Responsibilities for Data Scientist:

• Undertake to preprocess of structured and unstructured data
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Present information using data visualization techniques
• Identify valuable data sources and automate collection processes
• Analyze large amounts of information to discover trends and patterns
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Qualifications for Data Scientist

• Proven experience as a Data Scientist and advanced analytical knowledge of data
• Experience using business intelligence tools (e.g. Tableau, Power BI – not mandatory)
• Conceptual understanding of various modelling techniques, pros and cons of each technique
• Strong problem-solving skills with an emphasis on product development.
• Programming advanced computing, Developing algorithms and predictive modelling experience
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, XGboost, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Demonstrated experience applying data science methods to real-world data problems