Senior Data Scientist |Hydrabad|7+ Years

The Senior data scientist will help shape high-impact business recommendations and oversee junior data scientists. Discover insights through data analysis to support business development and enterprise strategies. In the long-term lead data-driven decisions and projects. Define potential long-term business problems and guide related data preparation and machine learning development to solve them.

• A bachelor’s degree in computer science, data science, statistics or related field. A master’s degree in data science, information science or similar is preferred.
• Hands-on experience in data analytics, data science, machine learning, deep learning
• Proven ability in using exploratory analysis and preparing structured and unstructured data to draw conclusions
• Ability to lead machine learning projects and modeling initiatives
• Fluency in Python and SQL for data science
• Advanced knowledge of data analysis, cleaning and preparation
• Understanding of machine learning, deep learning and modeling tools
• Expertise in programming and scripting languages (C++, Java, Python, R, Scala, SAS, SQL)
• Experience with statistical analysis and modeling techniques

Key Skills

• Analytical thinking skills, Story Telling, Excellent verbal and written communication
• Python, PyTorch, TensorFlow, R, SAS, Scala, SQL, PowerBI, Tableau, C++, Java

• Identify areas for business improvement and how to use data modeling to support strategies
• Lead machine learning model development projects to forecast business predictions like market trends,
• Customer behavior and investment opportunities
• Conduct exploratory data analysis and clean data to prepare information for model input
• Communicate findings to enterprise stakeholders and management
• Extracting important information from unstructured data when needed

Skills

• Hands-on experience in data analytics, data science, machine learning, deep learning
• Proven ability in using exploratory analysis and preparing structured and unstructured data to draw conclusions
• Ability to lead machine learning projects and modeling initiatives
• Fluency in Python and SQL for data science
• Advanced knowledge of data analysis, cleaning and preparation
• Understanding of machine learning, deep learning and modeling tools
• Expertise in programming and scripting languages (C++, Java, Python, R, Scala, SAS, SQL)
• Experience with statistical analysis and modeling techniques