Position: Data Scientist
Company: WiserBrand
Experience required: 3y
Category: Data Science
English level: upper
Published: 2022-11-01T00:00:00+02:00

We are looking for an experienced Data Scientist Engineer to join our team.

**Requirements:**
• 4+ years of experience with deployment of machine learning and statistical models on a cloud 
• Good knowledge in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learn-ing
• Proven ability to apply modeling and analytical skills to real-world problems
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.)
• Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++
• English — Upper Intermediate or higher

**Responsibilities:**
• Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver in-sights and actionable prediction of customer behavior and operations performance
• Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques
• Develop custom data models and algorithms to apply to data sets and run proof of concept studies
• Collaborate with software engineers to implement and test production quality code for AI/ML models
• Develop processes and tools to monitor and analyze data accuracy and models’ performance
• Demonstrate software to customers and perform value proving benchmarks

**We offer:**
• A full-time job and a long-term contract
• Flexible working hours with compensated overtime
• Official employment, managing your taxes and accounting
• Career and professional growth opportunities
• High salary (determined during the job interview), regular performance reviews
• Paid vacation and sick leave
• Optional benefits package that include Health insurance, Gym membership, English courses, compensation of certification, courses, and training
• Creative and lively team of IT specialists, adequate management and zero unnecessary bureaucracy