Senior Data Scientist (Time Series + ML)
Cisco (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own development and enhancement of Causal AI-based demand forecasting models integrating global financial, macro and micro-economic factors.
- Engineer features from diverse datasets, build robust, accurate structural causal models, and push research boundaries for scalable enterprise forecasting solutions.
- Collaborate cross-functionally with business and supply chain teams; mentor junior data scientists and provide technical leadership.
Minimum Requirements
- 6+ years in Advanced Analytics with a Master's degree or 4+ years with a PhD in quantitative fields like Mathematics, Economics, Computer Science, or related.
- Strong foundation in AI/ML with theoretical and practical expertise in Causal machine learning approaches.
- Proficiency in Python, SQL, git, and demonstrated skills in data wrangling, mining, and problem-solving using ML, including real-time environments.
- Excellent communication skills to explain complex AI/ML concepts to non-technical stakeholders.
Ideal Candidate Profile
- Experienced in applying Causal AI and structured causal modeling specifically in time series and demand forecasting contexts.
- Familiarity with global financial markets, macro/micro economics, and financial datasets relevant to forecasting.
- Proven leadership capabilities including mentoring, project management, and cross-functional influence in analytics-driven environments.