Data Scientist (ON Contract)

The main responsibilities are as follows:

• Research and develop analytical solutions for increasing reliability of our products through recommendations/insights and quantitative models.
• Collaborate with product and engineering departments to understand company needs and devise possible solutions.
• Keep up-to-date with the latest technology trends.
• Communicate results and ideas to key decision makers.
• Implement new statistical or other mathematical methodologies as needed for specific use cases or analysis.
• Involved in developing next-gen analytical solutions or products.
• Optimize joint development efforts through appropriate database use and project design.
• Manage existing analytical solutions development and provide recommendations or insights to further enhance and add value to the existing solution.
• Deliver analytics value by working closely with data engineering, product area, customers and larger data science community within the company to deliver value.

Your profile

You have a university degree in Mathematics, Software Engineering or another relevant field (or equivalent), and between 3-7 years of experience into data science. You have a solid track record of designing, developing and deploying analytical solutions. You have the needed experience with relevant ICT-technologies which we see are some of the following:

• Strong and extensive hands-on experience with Artificial intelligence, Machine Learning, and Predictive Modeling techniques.
• Strong and extensive hands-on experience with Python, R and SQL programming
• Experience designing, developing analytical solutions using algorithms like Neural Networks, Random Forest, Regression, Clustering etc.
• Exposure to either Pytorch or Tensorflow.
• Hands on experience in deploying analytical solutions and creating needed data science pipelines for deployment support.
• Hands-on experience designing and developing analytical solutions for Preventive maintenance, IOT and Reliability analytics.
• Experience with Azure Data Lake, Azure Blob storage, Azure SQL Database, Azure Data Bricks, SQL Server and other open source databases
• Experience with Big Data Technology Stack: Hadoop/Spark/ Hive/PySpark.
• Exposure to Azure cloud, preferably data heavy/analytics applications leveraging relational and NoSQL databases, data warehouse, and big data.
• Project experience using/building solutions using Python or R with data layer being- Azure cloud or data lake storage.
• Experience handling both unstructured and structured data for analytics.
• Hands-on experience of visualization tools like Power BI, Qlikview or Tableau.
• Knowledge of data engineering and data modeling concepts.