or apply directly on Conviva's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Conviva's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- Yes 63% of Conviva's roles list one
- Ghost-job risk at Conviva
- high 7 stale, 0 reposted of 8 open
- Hiring momentum
- 12 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Conviva's own greenhouse board since 2026-08-03. Full hiring picture for Conviva.
About this role
As a Senior Data Scientist at Conviva, you will design, build, and optimize machine learning models and solutions for real-time digital performance analytics. Your role involves developing predictive models, anomaly detection systems, and implementing machine learning solutions while collaborating with cross-functional teams. You will also leverage AI tools to enhance your workflow and stay updated with industry trends in AI and machine learning.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Conviva as an employer.
What you need
- PhD in Computer Science, Statistics, or related field; or MS with 5+ years of applied ML/data science experience
- Strong foundation in traditional ML: regression, classification, ensemble methods, clustering, dimensionality reduction
- Deep Learning & Neural Networks: CNNs, RNNs/LSTMs, Transformers, attention mechanisms
- 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
Nice to have
- 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
What you get
- Equity
- Benefits
Worth weighing
- No specific mention of work-life balance or remote work options
- The role requires a strong technical background and hands-on experience, which may be demanding
- The expected salary range is provided, but actual compensation may vary based on multiple factors
Summarised from Conviva's posting. Read the full original.
Listed by Conviva on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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