{"id":4057006,"url":"https://alion.io/job/conviva-data-scientist","title":"Data Scientist","company":{"id":673976,"name":"Conviva","domain":"conviva.ai","url":"https://alion.io/company/conviva","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"Fine-tuning","optional":true}],"status":"live","first_seen_at":"2026-11-11T03:33:27Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T05:43:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.\nWe are looking for a Data Scientist with a strong foundation in Machine Learning, Algorithms, and experience with AI-native development to help drive our AI Initiatives and contribute to the development of our Real-Time Analytics Platform. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems - and who actively leverage AI tools to accelerate their work.\nWhat Success Will Look Like:\nDesign, build, and optimize ML models and solutions - spanning traditional statistical ML, neural networks, and deep learning - to solve real-world problems in large-scale, real-time digital performance analytics.\nDevelop innovative approaches for predictive modeling, anomaly detection, and automated alerting using time series and other complex datasets.\nApply the full algorithm spectrum: from classical methods (regression, tree-based ensembles, clustering) to advanced deep learning architectures (transformers, LSTMs, CNNs) as the problem demands.\nSupport AI initiatives including designing AI-driven alerts and contributing to AI roadmaps.\nDevelop POC code and implement ML solutions that improve product capabilities - using AI coding tools (e.g., Claude, Cursor) natively to accelerate prototyping, code review, and iteration cycles.\nProcess and analyze large-scale data using Ray and Spark.\nCollaborate with cross-functional engineering and product teams to integrate models into production systems.\nStay current with industry trends in AI/ML and bring innovative approaches to the team.\nWho You Are and What You’ve Done:\nPhD in Computer Science, Statistics, or related field; or MS with 3+ years of applied ML/data science experience.\nStrong foundation in:\nTraditional ML: regression, classification, ensemble methods, clustering, dimensionality reduction\nDeep Learning & Neural Networks: CNNs, RNNs/LSTMs, Transformers, attention mechanisms\nStatistical modeling & algorithms: optimization, Bayesian inference, probabilistic modeling\nProficiency in Python (primary), Scala, or similar languages for production-grade data science.\nDemonstrated ability to ship - from POC to scalable, integrated ML solution.\nAI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design - not just awareness, but habitual, productive use.\nThrives in fast-paced, ambiguous environments and collaborates effectively across teams.\nWhat Would Make You Stand Out (Bonus Points):\nExperience with real-time data processing and streaming analytics.\nDeep familiarity with time series analysis - forecasting, change-point detection, seasonality decomposition.\nBackground in building AI-powered alerting, anomaly detection, or intelligent monitoring systems.\nFamiliarity with cloud-based ML deployment and MLOps practices (model versioning, monitoring, retraining pipelines).\nExperience fine-tuning or integrating LLMs/foundation models into analytical or product workflows.\nThe expected salary range for this full-time position is $180,000 - $230,000 + equity + benefits. 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