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Data Scientist Bank Remote Jobs (NOW HIRING)

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Proven experience in data science or a related field. * Proficiency in programming languages such ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Solve ... Data Science * Statistics * Applied Mathematics * Computer Science * Operations Research

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... However, for the right fit, we may consider remote . Responsibilities: * Problem Identification:

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional travel to the client location is required. * Candidates might need to overlap with offshore on need ...

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

This is a remote position. Location: Remote (Nashville, TN strongly preferred) Job-Type: Full-Time Role Overview: We are looking for a full-time Data Scientist to join the Data Analytics team.

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

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Data Scientist Bank Remote information

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$37.5K

$122.7K

$196.5K

How much do data scientist bank remote jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data scientist bank remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in a remote banking role, and why are they important?

To thrive as a Data Scientist in a remote banking role, you need a strong background in statistics, data analysis, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like Certified Analytics Professional (CAP), is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across teams and explaining complex insights in a remote environment. These skills and qualities are essential for developing secure, data-driven solutions that support banking operations and drive business decisions from a distance.

What does a Data Scientist do at a bank in a remote role?

A Data Scientist working remotely for a bank analyzes large sets of financial and customer data to identify trends, build predictive models, and support strategic decision-making. Their tasks often include developing algorithms to detect fraud, improve risk assessment, personalize banking products, and optimize operations. Remote data scientists use tools like Python, SQL, and machine learning frameworks to collaborate with cross-functional teams virtually, ensuring security and compliance with financial regulations.

How does a remote Data Scientist at a bank typically collaborate with cross-functional teams?

As a remote Data Scientist in a banking environment, you will regularly collaborate with cross-functional teams such as risk management, IT, product development, and regulatory compliance. Communication is often facilitated through digital collaboration tools and regular virtual meetings, where you'll discuss project requirements, share insights from your analyses, and align on data-driven strategies. Successful remote collaboration requires proactive communication, clear documentation, and strong teamwork skills to ensure that data solutions are effectively integrated into banking operations and support business objectives.
More about Data Scientist Bank Remote jobs
What cities are hiring for Data Scientist Bank Remote jobs? Cities with the most Data Scientist Bank Remote job openings:
What states have the most Data Scientist Bank Remote jobs? States with the most job openings for Data Scientist Bank Remote jobs include:
Infographic showing various Data Scientist Bank Remote job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

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Re-posted 2 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 rated it services


Job description

The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This role involves collaborating with stakeholders to clarify requirements, develop and maintain analytical models, and transforming data into actionable insights. The contractor must be a proficient problem-solver, capable of working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support insider threat mitigation programs.

Work will be performed at the customer site in Springfield, VA. 

The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.

Duties May Include:

  • Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals.
  • Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency.
  • Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures.
  • Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams.
  • Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring.
  • Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Skills:

  • Education: A minimum of a Bachelor's Degree in Data Science, Statistics, Business, or a related field.
  • Experience: 6+ years Proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience.
  • Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies.
  • Experience in collaborating with stakeholders to clarify project needs and business objectives.
  • Familiarity with the concepts of analytical model development and maintenance.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment.
  • Proficiency in creating and editing visual content such as charts and graphs to represent data.
  • At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Desired Skills:

  • Experience supporting insider threat, risk scoring, or similar security-focused analytics programs.
  • Experience with policy development or process improvement initiatives.
  • Familiarity with GEOINT analysis software or Customer-specific applications.

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