Title: Senior Data Scientist Location: United States Type: Full-Time Job Description: Job ID: R0117789 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 Translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform 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, expanding 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 not 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 sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. - Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. - Develops standard methodologies 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 innovative 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 optimally identified, measured, supervised, 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 field; 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 - 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 vital 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, 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, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. - 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: - US military experience through military service or a military spouse/domestic partner - Graduate degree in a quantitative subject area - Over 4 years of experience with model development or other advanced fraud detection algorithms - Over 3 years of experience with graph databases and graph solutions - Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. 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. 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.

• Design, build, and deploy machine learning solutions — including data pipelines, model training workflows, and LLM-powered experiences • Improve the performance, reliability, and accuracy of large language models in production environments • Define and track meaningful metrics that help us better understand user behavior and product impact • Partner cross-functionally with Product, Engineering, and business stakeholders to identify opportunities where data and AI can drive innovation • Build and maintain large-scale datasets that support advanced analytics and machine learning applications • Develop tools, models, and experimentation frameworks that help accelerate product development and decision-making • Serve as a technical thought leader, helping shape our approach to data science and AI across the company • Mentor and support other data scientists, contributing to a collaborative and growth-oriented team culture

Role Description Als Werkstudent (m/w/d) im Bereich Data Science bekommst du spannende Einblicke in die Welt der Datenanalyse und des maschinellen Lernens. Du wirst uns bei administrativen und organisatorischen Aufgaben unterstützen und bekommst die Chance, Verantwortung zu übernehmen. Je nach Wohnort arbeitest du entweder zweimal pro Woche gemeinsam mit deinem Team im Headquarter in Erkrath oder du hast die Möglichkeit, bis zu 100 % remote zu arbeiten. - Unterstützung bei Data Science-Projekten - Anwendung verschiedener Methoden des maschinellen Lernens - Aufbereitung und Analyse von Daten - Erstellung detaillierter Visualisierungen - Schreiben von Berichten und Präsentationen - Einbringen neuer Ideen und Entwicklung innovativer datenbasierter Ansätze - Enger Austausch mit Stakeholdern zur Findung optimaler Lösungen - Übernahme eigener kleiner Projekte, die als Grundlage für deine Abschlussarbeit dienen können Qualifications - Du absolvierst ein Masterstudium im Bereich Data Science, Informatik, Mathematik oder einem verwandten Bereich. - Gewissenhafte, strukturierte und selbstständige Arbeitsweise. - Routinierter Umgang mit gängigen Datenanalyse-Tools und -Technologien wie Python, Spark und SQL. - Gute Englischkenntnisse (ab B2) und sehr gute Deutschkenntnisse (ab C1). - Proaktive, hilfsbereite und freundliche Persönlichkeit. - Freude an Teamarbeit und Bereitschaft für Veränderungen. Benefits - Flexible Arbeitszeit und -ort: Nutzung moderner Multispaces, mobil oder remote arbeiten. - Bis zu 120 Kalendertage im Jahr aus dem Ausland arbeiten. - Zugang zu über 20.000 Angeboten auf unserer internen Weiterbildungsplattform. - Gesundheitsaktionen und After-Work-Veranstaltungen, wie Stresschecks und Rückenkurse. - E-Bike oder Fahrrad leasen, vergünstigtes Jobticket oder Fahrgeldzuschuss. - Kita-Plätze in Erkrath und Eltern-Kind-Büros im Headoffice. - Kooperation und Zusammenarbeit auf Augenhöhe.

Title: Data Scientist, Modeler Location: Los Angeles, CA, USA Employees work in a hybrid mode Full-time Compensation: USD 100,000 - USD 135,000 - yearly Company Description Teleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We’ve been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we’ve become the world’s largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet! We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows. This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution. This position will be based at our West Los Angeles, CA office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday. Job Description Forecasting & Budgeting (Core Ownership) - Own forecasting models for: - Revenue, orders, conversion rates, and AOV - Marketing performance and demand planning - Partner with Finance and Leadership on budgeting and planning cycles - Build scenario models to support strategic decisions - Continuously improve forecast accuracy using statistical and machine learning techniques Customer & LTV Modeling (Core Requirement) - Design and maintain Customer Lifetime Value (LTV) models - Perform cohort analysis, retention modeling, and customer segmentation - Identify key drivers of long-term customer value and profitability - Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies AI / LLM Strategy & Implementation - Lead adoption of AI/LLM capabilities across analytics and business workflows - Identify and implement use cases such as: - Automated insight generation and reporting - Natural language querying (NL → SQL) - Customer behavior summarization and segmentation - Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.) - Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevance Advanced Analytics & Modeling - Develop models for: - Demand forecasting and seasonality - Customer behavior and conversion drivers - Leverage GCP/BigQuery for large-scale data analysis - Identify key drivers of performance across product, pricing, and customer behavior A/B Test Validation & Experimentation Support - Validate statistical significance and methodology of A/B tests - Ensure accuracy and consistency of test readouts - Define guardrails and best practices for experimentation measurement - Partner with Product and Analytics teams (without owning test execution) Communication & Executive Storytelling (Critical) - Translate complex analyses into clear, actionable insights for non-technical stakeholders - Develop high-quality presentations and narratives for senior leadership and executives - Clearly articulate assumptions, risks, and confidence levels in models and forecasts - Influence decision-making through structured, data-driven storytelling Data Strategy & Cross-Functional Collaboration - Work closely with: - Data Analytics Manager (India) - Data Engineering / DW team - Product, Marketing, and Finance stakeholders - Help define scalable data models and structures to support analytics and AI use cases Tooling & Infrastructure - Build models and workflows using: - Python (preferred) or R - SQL / BigQuery (GCP ecosystem) - Work with modern AI tooling: - LLM APIs (OpenAI, Claude, Gemini) - Help establish scalable pipelines for both traditional ML and LLM-based systems - Establish best practices for prompt design, validation, and governance Qualifications - 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business) - Experience presenting to senior executives and driving decisions - Strong experience with: - Forecasting and time series modeling - Customer Lifetime Value (LTV) modeling - Python and SQL (BigQuery preferred) - Statistical analysis and experimentation - Proven ability to build executive-level presentations and communicate complex insights clearly - Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.) - Experience building or prototyping AI-powered workflows or applications - Strong ability to evaluate and validate AI-generated outputs for accuracy and plausibility - Understanding of: - Prompt engineering - Model limitations (hallucination, bias, cost tradeoffs) - Excellent verbal and written communication skills - Ability to influence stakeholders across Product, Marketing, Finance, and Leadership - Master's degree (or foreign equivalent) in Data Science or Statistics Preferred: - Experience with GCP ecosystem - Exposure to MLOps or productionizing models - Experience in eCommerce or high-volume consumer environments Pay Range: $100,000- $135,000. Final compensation will be dependent upon skills & experience. Additional Information - Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including: - 24/7 online physician consultations - virtual mental health resources - life coaching - engaging employee community groups - cash rewards for healthy habits and fitness reimbursements - library of on-demand fitness videos - Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units. - Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses. - Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward. - Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace. - Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California’s Central Valley, Fiji, and the world. In 2025, Wonderful ranked as #1 in PEOPLE’s “100 Companies That Care” list and was named one of Fortune magazine’s 100 Best Companies to Work For. - Giving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities. Say everything and share your "Love Out Loud™" with the gift of Teleflora® flowers—all made by hand and delivered by hand by your local florist. With more than 10,000 member florists in North America alone, Teleflora offers the kind of personal touches, artistry and expertise you expect from a trusted neighborhood florist—even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstep—Teleflora's network of professional florists creates artistic arrangements personally delivered in a vase, often on the same day. Teleflora makes every day an occasion with a two-in-one gift that includes a multipurpose keepsake container for long-lasting enjoyment. Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company’s connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories. #LI-JB1 #LI-Hybrid