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Remote Machine Learning Finance Jobs in Chesapeake, VA

Booz Allen Hamilton, Inc.

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Suffolk,VA,US Share job via: Share Data ... You Have: * 2+ years of experience with artificial intelligence, data science, machine learning ...

Varsity Tutors

Business Analytics Tutor

Norfolk, VA · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... finance, and supply chain applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Alliance iCommunications

Vice President, Sales

Hampton, VA · On-site +1

$150K - $200K/yr

Support leadership in integrating AI/Machine Learning capabilities into the product roadmap and ... financial institutions * Proven history of winning multi-year, multi-million-dollar deals and ...

Booz Allen Hamilton, Inc.

DCIM Administrator

Hampton, VA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0242723 Location: Hampton,VA,US Share job via: Share DCIM ... Ability to collaborate with other analysts to deploy machine learning models and enable advanced ...

Booz Allen Hamilton, Inc.

DCIM Administrator

Hampton, VA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0243222 Location: Hampton,VA,US Share job via: Share DCIM ... Ability to collaborate with other analysts to deploy machine learning models and enable advanced ...

Sentara Healthcare

Cloud Architect Manager

Norfolk, VA · On-site +1

$63 - $80/hr

... financial, and operational priorities. • Lead the development of cloud architecture blueprints ... data lakes, data fabric, machine learning, mobile, and digital experience technologies.

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Remote Machine Learning Finance information

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How much do remote machine learning finance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote machine learning finance in Chesapeake, VA is $89,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $105,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What are popular job titles related to Remote Machine Learning Finance jobs in Chesapeake, VA?

For Remote Machine Learning Finance jobs in Chesapeake, VA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Finance jobs in Chesapeake, VA look for?

The top searched job categories for Remote Machine Learning Finance jobs in Chesapeake, VA are:

What cities near Chesapeake, VA are hiring for Remote Machine Learning Finance jobs?

Cities near Chesapeake, VA with the most Remote Machine Learning Finance job openings:

Remote Machine Learning Finance jobs near you

Data Scientist

Booz Allen Hamilton, Inc.

Suffolk, VA • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0245322
Location:
Suffolk,VA,US
Share job via:
Share
Data Scientist
The Opportunity:
Design and implement effective AI solution architecture utilizing approaches of various AI technologies and methods to address Marine Corps operational needs. Apply advanced technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members, as needed. Contribute to the direction of critical solutions by applying best-fit ML algorithms and technologies. Help your clients navigate the landscape of ML algorithms, tools, and frameworks.
You Have:
  • 2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics
  • Experience with software development or engineering, including in an academic or professional environment
  • Experience with big data technologies, such as Spark, Hadoop, or Databricks
  • Experience with a programming language, including Python, C#, or Java
  • Ability to create solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
  • Experience with embedded systems programming in C, C++, or Rust
  • Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
  • Ability to create software for retrieving, parsing, and processing structured and unstructured data
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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