Title: Data Scientist Senior - Model Development Type: Full-Time 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. The Opportunity The Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred. As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, growing the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. 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: - 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. 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.

• Lead metrics strategy and work closely with the Product and Operations team • Manage, build, and lead a high-performing team responsible for designing and implementing meaningful metrics • Provide close analytics support to evaluate the impact of new product features and enhancements • Own Fuze Rx's data transformation logic that take raw data inputs and convert them into scalable, reusable data assets • Participate in evolving Fuze Rx’s data platform and define best practices for long-term analytics ecosystem • Surface durable, relevant, and reusable dashboards to monitor the health of various products and operations

Sr Medical Scientist - Immunology (Rheumatology) Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans. • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise. • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director. • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed. • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed. • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review. • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner. • Attends and present at Trusted Process meetings and may participate in internal and external audits. • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology. • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. • May manage limited number of direct reports. May participate or conduct interviews. At  Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $79,800.00 - $139,600.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

NOTE: Although this position is largely remote, California residence will be required. (no relocation offered) Job Summary: In addition to the responsibilities listed below, this position is also responsible for programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes. Essential Responsibilities: - Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. - Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. - Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making. - Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables. - Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation. - Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data. - Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics. - Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate. Minimum Qualifications: - Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language. - Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field. Additional Requirements: - Knowledge, Skills, and Abilities (KSAs): SAS Tools; SQL/SAS; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Written Communication