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Lead Data Scientist
3 months ago
Position: Lead Data Scientist
Experience: 6+Years
Notice Period: Immediate - 15 days
Location: Bangalore
Primary skills: Data Science, Python, pyspark, Machine Learning, Statistical Models, Classification, clustering and regression, Azure environment databricks
Requirements:
· Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
· Expert-level proficiency in Python, including libraries such as pandas, numpy, scikit-learn, and matplotlib.
· Hands-on experience with pyspark and Azure Databricks for large-scale data processing and model deployment.
· Strong background in statistical modeling, hypothesis testing, and advanced analytics.
· Deep understanding of machine learning concepts and algorithms.
· Proficiency in developing classification, clustering, and regression models.
· Excellent analytical and problem-solving skills with strong attention to detail.
· Ability to communicate complex technical concepts to non-technical stakeholders effectively.
· Strong business acumen and the ability to understand and address business needs.
· Experience with data visualization tools and techniques.
· Familiarity with other data processing tools and languages is a plus (e.g., SQL, R).
· Knowledge of best practices in data management and security.
Responsibilities
· Develop, implement, and optimize statistical models and machine learning algorithms for classification, clustering, and regression.
· Perform hypothesis testing and other statistical analyses to validate models.
· Use pyspark for distributed data processing and large-scale data analysis.
· Design and deploy machine learning models in Azure Databricks.
· Conduct experiments to evaluate and improve model performance.
· Stay updated with the latest advancements in machine learning and apply them to our practices.
· Mentor and guide junior data scientists and analysts in best practices and advanced analytical techniques.
· Contribute to the continuous improvement of our data science processes and methodologies.
Requirements
Data Scientist, Python, Pyspark, ML