Opportunity Description
Job Description.
Strong Data Science + ML Engineer with 7+ years of experience in traditional machine learning and statistical modelling. The candidate should have strong expertise in time series analysis, clustering, predictive analytics, forecasting, regression, classification, feature engineering, and model selection.
The role requires hands-on capability to frame business problems, choose the right algorithms, build and validate models, and work with stakeholders to deliver scalable and actionable insights.
Must Have skills:
7+ years in Data Science / ML / Advanced Analytics
Strong hands-on experience in time series, forecasting, clustering, predictive modelling
Strong understanding of algorithm selection and model evaluation
High Proficiency in Python, SQL, pandas, numpy, scikit-learn, etc
Strong Experience in data wrangling, feature engineering, and model tuning
Strong stakeholder communication and problem-solving skills
Strong GCP skills
Strong Data Science + ML Engineer with 7+ years of experience in traditional machine learning and statistical modelling. The candidate should have strong expertise in time series analysis, clustering, predictive analytics, forecasting, regression, classification, feature engineering, and model selection.
The role requires hands-on capability to frame business problems, choose the right algorithms, build and validate models, and work with stakeholders to deliver scalable and actionable insights.
Must Have skills:
7+ years in Data Science / ML / Advanced Analytics
Strong hands-on experience in time series, forecasting, clustering, predictive modelling
Strong understanding of algorithm selection and model evaluation
High Proficiency in Python, SQL, pandas, numpy, scikit-learn, etc
Strong Experience in data wrangling, feature engineering, and model tuning
Strong stakeholder communication and problem-solving skills
Strong GCP skills
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