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Model Development information

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$50K

$107.7K

$173.5K

How much do model development jobs pay per year?

As of Jul 9, 2026, the average yearly pay for model development in the United States is $107,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $121,500.00 per year, depending on experience, location, and employer.

What is the difference between Model Development vs Data Analysis?

AspectModel DevelopmentData Analysis
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentDeveloping predictive models, coding, testing algorithmsInterpreting data, generating reports, identifying trends
Industry UsageUsed in machine learning, AI, predictive analyticsUsed in business intelligence, reporting, data visualization

Model Development focuses on creating algorithms and predictive models using programming and statistical techniques, often in machine learning contexts. Data Analysis involves examining datasets to extract insights, generate reports, and support decision-making. While both roles require strong analytical skills, Model Development emphasizes building models, whereas Data Analysis centers on interpreting data and communicating findings.

What are typical challenges faced by professionals in Model Development roles, and how can they be addressed?

Model Development professionals often face challenges such as managing large and complex datasets, ensuring model accuracy and regulatory compliance, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong data management practices, staying updated with the latest industry regulations, and honing communication skills to translate complex results into actionable insights. Collaboration with cross-functional teams, such as data engineers and business analysts, is also key to successful model implementation and ongoing performance monitoring.

What jobs in the US pay 300,000 a year?

In the field of model development, senior roles such as lead data scientists, machine learning engineers, and quantitative researchers can earn $300,000 or more annually, especially with extensive experience, advanced skills in programming and statistical analysis, and work at large tech firms or financial institutions. These positions often require advanced degrees and expertise in AI, deep learning, or big data tools.

What are the key skills and qualifications needed to thrive in Model Development, and why are they important?

To thrive in Model Development, you need a strong background in statistics, mathematics, programming (often in Python or R), and a relevant degree such as in data science, economics, or computer science. Familiarity with machine learning frameworks, statistical modeling tools, and data visualization platforms is typically required, along with certifications like SAS or FRM being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret data, validate models, and explain results to stakeholders. These skills ensure robust, compliant, and actionable models that drive sound business decisions.

What does a model developer do?

A model developer designs, builds, and tests mathematical or machine learning models to solve specific problems or make predictions. They often work with programming languages like Python or R, utilize data analysis tools, and ensure models are accurate and efficient for deployment in real-world applications.

What jobs will no longer exist in 2030?

By 2030, roles heavily reliant on manual or repetitive tasks, such as data entry clerks and certain assembly line positions, are expected to decline due to automation and AI advancements. Jobs requiring routine cognitive skills may also diminish as AI tools become more capable, while roles emphasizing complex problem-solving, creativity, and emotional intelligence are likely to persist.

What is model development?

Model development is the process of designing, building, testing, and refining mathematical, statistical, or machine learning models to solve specific business or research problems. These models are used to analyze data, make predictions, or automate decision-making. The process typically involves data collection, feature engineering, model selection, training, validation, and ongoing monitoring to ensure accuracy and relevance. Model developers often work in fields like finance, healthcare, and technology, where data-driven insights are crucial.

What is the highest paying model job?

In model development, senior roles such as Lead Data Scientist or Machine Learning Engineer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in programming, statistical analysis, and experience with tools like Python, TensorFlow, or PyTorch, and may involve leadership responsibilities and complex project management.
More about Model Development jobs
What cities are hiring for Model Development jobs? Cities with the most Model Development job openings:
What are the most commonly searched types of Model Development jobs? The most popular types of Model Development jobs are:
What states have the most Model Development jobs? States with the most job openings for Model Development jobs include:
What job categories do people searching Model Development jobs look for? The top searched job categories for Model Development jobs are:
Model Development jobs near you
Infographic showing various Model Development job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,697 per year, or $51.8 per hour.
Data Scientist Lead - Model Development

Data Scientist Lead - Model Development

USAA

San Antonio, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

USAA rating

8.3

Company rating: 8.3 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

36th of 146 rated banks

Job description

Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.
The Opportunity
The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists.
Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership.
This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.
Relocation assistance is available for this position.
What you'll do:
  • Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business.
  • Leads and conducts advanced analytics leveraging machine learning, simulation, and optimization to deliver business insights and achieve business objectives.
  • Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
  • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
  • Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences.
  • Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts.
  • Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
  • Assists team with translating business request(s) into specific analytical questions, executing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations.
  • Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed.
  • Establishes and maintains best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
  • Interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
  • Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills.
  • Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:
  • Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
  • 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
  • 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
  • Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
  • Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
  • Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
  • Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
  • Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
  • Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation.
  • Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building.
  • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
  • A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
  • Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.

What sets you apart:
  • Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches.
  • Extensive hands-on experience preparing data and code for modeling.
  • Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring.
  • Experience working directly with clients, customers, or internal business partners.
  • Experience leading client or customer relationships and expectations, including senior leadership.

Compensation range: The salary range for this position is: $164,780 - $314,960
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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