Duties and Responsibilities:

• Planning data projects
• Building analytic systems and predictive models
• Managing a team of data scientists, machine learning engineers and big data specialists

• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

·         Selecting features, building and optimizing classifiers using machine learning techniques

·         Data mining using state-of-the-art methods

·         Extending company’s data with third party sources of information when needed

·         Enhancing data collection procedures to include information that is relevant for building analytic systems

·         Processing, cleansing, and verifying the integrity of data used for analysis

·         Doing ad-hoc analysis and presenting results in a clear manner

·         Creating automated anomaly detection systems and constant tracking of its performance.

Qualifications and Requirements

• Proven 8 years experience as a Data Scientist or similar role
• Solid understanding of machine learning
• Knowledge of data management and visualization techniques
• A knack for statistical analysis and predictive modeling
• Good knowledge of R, Python and MATLAB
• Experience with SQL and NoSQL databases
• Strong organizational and leadership skills
• Excellent communication skills
• A business mindset
• Degree in Statistics, Computer Science, Data Science, Mathematics or similar field

·         Technical expertise regarding data models, Machine Learning, Deep Learning, Computer Vision, Database Design Development, Data Mining and Segmentation Techniques is a must.

·         Strong knowledge and experience with reporting packages (Business objects, etc) database (SQL), programming (XML, Javascript, ETL Frameworks)

·         Knowledges of statistic and experience using statistical packages for analyzing datasets (Excel, SPSS etc)