Data Science Analyst

Key Skills

Analytical and Problem solving, Apache Hadoop, AWS, Databricks, Effective communication skills, Linear Algebra, Looker, Machine learning techniques, PowerBI, Python Programming, R Programming, Snowflake, SPARK Programming, SQL, Statistics

Job Description

KUBRA is in growth mode and currently seeking a Data Science Analyst to join our Service Delivery department!

As a Data Science Analyst, you will be working with both internal and external clients to establish business value hypotheses by leveraging various data sources at KUBRA. You'll get the opportunity to use Business Intelligence and Machine Learning tools to support, disprove, and interpret results to actionable insights, while contributing to define the Business Intelligence group within KUBRA. 

What you get to do every day

• Establish guidelines for data collection
• Identify valuable sources of data and automate collection processes
• Preprocessing of structured and unstructured data to align with data quality standards
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• You will collaborate with implementations, engineering, and product development teams (e.g., Project Managers, Software Engineers, Designers)

What kind of person should you be?

• Have an analytical mind and a good business acumen
• You have superior math skills! (e.g., statistics, algebra)
• You're able to communicate effectively with clients
• You have a drive for problem solving! 
• You're able to present your findings to clients
• You can manage your time effectively
• Willingness to travel as needed 

What skills do you need?

• 4-5 years of previous experience as a Data Scientist / Data Analyst
• Bachelor’s degree in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred
• Experience in data mining with clients
• Understanding of machine-learning and operations research
• Knowledge of quantitative analysis, data visualization tools like Looker, SQL, Python or R and various AWS native services for ML is an asset
• Ability to conduct regression analysis and other data validation techniques to ensure the integrity of the data / established models
• Ability to work with the team / BA (DTSP) / Client to create various personas based on data
• Experience using business intelligence tools (e.g. Power BI) and data frameworks (e.g. Hadoop)
• Preferable to have experience with one or more of Data tools, Databricks, Snowflake, SQL, R, Python, Spark.

What can you expect from us?

• Award-winning culture that fosters growth, diversity and inclusion for all
• Paid day off for your birthday
• Access to LinkedIn learning courses
• Continued education with our education reimbursement program
• Flexible schedules
• Two paid days for volunteer opportunities
• Well-Being Days!