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Mathematics And Computer Science Jobs in Colorado

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 ...

$56K/yr

... probability, statistics, mathematical logic, science, or subject-matter courses requiring ... Knowledge of computer operations and standard software applications . PART-TIME OR UNPAID ...

CO

$56K/yr

... probability, statistics, mathematical logic, science, or subject-matter courses requiring ... Knowledge of computer operations and standard software applications . PART-TIME OR UNPAID ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python experience a plus * Tableau, PowerBI ...

Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 Years of Relevant job experience * SQL Required * R or Python experience a plus * Tableau, PowerBI ...

Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 3-5 Years of Relevant job experience * SQL Required * R or Python experience a plus * Tableau, Power BI ...

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Mathematics And Computer Science information

How do professionals in Mathematics and Computer Science typically collaborate with other departments within an organization?

Professionals in Mathematics and Computer Science often work closely with teams such as engineering, data analytics, and business operations. They frequently collaborate to develop algorithms, optimize processes, and translate complex data into actionable insights. Effective communication is key, as these professionals must explain technical concepts to non-technical stakeholders and ensure that solutions align with broader business goals. These cross-functional interactions are integral to driving innovation and ensuring successful project outcomes.

What is the difference between Mathematics And Computer Science vs Data Analyst?

AspectMathematics And Computer ScienceData Analyst
Required CredentialsBachelor's or higher in Math, CS, or related fieldsBachelor's in Statistics, Math, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Employer & Industry UsageTech firms, universities, research institutionsCorporations, marketing firms, government agencies
Common Search & ComparisonYesYes

Mathematics And Computer Science focuses on theoretical and applied aspects of algorithms, programming, and mathematical modeling, often in research or development settings. Data Analysts primarily interpret data to inform business decisions, working with statistical tools and data visualization. While both roles require strong analytical skills, Mathematics And Computer Science emphasizes technical programming and theory, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Mathematics and Computer Science professional, and why are they important?

To thrive as a Mathematics and Computer Science professional, you need strong analytical skills, a solid grasp of advanced mathematics and algorithms, and typically a degree in mathematics, computer science, or a related field. Proficiency in programming languages (such as Python, Java, or C++), mathematical modeling tools, and familiarity with database or statistical software are commonly required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These competencies are crucial for developing efficient solutions, collaborating on interdisciplinary projects, and driving innovation in technology-driven environments.

Is cs and math a good combination?

A combination of computer science and mathematics is highly valuable for roles such as software developer, data scientist, or algorithm engineer, as it provides strong problem-solving and analytical skills. Many employers seek candidates with expertise in both areas, often requiring knowledge of programming languages, data structures, and mathematical concepts like linear algebra or probability. This combination can lead to diverse career opportunities in tech, research, and academia.

What are Mathematics and Computer Science professionals?

Mathematics and Computer Science professionals are experts who apply mathematical theories, computational techniques, and computer programming to solve complex problems in various industries. They often work in areas like software development, data analysis, research, cryptography, and algorithm design. These professionals use their skills to develop innovative solutions and improve technology, making significant contributions to science, engineering, finance, and more.

Can I make 200K with a computer science degree?

Mathematics and Computer Science professionals can reach a $200,000 salary with experience in high-demand roles such as software engineering, data science, or machine learning engineering, especially in tech hubs or large companies. Achieving this level often requires advanced skills, certifications, and a strong track record of performance, along with working in environments that offer competitive compensation packages.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These roles often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or MATLAB in various industries including finance, technology, and research.

What jobs can you get with computer science and maths?

With a background in computer science and mathematics, you can pursue roles such as software developer, data analyst, data scientist, cybersecurity analyst, machine learning engineer, and systems architect. These jobs often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or SQL.
What are popular job titles related to Mathematics And Computer Science jobs in Colorado? For Mathematics And Computer Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Mathematics And Computer Science jobs in Colorado look for? The top searched job categories for Mathematics And Computer Science jobs in Colorado are:
What cities in Colorado are hiring for Mathematics And Computer Science jobs? Cities in Colorado with the most Mathematics And Computer Science job openings:
Data Scientist Senior

Data Scientist Senior

USAA

Colorado Springs, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

34th of 141 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

We are seeking a Lead AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements.

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 structured and unstructured data to enable advanced analytical solutions for the business.
  • Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
  • Selects 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 assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
  • Assesses business needs to propose/recommend analytical and modeling projects to add business value.
  • Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
  • Builds and maintains 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.
  • Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
  • Manages project milestones, risks, and impediments.
  • Escalates potential issues that could limit project success or implementation.
  • Develops 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.
  • Maintains expertise and awareness of cutting-edge techniques.
  • Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
  • Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
  • Participates in internal communities that 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.
  • 6 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 4 years of experience in predictive analytics or data analysis.
  • 4 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.
  • Proven experience writing 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.
  • Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
  • Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
  • Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Experience guiding and mentoring junior technical staff in business interactions and model building.
  • Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

What sets you apart:

  • Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations.
  • Experience in AI/ML/Data Science, focused on product development, strategy, or modeling.
  • Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams.
  • Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures.
  • Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus.
  • Previous exposure to or understanding of the financial services sector is highly preferred.

Compensation range: The salary range for this position is: $143,320-$273,930.

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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