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Job Description
Structured overview of role & requirementsAbout This Role
Translate ambiguous business and product requests into clear AI/ML use cases and manage expectations with stakeholders.
Lead end-to-end data science processes on IoT and sensor data including feature engineering, model selection, experimentation, and validation, primarily in time series, forecasting, and anomaly detection.
Build, evaluate, and deliver reusable, production-ready predictive and optimization models and data products using Databricks, with strong version control and API-oriented solution design.
Minimum Requirements
6+ years of experience in data science, machine learning, or applied AI delivering business-impacting solutions.
Strong programming skills in Python, PySpark, and SQL.
Experience with IoT, sensor, or telemetry data including handling irregular intervals and data quality issues.
Hands-on experience with Databricks for ML workflows; familiarity with MLflow preferred.
Ideal Candidate Profile
Experienced in cross-functional partnership with product, engineering, and business teams to convert problems into production AI/ML solutions with measurable business impact.
Strong expertise in time series and sequential data modeling specifically for operational and IoT data domains.
Competence in designing maintainable data and analytics products with reproducible workflows and supporting scalable deployments through version control and DevOps practices.