Data Scientist, Global Growth

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY GROWTH MEASUREMENT? In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team. YOU WILL: * Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies * Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions. * Contribute to the development of a robust data infrastructure to support user growth. * Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights. * Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership. YOU HAVE: * A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. * 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation. * Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design. * Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. * Experience in the gaming industry and/or multisided marketplaces. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $220,300—$262,380 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Coupang

Company Introduction  We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.  We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.   Role Overview The Incrementality and Attribution Team – Data Analytics and Science team is responsible for designing marketing experiments to measure incrementality, creating marketing science models to evaluate marketing efficiency, optimize budget allocation and in-channel investment optimization.  We are looking for a Senior Staff, Data Scientist(Incrementality and Attribution) to serve as the principal technical leader for our incrementality and attribution initiatives. In this individual contributor (IC) role, you will define the high-level research direction and technical strategy to evaluate marketing efficiency and optimize budget allocation. You will be highly hands-on, architecting advanced machine learning models and designing robust incrementality testing frameworks. You will collaborate closely with our existing team of data scientists and analysts to solve complex technical challenges, and partner with business teams to translate growth marketing requirements into scalable technical solutions.  Key Responsibilities  * Lead Technical Strategy: Act as the senior technical lead to establish the high-level research direction, methodology, and framework for incrementality testing and measurement * Hands-on Modeling: Architect, build, and refine advanced Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) models from scratch * Enable the Team: Guide and upskill current data scientists and analysts, helping them overcome technical hurdles and empowering them to execute, scale, and productionize models  * Drive Business Impact: Enable the growth marketing team to make data-driven decisions and optimize budget allocation across various channels * Bridge Tech and Business: Partner closely with cross-functional business stakeholders to translate complex business requirements into robust, production-grade technical solutions.  * Foster Excellence: Establish best practices for marketing science methodology, code quality, and experimental rigor across the team Basic Qualifications  * Master’s or PhD degree in Statistics, Econometrics, Data Science, Computer Science, Operations Research, or other highly quantitative technical fields * 10+ years of industry experience in data science, advanced machine learning modeling, or a highly quantitative marketing science role * Deep Domain Expertise: Deep, foundational understanding of incrementality & marginality concepts, synergy & cannibalization, A/B testing design, and attribution methodology * Proven Model Building: Demonstrated track record of hands-on experience building and deploying advanced MMM (Marketing Mix Modeling) and MTA (Multi-Touch Attribution) models at scale in previous companies * Strong Machine Learning and Analytics Foundations: Advanced proficiency in Python and SQL, and deep expertise in statistical modeling, causal inference, and machine learning algorithms * Technical Leadership: Proven experience acting as a tech lead, setting research directions, and unblocking team members without direct people management responsibilities * Cross-Functional Communication: Excellent communication skills with a proven ability to translate highly technical data concepts into actionable business strategies for growth marketing and executive teams Preferred Qualifications  * Strong background in causal inference methodologies (e.g., uplift modeling, double machine learning, synthetic controls, geo experiments, non-compliance, confounding and bias)   * Familiar with using AI in daily work  * Experience optimizing large-scale marketing budgets across diverse channels (paid media, affiliates, performance marketing)  * Ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of complex measurement frameworks * Strong intuition for trade-offs between model complexity, interpretability, and business usability  Recruitment Process and Others * Recruitment Process  1. Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer  2. The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.  3. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.  * Things to Consider  1. This job posting may be closed prior to the stated end date for application if all openings are filled.     2. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.     3. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.  * Privacy Notice  1. Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located HERE.  * Document Return Policy  1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.   2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act.  However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company.  In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.  3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email (recruitingops@coupang.com) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail.  Please be informed that the job applicant is required to pay the postage on the registered mail.  4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process.  If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.  5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   As a Data Scientist, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+YEARS of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  Role responsibilities  Fraud & Banking Analytics *  Develop, validate, and maintain supervised and unsupervised models for fraud detection, credit risk scoring, AML typology identification, and transaction anomaly detection. *  Build real-time and near-real-time scoring pipelines integrating with banking event streams (Kafka, Pub/Sub) and decision engines. • Perform deep exploratory analysis of transactional data, customer behavioural signals, merchant data, and graph-based relationship networks to surface fraud patterns. *  Collaborate with compliance, risk, and product teams to translate regulatory requirements (RBI guidelines, PCI-DSS, Basel III) into model design constraints. *  Construct and maintain feature stores covering entity-level aggregations, velocity features, device/network signals, and geospatial behavioural attributes. *  Champion model interpretability using SHAP, LIME, and counterfactual explanations to satisfy audit and regulatory scrutiny.  Generative AI & Deep Learning * Design and fine-tune LLMs (Gemini, GPT-4o, Llama, Mistral) on proprietary banking corpora using PEFT and LoRA for tasks such as SAR narrative generation, dispute summarisation, and customer communication. *  Architect Retrieval-Augmented Generation (RAG) systems grounded in internal knowledge bases — policy documents, fraud rulebooks, regulatory  circulars — with vector stores (Pinecone, Milvus, Weaviate, ChromaDB). *  Apply Computer Vision and NLP to multimodal data pipelines (cheque images, KYC documents, audio call transcripts) for identity verification and fraud triage. • Develop generative models (GANs, VAEs, Diffusion) for synthetic data augmentation to address class imbalance in fraud datasets while meeting data-privacy obligations. *  Build prompt engineering frameworks using LangChain and LlamaIndex; implement chain-of-thought and agentic reasoning for complex investigative workflows.  Engineering & Delivery * Write production-ready Python code adhering to Valtech engineering standards — unit-tested, type annotated, and reviewed. * Operationalise models with MLOps tooling (MLflow, Kubeflow, Vertex AI Pipelines) covering versioning, A/B experimentation, drift monitoring, and automated retraining.  *  Expose model outputs via FastAPI or Flask microservices integrated with banking middleware and case management platforms. *  Work within Agile delivery squads, participate in sprint planning, demo sessions, and client-facing workshops. Governance & Stakeholder Engagement * Enforce Responsible AI principles — bias audits, fairness metrics, model cards, and NeMo Guardrails for deployed LLMs. * Translate complex model behaviour into clear narratives for non-technical stakeholders including compliance officers, fraud investigators, and C-suite sponsors.  MUST HAVE QUALIFICATIONS Fraud & Banking Domain * Proven track record building fraud models (card-not-present, account takeover, synthetic identity, first-party fraud, money-mule networks). * Experience with graph analytics (PyG, DGL, Neo4j) for network-based fraud ring detection. * Familiarity with banking data schemas: ISO 8583, SWIFT MT messages, core-banking extracts, and bureau data (CIBIL/Experian). * Exposure to regulatory frameworks: RBI Master Directions on Fraud, FATF AML/CFT guidelines, PCI-DSS Level 1 environments.  Core AI / ML  * Expertise in supervised learning (XGBoost, LightGBM, neural networks) and unsupervised methods (isolation forest, autoencoders, DBSCAN) for anomaly detection. *  Strong foundations in Computer Vision and NLP; proven experience with multimodal pipelines combining images, text, and structured tabular data. *   Proficiency in PyTorch or TensorFlow for model development and custom training loops. Generative AI Stack * Hands-on with Gemini, OpenAI GPT-4x, and open-source LLMs (Llama 3, Mistral, Phi-3). *  Model fine-tuning using PEFT, LoRA, and QLoRA on domain-specific corpora. *  RAG architecture design: chunking strategies, hybrid retrieval (BM25 + dense), re-ranking, and query routing. *  Vector database proficiency: Pinecone, Milvus, Weaviate, or ChromaDB for semantic search and knowledge grounding. *  Advanced prompt engineering: chain-of-thought, few-shot, structured output, and tool-calling patterns using LangChain or LlamaIndex.  Engineering * Python (primary): pandas, NumPy, scikit-learn, PySpark; clean, production-ready, PEP-8 compliant code with test coverage. *  Cloud: hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Run), AWS (SageMaker, Redshift), or Azure (ML Studio, Synapse). *  SQL proficiency for complex analytical queries across relational and columnar stores (BigQuery, Snowflake, Redshift). *  MLOps fundamentals: experiment tracking (MLflow), containerisation (Docker, Kubernetes), CI/CD pipelines for model deployment. NICE TO HAVE QUALIFICATIONS   * MLOps tooling: MLflow, Kubeflow, Vertex AI Pipelines for end-to-end model lifecycle management. * Responsible AI: bias detection frameworks, model fairness metrics, NeMo Guardrails for safe LLM deployment.  * API Development: wrapping models in production REST APIs using FastAPI or Flask.  * Reinforcement Learning from Human Feedback (RLHF) and self-supervised learning approaches.  * Experience with emerging GenAI architectures: multi-agent systems, mixture-of-experts, speculative decoding. * Databricks (Unity Catalog, Delta Live Tables, MLflow) for large-scale feature engineering and model serving. * Exposure to open-banking APIs and real-time payment rails (UPI, IMPS, RTGS) from a data perspective.  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a Full-Time position based in Bengaluru  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.    Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.    About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.