• Developing data science solutions to business challenges.
• Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.
• Integrating models into production on a weekly or even daily basis
• Work closely with the customer and the Product Owner day-to-day
• Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
• Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
• Learning new engineering practices, technologies and continuously improving our Agile practices
• Special Challenges:
• Rapid onboarding on projects, understanding analytics goal and working with ill-
  defined datasets
• Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe

• Experience on data science projects.
• Broad experience and knowledge in Statistics, Machine Learning and data engineering.
• Awareness of issues in statistics and dependence on data quality
• A practical approach to problem solving and attention to detail.
• Passion for and expertise in practicing data science to solve real-world customer problems.
• Excellent oral and written communication skill.
• Strong interpersonal skill and enthusiasm for teamwork, as well as the ability to work independently.
• High standards of code quality, making use of version control tools.
• Proficiency in statistical software packages such as R, Python, Matlab.
• Good knowledge of cloud environment like specifically Azure is required.
• Experience in Agile working methodology

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.