Data Scientist Code DS-102

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Job Description


Analyze raw data: assessing quality, cleansing, and data structuring Generate actionable insights for business improvements

Design accurate and scalable prediction algorithms

Designing models and analyzing the customer behavior in relation to the basket contents and value that lead to spotting opportunities in customer needs Segmenting and grouping customer base based on different elements to be CVM targeted

Evaluating the campaign’s performance to identify the incremental value


-Bachelor’s degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

-At least 2 years’ of experience in data modeling and machine learning.

– Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms

-Experienced in Python and SQL

-Experienced in visualization tools such as Power BI

-Familiarity with Big Data frameworks is a plus

-Responsibility, ownership, and decency are the most important candidate qualities we are looking for.

    money back