1972 Data Science Analyst jobs in Tampa,FL

$143,320-$273,930

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

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

Various wellness programs

Career path planning and continuing education

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.

Individuals residing within a 60-mile radius of a USAA office will be expected to work on-site.

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.).

Medium or large bank experience.

Strong knowledge of Python and/or SAS.

Control partner collaboration experience.

Knowledge of Model Risk Management, Model Governance, and Regulatory requirements.

$68,960.00 - $100,000.00

Bonus/other non-recurrent compensation is occasionally offered for qualified positions

Best-in-class medical, dental and vision plan choices

Wellness resources

Employee assistance programs

Savings Plan Options (401(k))

Financial planning tools

Life insurance

Employee discounts

Paid holidays and paid time off

Tuition reimbursement

Early childhood and post-secondary education scholarships

Valuable educational and training programs for continual career growth at every stage of your career.

Full Time/Salaried/Exempt

3 years relevant experience with Bachelors in related field; 1 year relevant experience with Masters in related field; or High School Diploma or equivalent and 7 years relevant experience.

Must possess and maintain a TS-SCI clearance

Writing Sample Required

Job performance will normally require only minor lifting and carrying of boxes of records or equipment.

Experience working on a combatant command (CCMD), major command, Joint Staff, OSD, or service-level headquarters; experience in or directly supporting the USCENTCOM AOR strongly preferred.

Experience supporting strategy development, policy formulation, campaign planning, or theater-level operational planning.

Ability to rapidly synthesize inputs from meetings, intelligence, and policy discussions into clear written products such as talking points, information papers, strategic assessments, and leadership read-aheads.

Demonstrated ability to develop senior-leader-level briefing materials and strategic communication products.

Familiarity with key national security and DoD strategy documents (NSS, NDS, NMS, UCP) and how they influence CCMD planning and resource prioritization.

Proficient research, analytical, and critical-thinking skills, with the ability to distill complex issues and present them clearly.

Experience coordinating with interagency organizations (State Department, USAID, Intelligence Community, etc.) or partner nations on regional policy or security issues is a plus.

Prior deployment, overseas experience, or regional expertise related to the Middle East, Central Asia, or broader USCENTCOM AOR preferred but not required.