Intermediate Data Scientist - Bees Data
Core
Develop and implement machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
Role type
Intermediate IC data scientist (ML/DL)
Builds
ML models for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery
Domain
B2B e-commerce and SaaS (BEES)
Deliverable
production ML models
Required skills
machine learning algorithms, deep learning algorithms, portfolio optimization, recommendations, personalization, promos, segmentation, imputation, insights discovery, TensorFlow, PyTorch, Azure, Databricks, Spark, Python, PySpark
Preferred skills
CI/CD tools, automation workflows
Technologies
Azure, Databricks, Spark, TensorFlow, PyTorch, Python, PySpark, Github
Responsibilities
Analyze complex datasets, develop and implement cutting-edge machine learning and deep learning algorithms, utilize cloud platforms to process large-scale datasets, implement automation workflows, collaborate with cross-functional teams
Seniority
Intermediate, hands-on IC
