Data Scientist, Digital Venture

Posted 2 months agoViewed

🔍 Industry: Software Development

🏢 Company: Makro PRO

🗣️ Languages: English

Requirements:

Fluency in a high-level modeling language such as MATLAB, R, Stata, etc.

Fluency in a software programming language such as Python, C++, Java, etc

Hands-on knowledge in any of the following visualization tools: Tableau, D3, Ggplot, PowerBI

Deep understanding of high performance algorithms and implementation

Expert knowledge of data modeling and understanding of different data structures – demonstrable ability to design and implement highly scalable data use cases and models

Experience in consumer/retail/e-commerce data science (e.g., machine learning applied for churn analysis, recommender systems, personalization etc.) preferred

Excellent problem solving, critical thinking, and communication skills

Ability to convey rigorous mathematical concepts and considerations to non-experts

Ability to distill problem definitions, models, and constraints from informal business. requirements; and to deal with ambiguity and competing objectives

Demonstrated experience with agile or other rapid development methods

Professional attitude and service orientation; superb team player

Basic understanding of programming, statistics, machine learning, data munging, and data visualization

Attention to detail and the ability to effectively present results

Strong communication skills, orally and in writing

Passion for innovation and “can do” attitude

Strong work ethic; ability to work at an abstract level and gain consensus

Attitude to thrive in a fast-paced environment

Responsibilities:

Designs, develops, and implements end-to-end cloud based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)

Ensures that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company

Enables big data and batch/real-time analytical solutions that leverage emerging technologies

Collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms

Translates complex functional and technical requirements into detailed architecture, design, and high performing software

Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics

Implements security and recovery tools and techniques as required

Works with Data Science Lead and developers to make sure that all data solutions are consistent

Ensures all automated processes preserve data by managing the alignment of data availability and integration processes

Develops standards and processes for integration projects and initiatives

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