Senior Data Scientist - ML & Algorithms Focus at Conviva

Foster City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

200000.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Algorithms, Predictive Modeling, Anomaly Detection, Time Series Forecasting, Data Analysis, Python, Scala, Ray, Spark, AI Initiatives, Cross-Functional Collaboration, Statistical Modeling, Real-Time Data Processing, Cloud-Based ML Deployment, MLOps

Industry

Software Development

Description

Conviva helps the world’s top brands to identify and act on growth opportunities across mobile and web apps, video streaming services, and Agentic AI experiences. Our platform delivers real-time performance analytics to transform every customer interaction into actionable insight, connecting experience, engagement, and technical performance to business outcomes. By analyzing client-side session data from all users as it happens, Conviva reveals not just what happened, but how long it lasted and why it mattered—surfacing behavioral and experience patterns that give teams the context to retain more customers, resolve issues faster, and grow revenue. We are looking for a Data Scientist with strong foundation in Machine Learning and Algorithms to help drive our AI Initiatives and contribute to the development of our Real-Time Performance Analytics Platform. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics and a passion for building scalable, intelligent systems. You'll work on developing and deploying advanced ML models - including predictive modeling, anomaly detection, and time series forecasting within a high-performance, production-grade environment. What Success Will Look Like: Design, build and optimize machine learning models and solutions to solve real-world problems in large-scale real-time digital performance analytics. Develop innovative approaches for predictive modeling, anomaly detection, and automating alerting using time series and other complex datasets. Support AI initiatives, including designing AI-driven alerts and contributing to AI roadmaps. Work with time series data and other complex datasets to develop predictive and anomaly detection models. Develop proof-of-concept (POC) code and implement ML solutions that improve product capabilities. Process and analyze large-scale data using Ray and Spark. Collaborate with cross-functional teams, including engineering and product teams, to integrate models into production systems. Stay up to date with industry trends in AI, machine learning, and data science to bring innovative ideas to the team. Who You Are and What You've Done: PhD in Computer Science, Statistics or a related technical field; or MS in Computer Science/Statistics with 3+ years of experience in applied ML or data science roles. Strong foundation in machine learning, statistical modeling, and algorithms with experience in predictive modeling and data analysis. Proficiency in coding and programming for data science applications (e.g., Python, Scala, or similar languages) Ability to develop POC code and implement ML models into scalable solutions. Thrive in fast-pace, ambiguous environments and effectively collaborate across teams. What Would Make You Stand Out (Bonus Points): Experience with real-time data processing and analytics. Familiarity with time series analysis and forecasting techniques. Background in building AI-powered alerts, anomaly detection, or similar AI driven applications. Familiarity with cloud-based ML deployment and MLOps best practices. The expected salary range for this full-time position is $170,000 - $200,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location. Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!

Responsibilities

Design, build, and optimize machine learning models and solutions for real-time digital performance analytics. Collaborate with cross-functional teams to integrate models into production systems.