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

Develop data-driven strategies for user growth, refine attribution practices to measure marketing impact, and collaborate with partners to implement experiments, all while presenting insights to influence strategic decisions.

• Analyzes problems and develops solutions involving computer software programs and applications • Designs programs or queries to retrieve complex data from databases • Supports EHR and other clinical or business information system report build and distribution configuration • Documents and maintains application design and build documents • Participates in activities related to project pre-work, configuration, testing, training, and activation • Compiles and assesses user feedback, gathers requirements for application configuration, and reviews application build • Develops, conducts, and/or coordinates information technology and/or information management training programs • Provides after hours support through on call duties for critical systems