Data Scientist Senior

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info, remove boilerplate (cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, application instructions). Also must not include sections with filler like "commensurate with experience". Must not create Pay/Schedule/Benefits unless posting actually states them. The posting includes compensation range, benefits description, remote eligibility, schedule info (remote eligible, occasional travel, on-site expectation). So we can have sections: About the role (maybe from "Why USAA?" and "The Opportunity" etc). Responsibilities (the "What You'll Do" list). Requirements (the "What You Have" list). Qualifications? Might be overlapping with Requirements. Skills maybe from "What Sets You Apart". Benefits (the benefits paragraph). Pay (compensation range). Schedule (remote eligibility, on-site expectation). We must not include sections that are empty or filler. We need to use

• for any list of duties/requirements/benefits. Use

  for prose. We must not include markdown fences. Output only HTML fragment. Let's extract content. First, "Why USAA?" paragraph: mission statement, core values, support spouses, remote/hybrid flexibility. That's about the role/company. Could be "About the role" or "About USAA". We'll use

  About the role

  and put that prose in

  . Then "The Opportunity" paragraph: description of role, AI Individual Contributor Data Scientist, tasks. That could also go under About the role or Responsibilities. But we already have About the role; we could combine. However we need to avoid duplication. Let's put the mission/intro in About the role, and the specific role description maybe also in About the role or Responsibilities. But we have a separate Responsibilities section for "What You'll Do". So we can keep About the role as the introductory paragraph about USAA and the role's purpose. Then Responsibilities: list from "What You'll Do". That's a long list of bullet-like sentences each starting with a verb. We'll turn each into

• . Then Requirements: from "What You Have". That's a list of bullet-like sentences each with a period. We'll turn each into
• . Then Skills: from "What Sets You Apart". That's also a list of bullet-like sentences. We'll turn each into
• . Then Benefits: paragraph about benefits. We'll put in

  under

  Benefits

  . Then Pay: compensation range paragraph. We'll put in

  under

  Pay

  . Then Schedule: remote eligibility, occasional travel, on-site expectation, relocation assistance. We'll put in

  under

  Schedule

  . We must not include sections like "Qualifications" if we already have Requirements; but we could include Qualifications if distinct. The posting has "What You Have" which is qualifications/experience. We'll treat that as Requirements. Could also have Qualifications separate but not needed. We must not include boilerplate like "USAA does not provide visa sponsorship..." that's maybe part of Pay or a note; but it's substantive? It's about visa sponsorship. Should we keep? It's not boilerplate; it's a specific condition. Could be placed under Pay or a separate note. But instructions: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Visa sponsorship is not exactly those; it's a condition. Might keep. However it's under "Compensation range:" paragraph includes that line. We'll keep it as part of Pay section. Also "Please do not apply for this role if at any time (now or in the future) you will need immigration support..." That's also a condition. Keep. Also "Compensation: USAA has an effective process..." that's also part of Pay. Also "The above description reflects the details considered necessary..." that's boilerplate? Might be generic; could be considered legal boilerplate. Might remove. It's a disclaimer about job description. Might be considered boilerplate; safer to remove. Also "Applications for this position are accepted on an ongoing basis..." that's application instruction; remove. Also "USAA is an Equal Opportunity Employer..." that's EEO boilerplate; remove. Thus we will exclude those. Now construct HTML. We need to ensure we don't repeat job title as heading. No heading for job title. We'll output something like:

  About the role

  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 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.

  But we have two paragraphs; maybe combine into one? Could keep as two

  under same heading. That's fine. Then Responsibilities:

  Responsibilities

  • 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.
  Then Requirements:

  Requirements

  • 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.
  Then Skills (What Sets You Apart):

  Skills

  • 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.
  Then Benefits:

  Benefits

  At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits