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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Conviva Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $180,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Mobile Application Development, Cloud Computing, Code Review, Data Files, Cursor (Graphical User Interface Elements), Software Debugging, Github, Design of User Interfaces, Monitoring of Systems, Human-Computer Interaction, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Systems Integration, Data Processing, Scripting, GitHub Copilot, Large Language Models, Apache Spark, Deep Learning, Information Technology, Optimization Algorithms, Machine Learning Operations, Stream Processing, Stream Analytics, Software Version Control, Programming Languages - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-foster-city-ca--e85d02f6-a196-427a-b440-befe3108e103 ## About the Role We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms, and experienced 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., * PhD in Computer Science, Statistics, or related field; or MS with 5+ years of applied ML/data science experience., * Traditional ML: regression, classification, ensemble methods, clustering, dimensionality reduction * Deep Learning & Neural Networks: CNNs, RNNs/LSTMs, Transformers, attention mechanisms * Statistical modeling & algorithms: optimization, Bayesian inference, probabilistic modeling * Proficiency in Python (primary), Scala, or similar languages for production-grade data science. * Demonstrated ability to ship - from POC to scalable, integrated ML solution. * AI-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. * Thrives in fast-paced, ambiguous environments and collaborates effectively across teams. What Would Make You Stand Out (Bonus Points): * Experience with real-time data processing and streaming analytics. * Deep familiarity with time series analysis - forecasting, change-point detection, seasonality decomposition. * Background in building AI-powered alerting, anomaly detection, or intelligent monitoring systems. * Familiarity with cloud-based ML deployment and MLOps practices (model versioning, monitoring, retraining pipelines). * Experience fine-tuning or integrating LLMs/foundation models into analytical or product workflows., Algorithms, Analysis Skills, Artificial Intelligence (AI), Bayesian Networks, Business Operations, Cloud Computing, Code Reviews, Computer Science, Cross-Functional, Customer Experience, Data Processing, Data Science, Data Sets, Debugging Skills, Deep Learning, Forecasting, GitHub, Industry/Trade Analysis, Machine Learning, Neural Networks, Optimization Algorithm, Performance Analysis, Performance Management, Predictive Modeling, Production Systems, Proof of Concept, Prototyping, Python Programming/Scripting Language, Scala Programming Language, Scalable System Development, Statistical Algorithms, Statistical Modeling, Statistics, Team Player, Telemetry, Time Series Analysis, User Interface/Experience (UI/UX), Workflow Analysis ## Description * Design, 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. * Develop innovative approaches for predictive modeling, anomaly detection, and automated alerting using time series and other complex datasets. * Apply the full algorithm spectrum: from classical methods (regression, tree-based ensembles, clustering) to advanced deep learning architectures (transformers, LSTMs, CNNs) as the problem demands. * Support AI initiatives including designing AI-driven alerts and contributing to AI roadmaps. * Develop 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. * Process and analyze large-scale data using Ray and Spark. * Collaborate with cross-functional engineering and product teams to integrate models into production systems. * Stay current with industry trends in AI/ML and bring innovative approaches to the team. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [JavaScript? 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