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