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Added 2 mins ago
Enterprise - Senior Software Engineer - Spring, Java, JavaScript
Erias Ventures, LLC
Columbia, MD
The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely…
Added 4 mins ago
Staff Data Engineer (CBP)
LMI
United States
Experience with cloud platforms, DevSecOps, and infrastructure as code.
Added 16 mins ago
Senior Cloud Security Engineer
Altera Corporation
San Jose, CA
The Senior Cloud Security Engineer is a hands-on technical lead responsible for designing, implementing, and improving security across the organization’s Microsoft Azure and Amazon Web…
Added 28 mins ago
DevOps Engineer
SAIC
Washington, DC
Familiarity with Infrastructure as Code practices and conﬁguration automation tools.
Added 32 mins ago
Software Engineer, Backend - Base Power Platform
Base Power Company
Austin, TX
- Own your services in AWS end to end: infrastructure as code, managed queues and databases, deployment, and observability.
Added 51 mins ago
Principal Front-End Engineer, Design Systems
Hewlett Packard Enterprise
Ft. Collins, CO
…through hands-on engineering, keeping design assets, production code, documentation, and supported integrations aligned as the shared architecture…
Added 57 mins ago
Senior Developer - Full Stack
Cydcor
Remote, United States
You do not need to be a Salesforce expert. You do need to be the kind of engineer other strong engineers want in the room: someone who picks up unfamiliar systems quickly, reasons about…
Added 1 hour ago
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Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform - including our web applications, back-end data pipelines,…
Added 1 hour ago
A
Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Middletown, NJ
- $155,400 to $261,100 USD / year
Our organization brings together reliability engineering, FinOps and infrastructure optimization, AI and automation enablement, and customer-centric business intelligence. We build reusable…
Added 1 hour ago
B&
Azure Cloud Engineer / Cloud Infrastructure Architect
Bucher & Christian Consulting Inc.
Jersey City, NJ
- $70.23 USD / hour
Job Title: Azure Cloud Engineer / Cloud Infrastructure Architect - Terraform & Security
Added 2 hours ago
Senior Full-Stack Engineer, Agent Management Platform
CrewAI
Remote, United States
…and govern AI agents in production. You'll make complex AI infrastructure feel understandable and usable, helping customers diagnose failures, review decisions, and stay in control of their…
Added 2 hours ago
C
Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
Hands-On Engineering: Serve as the technical lead for complex infrastructure, automation, and deployment efforts by designing solutions, troubleshooting production issues, developing…
Added 2 hours ago
Network Engineer SA 4.21
Credence
Wright-Patterson Air Force Base, OH
Credence has an immediate need for a Network Engineer at the journeyman level who will be primarily responsible for supporting the AFLCMC Air Force Security Assistance Directorate at Wright…
Added 2 hours ago
Cloud Platform Engineer
Credence
McLean, VA
This is a hands-on engineering role that supports the broader cloud hosting lifecycle. The position includes AWS infrastructure, Infrastructure as Code, CI/CD, container platforms,…
Added 2 hours ago
C
AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 2 hours ago
C
Senior AI Software Engineer
Credence
Rome, NY
- $155,000 to $200,000 USD / year
Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
Added 2 hours ago
C
Senior Data Engineer
Credence
McLean, VA
- $115,000 to $155,000 USD / year
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
Added 2 hours ago
C
Senior Data Engineer
Credence
Boston, MA
- $115,000 to $155,000 USD / year
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
Added 2 hours ago
C
Senior Data Engineer
Credence
Warner Robins, GA
- $115,000 to $155,000 USD / year
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
Added 2 hours ago
C
Senior Data Engineer
Credence
Wright-Patterson Air Force Base, OH
- $115,000 to $155,000 USD / year
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
Added 2 hours ago
C
AI Software Engineer
Credence
Tysons, VA
- $120,000 to $150,000 USD / year
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
Added 2 hours ago
C
Senior AI Software Engineer
Credence
Warner Robins, GA
- $155,000 to $200,000 USD / year
Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
Added 2 hours ago
C
Senior AI Software Engineer
Credence
Wright-Patterson Air Force Base, OH
- $155,000 to $200,000 USD / year
Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
Added 2 hours ago
C
Senior AI Software Engineer
Credence
Boston, MA
- $155,000 to $200,000 USD / year
Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
Added 2 hours ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
Contribute to Infrastructure as Code (Terraform, CloudFormation) under senior engineer guidance.

Closed listing

Deloitte

Senior Data Scientist Engineer - SFL Scientific

Indianapolis, IN, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: May 22, 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 Senior 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 101/31/2026.

Work You'll DoAs a Senior Data Scientist at SFL Scientific, 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, in order to drive exploratory 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 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
Lead 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 lead projects or workstreams
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 TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, 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 PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
3+ 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)
3+ 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
3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
3+ 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
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

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 $128,000 to $252,500.

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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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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