer 5
Capital One
McLean, VA · Richmond, VA
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…
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Integration Engineer 5 - Payment Network Partner Experience
Capital One
McLean, VA · Richmond, VA
As an Integration Engineer in the Global Payment Network (GPN), you will leverage your technical acumen, domain knowledge, and strategic architecture vision to shape how our clients…
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Director, AI Engineer (Remote Eligible)
Capital One
McLean, VA · Richmond, VA
…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…
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Senior Manager, Full-stack Engineer-People Leader
Capital One
McLean, VA · Richmond, VA
4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
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Full-stack Engineer 4, Tech College Engineering
Capital One
Richmond, VA · McLean, VA
3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
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Senior Manager, Full-stack Engineer (People Leader)-EDT
Capital One
McLean, VA · Richmond, VA
4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
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Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
McLean, VA · Richmond, VA
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…
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Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Richmond, VA · Rosslyn, VA · McLean, VA
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…
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Power Distribution Designer/Engineer
MasTec Advanced Technologies
RICHMOND, VA · ARLINGTON, VA · ALEXANDRIA, VA
…management professionals, the company delivers best-in-class infrastructure solutions, including design, asset integrity management, feasibility studies, surveys, constructability reviews,…
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Senior Technical IT Storage Engineer
Highmark Health
Richmond, VA
…for contributing to our technical IT ecosystem that includes infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical IT…
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Site Reliability Engineer
Highmark Health
Richmond, VA
…engineering / IoT, healthcare delivery technology architecture, infrastructure and platform operations, and cybersecurity. Fosters a culture of automation, continuous improvement,…
Added 1 min ago
Axonius Platform Systems Engineer
BOOZ, ALLEN & HAMILTON, INC.
Reston, VA
Experience with Infrastructure-as-Code or automation frameworks such as Ansible or Terraform
Added 10 mins ago
AT
Senior Azure Cloud Architect
AHU Technologies Inc
Washington, DC
- $80 to $85 USD / hour
…well-governed environments for and partner agencies, delivers infrastructure through code, plans and executes workload migrations, and provides architectural oversight for Azure Virtual…
Added 10 mins ago
AT
Senior Developer - D365/Power Platform/Azure
AHU Technologies Inc
Washington, DC
- $88 to $93 USD / hour
…commercial cloud. The Resource will personally write complex code, own CI/CD and Power Platform ALM end to end, gate quality through pull request review, run the production support and…
Added 10 mins ago
Staff Software Engineer
Raydar
San Francisco, CA
…on a small product engineering team, writing and reviewing code every day while guiding more junior engineers. The work covers building customer-facing features across the full stack,…
Added 22 mins ago
Site Reliability Engineer
Highmark Health
Raleigh, NC
…engineering / IoT, healthcare delivery technology architecture, infrastructure and platform operations, and cybersecurity. Fosters a culture of automation, continuous improvement,…
Added 22 mins ago
ND
Gen AI Senior Engineer
NTT Data Americas, Inc.
Charlotte, NC
- $65 to $75 USD / hour
Minimum 5+ years of experience utilizing modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), and Infrastructure as Code (Terraform, ARM/Bicep)
Added 22 mins ago
M
Lead AI Engineer
ManpowerGroup
Charlotte, NC
- $75 to $85 USD / hour
Our client, an innovative technology organization, is seeking a Lead AI Engineer to join their team. As a Lead AI Engineer, you will be part of the AI Engineering group supporting the…

Closed listing

Deloitte

Data Scientist Engineer - SFL Scientific

Portland, OR, United States

This opening has closed.

The original listing is kept below for reference.

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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.

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