13 Data Analysis jobs in Arlington

Manager, Data Analysis -Compliance Testing

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications:

• Currently has, or is in the process of obtaining a:

• Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or

• Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $180,800 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Scope of Work

The candidate will be responsible for completion of assigned duties and report to the Team Lead. The incumbent is expected to perform the following functions:
• Analyze data and reporting requirement for various facets of post-execution activities for fixed income (fixed and floating rate bonds, MBS, ABS), derivatives (futures, options, swaps), and cash products (repo, Money-market, FX).
• Must be able to independently analyze current reports to understand them in conjunction to the new data semantics and document the updated requirements.
• Work with IT teams to facilitate design solutions that meet business needs.
• Use analytical skills to learn users' business processes, document the data and report needs and suggest long term solutions.
• Develop test plans and conduct testing to ensure reports meet business requirements
• Maintain regular communication with stakeholders to provide updates and gather feedback.

4. Skill Set Requirements
• Experience with programing, quantitative, and analytical skills, including with Cloud, Dremio will be a plus.
• Familiarity with business-related IT development or IT technology projects, also with user acceptance testing and its related documentation. Previous exposure to FinTech related knowledge is preferred.
• Experience and knowledge of Capital & Investment Markets and Portfolio Performance Measurement and Attribution.
• Understanding of Murex data and ability to analyze requirement for end user reports.
• High-quality analysis and clear documentation of business requirements
• Adherence to project timelines and milestones is a must.
• Proven conceptual, analytical, and judgmental skills. Excellent oral and written communication skills

5. Qualifications

A degree in Information Technology, Business Administration, Finance or a related field.

6. Additional information

This position requires flexibility and initiative. Candidates should be self-starters who enjoy working with an international team of people. Candidates must be able to multi-task their workload assignments. Candidates must be fluent in spoken and written English, have strong writing and communication skills, and be team players.

Primary Skill:
Various streams of market data come from different vendors like Reuters / Bloomberg into the Treasury systems like Murex.
These market data consists of 4 different fields namely - Index , Currency, Term and Rate.
The Bank users will configure the market data w.r.to Curve definition, Term specification etc.

Secondary Skill:

Python Scripting with Numpy and Panda

JD:
In the Asset control team, the resource has to analyze the incoming market data in terms of their term, Curve classification, Ask/Bid rate and other meta data and flag the data in different pools in Murex.
Based on that info, he has to run different scripts (ETL / Python) and generate files in different formats. It will be then shared into different consumers like CMD Murex, IBRD Murex, IFC Murex, OneView etc.
Erroneous market data will be reported along with logs in the asset control team. The resource also has to monitor the storage of these data in Murex Database and run batches for other downstream consumption.

• Master's degree or Ph.D. in Geology, Earth Science, Remote Sensing, or a related field.
• Minimum of 7 years of experience in geological interpretation and remote sensing data analysis.
• Proficiency with remote sensing software (e.g., ENVI, ERDAS IMAGINE) and GIS software (e.g., ArcGIS, QGIS).
• Experience with satellite imagery processing (e.g., Landsat, Sentinel, ASTER) and aerial photography analysis.
• Knowledge of various remote sensing techniques, including multispectral, hyperspectral, and radar data.
• Familiarity with programming languages for data analysis (e.g., Python, R) is highly desirable.
• Excellent analytical, problem-solving, and data interpretation skills.
• Strong written and verbal communication skills.

• Acquire, process, and analyze satellite and aerial imagery (e.g., Landsat, Sentinel, LiDAR) for geological applications.
• Utilize GIS and remote sensing software (e.g., ArcGIS, ERDAS IMAGINE, ENVI) to interpret geological structures, mineral deposits, and land cover.
• Develop and implement advanced data analysis workflows for large geological datasets.
• Integrate various data sources, including geophysical surveys, well logs, and geochemical data, with remote sensing products.
• Conduct detailed geological mapping and modeling using advanced visualization techniques.
• Identify potential exploration targets and assess geological risks.
• Monitor environmental changes and impacts through the analysis of time-series remote sensing data.
• Collaborate with a global, remote team of geologists, geophysicists, and data scientists.
• Prepare comprehensive technical reports, presentations, and data visualizations for stakeholders.
• Stay current with the latest advancements in remote sensing technology, geological interpretation, and data science methodologies.
• Contribute to the development of new methodologies and tools for geological analysis.
• Mentor junior geologists in the application of remote sensing and data analysis techniques.

• Master's or Ph.D. in Geology, Geophysics, Earth Science, or a related field with a strong emphasis on remote sensing and GIS.
• Minimum of 8 years of professional experience in geological applications of remote sensing and data analysis.
• Expertise in processing and interpreting multispectral, hyperspectral, and radar imagery.
• Proficiency in industry-standard GIS and remote sensing software packages.
• Strong programming skills (e.g., Python, R) for data analysis and automation.
• Experience with cloud-based geospatial platforms and big data analysis is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and collaboratively in a remote team setting.
• Strong written and verbal communication skills, with the ability to present complex technical information clearly.
• Experience in mineral exploration or geotechnical assessment is a plus.

Data Scientist - Automation and Ecological Data Analysis (5165)

Location Remote

Job Code 5165

# of Openings 1

Apply Now (

Bennett Aerospace Inc., a subsidiary of Three Saints Bay, LLC, and a Federal Government Contractor industry leader, isseeking a highly motivateda Data Scientist to develop automation frameworks and analytical models that accelerate the interpretation of ecological field data within the Hydrogeomorphic (HGM) approach. The successful candidate will design, test, and implement algorithms that streamline functional assessments and ensure consistent outputs across geographic regions and mission areas.

Position Responsibilities

• Develop algorithms and automated workflows to process field-collected ecological data.

• Build data pipelines and scripts in R, Python, or equivalent tools to support reproducible analysis.

• Ensure automation tools generate consistent, defensible outputs for wetland functional assessments.

• Conduct verification and validation using test datasets and iterative refinement.

• Deliver technical documentation, user guides, and reports to support tool deployment and peer review.

Position Requirements:

• Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred).

• 5-10 years of experience in data analysis, modeling, and automation workflows.

• Proficiency in R, Python, and statistical modeling techniques.

• Experience working with ecological, environmental, or engineering datasets preferred.

• Strong analytical and problem-solving skills, with proven ability to translate complex data into decision-support products.

Security Requirements:

• Must be a US Citizen with the ability to obtain a US Government Clearance if required.

• Background check

• Applicants selected will be subject to a Government background investigation and must meet eligibility and suitability requirements.

• Must be a US Citizen with the ability to obtain a US Government security clearance.

• Successful Pass of Bennett Aerospace Background Investigation, Drug Screening and Credit Check

Apply online here at:

This position is remote, potential for hybrid work at the University of Montana

The salary range for this position is $87,000 - $97,000

VEVRAA Federal Contractor

Three Saints Bay, LLC and its subsidiaries offer a team-oriented working environment and the opportunity to work with exceptional, dedicated industry professionals. We offer our employees a comprehensive benefits package and the opportunity to take part in exciting projects with government and commercial clients, both domestic and international.

We are an Equal Opportunity Employer. We invite resumes from all interested parties without regard to race, color, sex, sexual preference, religion, creed, national origin, age, genetic information, marital or veteran status, disability, or any other category protected by federal, state, or local law.

Job Description

Work Arrangement

Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

The Role

The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.

The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.

As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.

What You'll Do (Responsibilities)

• Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework

• Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results

• Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance

• Assess bias estimation and subsampling strategies used by system engineering

• Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework

• Conduct statistical analysis to evaluate ADS driving software aggregate measures

• Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements

• Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations

• Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate

Your Skills & Abilities (Required Qualifications)

• M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)

• 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting

• Expertise in statistical modeling, machine learning and/or deep learning techniques

• Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods

• Expertise generating insights from multiple large-scale datasets

• Proficiency in SQL and Python

• Experience with data visualization tools and techniques

• Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders

• Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems

What Will Give You a Competitive Edge (Preferred Qualifications)

• PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)

• Experience in safety, automotive, or robotics data science is preferred

Compensation:

• The expected base compensation for this role is $160,200- $245,400 USD Annually

• Actual base compensation within the identified range will vary based on factors relevant to the position

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM

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Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .

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