Data Science Manager

Role Overview: You will be responsible for developing Python programs and implementing strong OOPS concepts. Your expertise in CS fundamentals including data structures, algorithm design, and problem-solving will be crucial. Additionally, you will work with workflow management platforms such as Apache Airflow, pachyderm, and MLFlow. AWS Lambda, Step Functions, and State Machines will be utilized for setting up data pipelines. Your experience in a Rapid Prototyping environment will enable you to work independently with minimal guidance. Furthermore, you will apply your knowledge in Machine Learning using Pandas, Scikit-Learn, EDA, PCA, and other data preprocessing techniques. Familiarity with Infrastructure as code platforms like Terraform and AWS CloudFormation is required. Key Responsibilities: - Develop Python programs and apply strong OOPS concepts - Utilize CS fundamentals for data structures, algorithm design, and problem-solving - Work with workflow management platforms such as Apache Airflow, pachyderm, and MLFlow - Implement AWS Lambda, Step Functions, and State Machines for data pipeline setup - Demonstrate experience in a Rapid Prototyping environment - Apply Machine Learning techniques using Pandas, Scikit-Learn, EDA, PCA, and other preprocessing methods - Familiarity with Infrastructure as code platforms like Terraform and AWS CloudFormation Qualifications Required: - Proficiency in Python programming - Strong understanding of OOPS concepts - Knowledge of CS fundamentals including data structures, algorithm design, and problem-solving - Experience with workflow management platforms like Apache Airflow, pachyderm, and MLFlow - Familiarity with AWS Lambda, Step Functions, and State Machines for data pipelines - Previous experience in a Rapid Prototyping environment - Hands-on experience with Machine Learning tools such as Pandas, Scikit-Learn, EDA, PCA, and data preprocessing techniques - Exposure to Infrastructure as code platforms like Terraform and AWS CloudFormation Please note that the additional details of the company were not provided in the job description. Role Overview: You will be responsible for developing Python programs and implementing strong OOPS concepts. Your expertise in CS fundamentals including data structures, algorithm design, and problem-solving will be crucial. Additionally, you will work with workflow management platforms such as Apache Airflow, pachyderm, and MLFlow. AWS Lambda, Step Functions, and State Machines will be utilized for setting up data pipelines. Your experience in a Rapid Prototyping environment will enable you to work independently with minimal guidance. Furthermore, you will apply your knowledge in Machine Learning using Pandas, Scikit-Learn, EDA, PCA, and other data preprocessing techniques. Familiarity with Infrastructure as code platforms like Terraform and AWS CloudFormation is required. Key Responsibilities: - Develop Python programs and apply strong OOPS concepts - Utilize CS fundamentals for data structures, algorithm design, and problem-solving - Work with workflow management platforms such as Apache Airflow, pachyderm, and MLFlow - Implement AWS Lambda, Step Functions, and State Machines for data pipeline setup - Demonstrate experience in a Rapid Prototyping environment - Apply Machine Learning techniques using Pandas, Scikit-Learn, EDA, PCA, and other preprocessing methods - Familiarity with Infrastructure as code platforms like Terraform and AWS CloudFormation Qualifications Required: - Proficiency in Python programming - Strong understanding of OOPS concepts - Knowledge of CS fundamentals including data structures, algorithm design, and problem-solving - Experience with workflow management platforms like Apache Airflow, pachyderm, and MLFlow - Familiarity with AWS Lambda, Step Functions, and State Machines for data pipelines - Previous experience in a Rapid Prototyping environment - Hands-on experience with Machine Learning tools such as Pandas, Scikit-Learn, EDA, PCA, and data preprocessing techniques - Exposure to Infrastructure as code platforms like Terraform and AWS CloudFormation Please note that the additional details of the company were not provided in the job description.