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Industry: Technology, Information and Media
Company Size: 11-50 employees

TalentAlly

Savvy Admin PROD

**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 offer a flexible work environment that requires an individual to be **in the office 4 days per week. ** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL Relocation assistance is **not ** available for this position.

**This individual will be part of the Bank Member Remediations team. The focus will be to create audience files for bank remediations, gathering requirements, exploratory data analysis to test requirements and provide data insights to remedy financial impacted members. **

Provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

**What you'll do: **

- Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.

- Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.

- Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

- Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.

- Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

- Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

- Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

- Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

- Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.

- 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 quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

- 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).

- Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

- Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

**What sets you apart: **

- The candidate must be well-versed in the problem-solving process.

- Intermediate level SQL coding proficiency.

- Experience with SAS, Python, or VS Code is a desirable additional skill.

- Familiarity with Copilot (or similar) for debugging and enhancing code efficiency.

- Previous experience in the banking sector in a similar capacity.

- Experience working directly with issues and remediation within a professional context is highly valued.

- US military experience through military service or a military spouse/domestic partner.

**Compensation range: **The salary range for this position is: $93,770 - $168,790.

**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. ~~

PDN-a1dd7ec8-4922-4f96-bf70-baa251b1ecd0

Data Scientist

Yum! Brands, Inc., based in Louisville, Kentucky, and its subsidiaries franchise or operate a system of over 60,000 restaurants in more than 155 countries and territories under the Company’s concepts – KFC, Taco Bell, Pizza Hut and the Habit Burger Grill. The Company's KFC, Taco Bell and Pizza Hut brands are global leaders of the chicken, Mexican-style food, and pizza categories, respectively. The Habit Burger Grill is a fast casual restaurant concept specializing in made-to-order chargrilled burgers, sandwiches and more.

What makes Yum! a great place to work? It's our people. As the world's largest restaurant company, we invest in people capability so that our global workforce can make the most of their careers. With ongoing opportunities for personal and professional success, we've built a culture that rewards and recognizes great effort while providing the flexibility that is so important to all of us.

Industry: Restaurants
Company Size: 1,001-5,000 employees

Yum! Brands

~~**Location Requirement: Hybrid onsite in Louisville, KY, Plano, TX or Irvine, CA** ~~Yum Crave AI is seeking a Data Scientist (AI/ML Modeling & Algorithms) to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments, applying established data science techniques to deliver scalable AI/ML solutions in partnership with cross-functional teams.

This role is ideal for a data scientist who is strengthening their expertise in applied modeling and progressing toward senior-level ownership.

AI / ML Model Development

- Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)

- Translate business and operational requirements into structured modeling problems with guidance from senior team members

- Perform feature engineering, model training, validation, and evaluation using defined best practices

- Contribute to improving existing models and pipelines

Experimentation & Model Evaluation

- Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance

- Monitor model performance and identify opportunities for improvement

- Apply standard processes to assess model quality, accuracy, and reliability

Data & Technical Execution

- Work with structured and semi-structured datasets to prepare data for modeling

- Write clean, maintainable Python and SQL code

- Partner with Data Engineering and ML Engineering to support model deployment

Collaboration & Communication

- Clearly communicate analytical findings to technical and non-technical stakeholders

- Document assumptions, methodologies, and results

Build strong working relationships within the immediate team and cross-functional partners

- Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)

- 2+ years of experience in data science or machine learning

- Experience applying machine learning techniques to real-world problems

- Proficiency in Python and SQL

- Understanding of model evaluation metrics and validation approaches

**Preferred Qualifications**

- Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)

- Experience working in cloud environments (AWS, GCP, or Azure)

- Familiarity with experimentation methodologies (A/B testing)

- Experience collaborating with engineering teams on production deployments

Salary Range: 106,600 - 133,200

**Benefits **: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -Click here.

At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC (“YRSG”) and Yum Connect, LLC (“Yum Digital and Technology”)(collectively, “Yum”) is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

~~US Job Seekers/Employees - ~~~~Click here ~~~~to view the “ ~~Know Your Rights~~” poster and supplement and the Pay Transparency Policy Statement. ~~

Data Scientist (AI/ML Modeling, Forecasting and Algorithms)

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