Job Openings at Kava - 2 Positions

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Ability to work with both structured and unstructured data and come up with solutions and strategies to business challenges.
• Ability to process data and present it through visuals and communicate to both a technical and non-technical audience.
• Knowledge of advanced statistical techniques and concepts.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Ability to develop custom data models and algorithms to apply data sets.
• Ability to develop processes and tools to monitor and analyze model performance and data accuracy.

• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Understanding of machine-learning and operations research.
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics, algebra).
• Problem-solving aptitude.
• Excellent communication and presentation skills.
• Advanced Degree or BSc/BA in Computer Science, Engineering, Mathematics or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• A drive to learn and master new technologies and techniques.

go to method of application »

Job Requirements

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data.
• Ability to clean up, manipulate, analyse and interpret complex data sets relating to the business
• Analyzing interesting trends found in the data.
• Creating visualizations and dashboards to help the company interpret and make decisions with the data.
• Experience in preparing and presenting reports for internal and external audiences using business analytics reporting tools.
• Exposure to a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)

• Proven experience as a Data Analyst.
• Experience in data mining.
• Knowledge of statistical computer languages (R, SQL and Python)
• Analytical mindset.
• Strong math skills (e.g. statistics, algebra).
• Problem-solving aptitude.
• Excellent communication and presentation skills.
• BSc/BA in Computer Science, Engineering, Mathematics or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Interest to learn and master new technologies and techniques.