Responsibilities:
Collaborate with business and product teams to understand their analytical needs, and translate them into data requirements with clearly defined data metrics and definitions.
Create a predictive model.
Build dashboards and reports to visualize and interpret business data in supporting business decision-making.
Perform in-depth analysis of ARIA business, present results to varied audiences, and translate insights to actionable recommendations.
Understanding business objectives and developing a framework to achieve them, along with metrics to track their progress.
Design and develop ETL processes to ingest data into the data warehouse, and transform data into data suitable for analytics needs.
Defining the pre-processing or feature engineering to be done on a given dataset.
Analyzing the ML algorithms that could be used to solve a given problem.
Evaluate the errors of production and design strategies to overcome them.
Deploying until its production.

Requirements:
Bachelor’s degree or above qualifications in Statistic, Tech, Engineering or Math.
Proven experience as a Data Scientist or Data Analyst
Experienced in data visualization with an understanding of machine-learning and operations research.
Experienced in statistical modeling is a plus
knowledge of R, SQL and Python; familiarity with Java or C++ is an asset
Experience using business intelligence tools (e.g. Metabase) and data framework.
Strong problem solving skills.
Strong resolve on facing uncertainties and new challenges
Ability to think clearly under pressure
Having a growth mindset