Staff Software Development Engineer

Qualifications

• B.Tech / M.Tech in Computer Science, Statistics, Mathematics, Data Science, or a related field is required.
• 7+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles, with a proven track record of success.
• Proficiency in Python and SQL, with hands-on experience in TensorFlow and/or PyTorch for model development.
• Experience with data engineering and cloud data platforms, including ETL/ELT pipelines and working with RDBMS and NoSQL databases on Azure, AWS, or GCP.
• Solid understanding of statistical modeling, probability theory, hypothesis testing, and data preprocessing techniques.
• Experience working with large-scale structured and unstructured datasets, and the ability to handle and process big data.
• Proficiency in data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn to present insights effectively.
• Familiarity with big data technologies like Spark and Hadoop is preferred.
• Strong problem-solving skills, analytical thinking, and the ability to communicate complex ideas to both technical and non-technical audiences.
• Experience in [industry domain – telecom, finance, healthcare, or embedded systems] is an advantage.
• - B.Tech / M.Tech in Computer Science, Statistics, Mathematics, Data Science, or a related field is required. - 7+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles, with a proven track record of success. - Proficiency in Python and SQL, with hands-on experience in TensorFlow and/or PyTorch for model development. - Experience with data engineering and cloud data platforms, including ETL/ELT pipelines and working with RDBMS and NoSQL databases on Azure, AWS, or GCP. - Solid understanding of statistical modeling, probability theory, hypothesis testing, and data preprocessing techniques. - Experience working with large-scale structured and unstructured datasets, and the ability to handle and process big data. - Proficiency in data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn to present insights effectively. - Familiarity with big data technologies like Spark and Hadoop is preferred. - Strong problem-solving skills, analytical thinking, and the ability to communicate complex ideas to both technical and non-technical audiences. - Experience in [industry domain – telecom, finance, healthcare, or embedded systems] is an advantage.