Responsibilities for Data Scientist

• Work with stakeholders throughout the organization to build proof of concepts for new business solutions.
• Efficiently explore new data sources and assess data gathering techniques.
• Help to conceptually frame and refine relevant business questions.
• Build robust data pipelines.
• Develop custom machine learning models and algorithms.
• Coordinate with different functional teams to implement and productionize models while monitoring the performance.
• Communicate findings to different stakeholders.

Essential Skills and Qualifications for Data Scientist

• At least 3 years experience in a Data Science role
• Strong critical thinking and problem-solving skills.
• Experience using statistical computer languages (preferably python or R) to manipulate data and draw insights from large data sets.
• Experience working with databases (e.g. SQL).
• Profound knowledge of a variety of machine learning techniques (clustering, classification, regression, deep learning) and their real-world advatages/drawbacks.
• Good knowledge of advanced statistical techniques and concepts (hypothesis testing, Bayesian statistics, properties of distributions) and experience with applications.
• Excellent written and verbal communication skills for coordination and communication.
• Curiosity and research attitude to learn new ideas and techniques.
• Coding experience (preferably python) to write robust and high standard code; experience with version control (preferably git)