Chief Analytics Officer

18 hours ago


mangalore, India beBeeDataScience Full time

Machine Learning EngineerThis role can be part-time or full-time, and is offered as a remote position. We are looking for an individual with 5–7 years of experience in applied machine learning, statistical modeling, and data analytics.Build predictive and statistical models (classification, regression, uplift, clustering, forecasting).Develop feature-engineering pipelines using large datasets from various sources.Conduct exploratory data analysis (EDA) to identify patterns, segment behaviors, and business opportunities.Collaborate with product, data engineering, and business teams to define analytical requirements.Design and evaluate A/B/n experiments and support experimentation frameworks.Create production-ready model pipelines in collaboration with ML engineers.Monitor model performance, drift, and KPI impact over time.Required Skills:5–7 years of experience in Data Science, Machine Learning, or Applied Analytics.Strong programming experience in Python (Pandas, NumPy, Scikit-learn) and SQL.Proficiency in ML algorithms: tree-based models, logistic regression, clustering (k-means), time-series, uplift modeling, etc.Solid understanding of statistics, probability, hypothesis testing, and experiment design.Hands-on experience with cloud platforms (AWS, Azure, GCP) or Databricks.Familiarity with model deployment workflows and MLOps fundamentals.Nice to Have:Experience with telecom analytics (churn, segmentation, ARPU, price elasticity).Exposure to recommender systems, reinforcement learning, or simulation models.



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