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Senior Data Science Manager Jobs in Washington, DC

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and ... management * Developing customer-facing reporting tools to provide timely and accurate decision ...

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... data science, data management and/or applying data analysis and reporting skills in a business ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Build and manage ETL pipelines for ingesting, transforming, and delivering structured and ... Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

Provide guidance on best practices and industry standards across data science and analytics, data ... Develop and implement data quality assurance and management protocols. * Create, maintain, and ...

Provide guidance on best practices and industry standards across data science and analytics, data ... Develop and implement data quality assurance and management protocols. * Create, maintain, and ...

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Showing results 1-20

Senior Data Science Manager information

See Washington, DC salary details

$56.1K

$144K

$237.3K

How much do senior data science manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data science manager in Washington, DC is $143,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $168,800.00 per year, depending on experience, location, and employer.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

Infographic showing various Senior Data Science Manager job openings in Washington, DC as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $143,978 per year, or $69.2 per hour.

Sr Data Science Manager, NPV Modeling

Mclean, VA • Hybrid


PenFed Credit Union
Finance and Insurance • 1 - 5K employees

7.6

Company rating: 7.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Good employer

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Recommended by parents


$97K - $224K/yr

Full-time

Posted 14 days ago


Job description

Overview

PenFed is hiring a (Hybrid) Sr Data Science Manager, NPV Modeling at our Tysons, Virginia location. This role leads the NPV modeling function within the Decision Science department. The incumbent will manage a team of data scientists to develop, maintain, and enhance NPV models for consumer banking products, including Auto Loan, Personal Loan, Credit Card, and Deposit. This role is also responsible for building out Customer Life Time Value (CLTV) modeling to drive member profitability. Throughout the model lifecycle, the incumbent will partner with Finance, Product Strategy, Credit Risk, Pricing, and Second Line stakeholders to validate key assumptions, ensure NPV results are updated and reviewed in a timely manner, support strategic business decisions, and maintain rigorous monitoring and reporting of model performance.


Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

  • Provide leadership and management in developing and implementing programs, policies, and procedures to ensure mission and core values are implemented.
  • Collaborate with key stakeholders and set up agenda, which aligns with overall business strategic goal.
  • Creatively leverage various statistical methodologies to solve business challenges.
  • Develop and implement acquisition pricing and credit underwriting models to support lending decisions. Use advanced modeling and simulation techniques to optimize the performance of loan products and operations.
  • Develop statistical models and scorecards for credit underwriting, loan pricing, collection, and portfolio risk monitoring.
  • Collaborate with product managers to optimize marketing campaigns in acquisitions that align with the credit policies and scoring models.
  • Develop price elasticity models to support risk adjusted pricing, as well as subsequently establish and maintain model governance.
  • Monitor performance of quantitative models and support independent model validation efforts in accordance with the model governance policy.
  • Participate in identification, measurement, and monitoring of credit risk as it relates to Merger and Acquisition (M&A), loan purchases and participation, and other new business strategies.
  • Utilize credit models and analytics to assist lending with policies and strategies that maximize profits and asset growth and minimizes credit and operating losses as well as other risk exposures.

Qualifications

Equivalent combination of education and experience is considered.

  • Master’s Degree in quantitative discipline is required.  PHD is highly preferred.
  • Minimum of ten (10) years of related work experience in building statistical models and advanced data analysis.
  • Minimum of two (2) years of direct management experience required.
  • Applied experience with NPV, Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required.
  • Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R) required.
  • Experience in building risk, revenue and targeting models for consumer products is required.
  • Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
  • Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail.
  • Detail oriented, results driven, and the ability to navigate in a quickly changing and high demand environment to develop solutions while balancing multiple priorities.
  • Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team is required.
  • Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations.
  • Proven project management skills.
  • Excellent oral and written communication skills required.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Travel is not required.

Pay Transparency 
The anticipated starting salary range for this role is $97,400.00 - $224,184.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Qualifications:

Equivalent combination of education and experience is considered.

  • Master’s Degree in quantitative discipline is required.  PHD is highly preferred.
  • Minimum of ten (10) years of related work experience in building statistical models and advanced data analysis.
  • Minimum of two (2) years of direct management experience required.
  • Applied experience with NPV, Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required.
  • Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R) required.
  • Experience in building risk, revenue and targeting models for consumer products is required.
  • Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
  • Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail.
  • Detail oriented, results driven, and the ability to navigate in a quickly changing and high demand environment to develop solutions while balancing multiple priorities.
  • Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team is required.
  • Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations.
  • Proven project management skills.
  • Excellent oral and written communication skills required.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Travel is not required.

Pay Transparency 
The anticipated starting salary range for this role is $97,400.00 - $224,184.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME


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