Data Science Team Lead Position
1 week ago
We are seeking an experienced Data Science Team Lead to lead our team of Machine Learning and Artificial Intelligence engineers in developing and productionizing end-to-end Big-data science projects at enterprise scale.
• The ideal candidate will have a track record of delivering high-quality results and a strong ability to write efficient Big-Data pre-processing and ETL pipelines with consistency, veracity, and reproducibility.
• Experience in various Big Data Science projects such as Churn Modeling, Risk Modeling, Up-sell/Cross sell Propensity, Market-Basket Analysis, Fraud Detection, Predictive/Econometric Modeling, Recommender systems, Next Best Action Modeling, Time Series analysis and Forecasting, Anomaly detection, Segmentation, Campaign planning is required.
• Expert knowledge of statistical modeling (like GLMs, Time series analysis, Hypothesis testing, Clustering, Bayesian modeling, Causal modeling, Design of experiments) and classical ML concepts and algorithms (XGBOOST, Random forests, SVM, Bagging, Boosting, Kernel methods etc.) is necessary.
• Proficiency in Python/SQL and working knowledge of BigData frameworks such as PySpark (MLlib)/HIVE/HADOOP is expected.
• Good computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance are also required.
The salary for this position is estimated to be around $120,000 - $180,000 per year, based on industry standards and location. If you are a motivated and experienced professional looking to take on a leadership role in data science, please apply for this exciting opportunity.
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