Live opening · Posted 26 days ago
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Description supplied by the original job listing.
Responsibilities:
Analyze large and complex datasets to derive actionable business insights.
Develop, train, and deploy Machine Learning and Statistical models.
Build predictive models for forecasting, classification, recommendation, and optimization use cases.
Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Monitor model performance and continuously improve model accuracy and efficiency.
Create dashboards, reports, and visualizations to communicate findings to stakeholders.
Requirements:
Strong proficiency in Python and SQL.
Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Strong understanding of Statistics, Probability, and Data Modeling.
Experience with Data Visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn.
Knowledge of NLP, Deep Learning, or Generative AI is a plus.
Experience working with cloud platforms (AWS, GCP, or Azure) is preferred.
Experience
2-6 yrs
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