3701 Chiropractic jobs in Arizona

The salary range for this position is: $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.

Relocation assistance is available for this position.

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.

Our career path planning and continuing education assists employees with their professional goals.

Individuals residing within a 60-mile radius of a USAA office will be expected to work on-site 4 days per week.

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.

Prior U.S. military service or being a military spouse/domestic partner is highly valued.

3+ years in marketing analytics audience strategy, or paid media.

3+ years working with 3rd party data sources (data co-ops, data marketplaces, credit bureaus) to build marketing targeting models.

3+ years in digital platforms (Adobe, Google) and clickstream data.

3+ years in identity resolution - deterministic/probabilistic matching, household graphs, clean rooms, etc.

Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake, Bigquery, Databricks).

Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively.

Medical insurance including HSA, HRA and FSA accounts

Supplemental insurance including critical illness, hospital indemnity, accidental injury

Dental Insurance

Vision Insurance

Basic Life and Supplemental Life

Short Term and Long Term Disability

Paid Parental Leave

401(k)

Paid Time Off approximately 2 weeks (accrual begins on Day 1 of employment)

Employer Paid Holidays- 10 days

Mon-Thu 6:00pm-4:30am

Minimum one year experience in a warehouse or distribution environment.

Basic computer skills

Pass Background and Drug screen

High School Diploma or equivalent preferred.