• Championing Data Culture & Metrics: Be the driving force for company-wide adoption of data-driven decision-making. • Commercial Insight: Partner with senior leads across Growth, Finance and Product to drive a unified data strategy across attribution, acquisition and revenue metrics to enable good decision making and scalable growth. • AI Roadmap Management: Oversee the delivery of our existing long-term AI roadmap, and ensure the team remains on track with initiatives aimed at commercial and clinical goals. • Strategic Leadership: Act as a trusted partner to the senior leadership team, communicating the value of data and ensuring it supports the company’s growth. • Team Mentorship: Manage and mentor a team of five, balancing high-level planning with the ability to provide technical guidance.

• Understand the business problem, able to convert it as an analytical problem • Understand the data need, collect, interpret and clean the data for analysis • Produce meaningful insights using analytical/data modelling techniques • Justify the results with the business context • Present the analysis and results to the business stakeholders • Generate BI reports and automate them • Work with management to prioritize business and information needs

Title: Technical Service Scientist Location: Allentown, PA locations Richmond, VA Allentown, PA time type Full time Job Description: What we offer Explore a world of opportunities with us. Look ahead with us and help shape innovative solutions to make our world more sustainable and life healthier, more vibrant and more comfortable. At Evonik, you have the chance to explore, thrive, and grow alongside 33,000 colleagues. Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork. Bring your fresh perspective, develop your strengths, break out your mold, and find a career that fits your dreams with us. Click on the link below to learn what our employees have to say about Evonik: https://careers.evonik.com/en/about/meet-the-team/ The Technical Service Scientist supports the ADTS lab for Tissue and Textiles in the Americas, providing hands-on laboratory support for new product development, product portfolio optimization, plant support, and technical service activities This role plays a key part in formulation development, application testing, and analytical evaluation of products serving the tissue and textile markets. The position partners closely with regional and global technical teams to deliver high-quality data, technical insights, and customer-focused solutions. Strong laboratory execution, organization, and communication skills are essential for success. This position is based onsite in Richmond, VA. A future relocation to Allentown, PA within approximately 6 months to 2 years of starting in the role is required. Candidates must be willing to relocate as a condition of employment. RESPONSIBILITIES - Carry out lab work necessary for new product development, product portfolio support, plant support, processes, and technical service for the tissue and textile market. - Plan, prepare, and perform tests, formulations, and experiments following established or newly developed procedures, modifying methods as needed to optimize performance. - Conduct application or analytical evaluation of existing, developmental, and competitive products and technologies. - Evaluate and document test results; prepare status and study reports; maintain electronic documentation. - Develop and optimize application and analytical test methods and support the technical service lab. - Maintain a clean, organized, and safe laboratory environment, including proper handling of equipment, chemicals, and MSDS documentation. REQUIREMENTS - Bachelor’s degree in Chemistry, Chemical Engineering, Materials Science, Biology, or another STEM-related field - Laboratory experience in synthesis, formulation, application testing, development, or production - Ability to plan and execute experiments using established procedures and adapt methods as needed - Experience evaluating and documenting test results, including report writing and maintaining electronic records - Strong organizational skills and attention to detail - Clear written and verbal communication skills - Ability to maintain a safe, clean, and compliant laboratory environment Preferred Qualifications - Experience in tissue, paper, or textile development - Industry experience within specialty chemicals or related technical segments - Experience developing or optimizing application or analytical test methods Additional Requirements - Must be willing to work onsite in Richmond, VA initially - Must be willing to relocate to Allentown, PA within approximately 6 months - 2 years based on business needs The Evonik Group adopts an Equal Employment Opportunity (EEO) approach. Candidates are assessed based on their educational qualifications, experience, job competencies and potential and shall not be discriminated against on the basis of race, ethnicity, age, gender, religion, nationality, disability or sexual orientation or other classifications protected by local, state, or provincial regulations. Your Application To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at https://careers.evonik.com. Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations. Your Talent Acquisition Manager: Emma Martinez [C] Company is Evonik Corporation

Title: Data Scientist Senior - Model Development Locations: San Antonio, Texas; Charlotte, North Carolina; Colorado Springs, Colorado; Phoenix, Arizona; Plano, Texas; Tampa, Florida Type: Full-Time Job ID: R0115804 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. 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.