Data Scientist Tech – Data Engineering · Amman

13 سبتمبر، 2022

0 3 5 دقائق

الوصف الوظيفي

Tech – Data Engineering · Amman
Data Scientist
ArabyAds was founded in 2013 and we help our clients to acquire customers at scale using data & technology across diverse set of digital advertising inventories which are managed through four of our platforms i.e. Checkout (social commerce), iConnect (influencer marketing), Adfalcon (programmatic advertising) & DeviceBoost. We are a team of +260 passionate people across UAE, Egypt, KSA, Jordon, Lebanon & Tunisia. We are agile, fast-growing, interdisciplinary team of passionate experts in media planning, influencer marketing, consumer research, developers & coders, data scientist, artificial intelligence, and machine learning with a shared mission to create sustainable value for our clients. ArabyAds is proud to be an equal opportunity employer regardless of your race, colour, gender, religion, age, disability, or marital status. We currently have people from 16 nationalities across our 6 locations and are happy to celebrate all festivals.
Job requirements :

Programming Skills – knowledge of statistical programming languages like R, , and database query languages like SQL Hive, Pig is desirable. Familiarity with Scala, Java , or C++ is an added advantage.

Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.

Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.

Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.

Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.

Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data

Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.

Strong Software Engineering Background

Hands-on experience with data science tools

Problem-solving aptitude

Analytical mind and great business sense

Degree in Computer Science, Engineering or relevant field is preferred

2+ Proven Experience as Data Analyst or Data Scientist
Job Duties :

Data mining or extracting usable data from valuable data sources

Using machine learning Tools to select features, create and optimize classifiers

Carrying out preprocessing of structured and unstructured data

Enhancing Data Collection procedures to include all relevant information for developing analytic systems

Processing, cleansing, and validating the integrity of data to be used for analysis

Analyzing large amounts of information to find patterns and solutions

Developing prediction systems and machine learning algorithms

Presenting results in a clear manner

Propose solutions and strategies to tackle business challenges

Collaborate with Business and IT teams
Tech – Data Engineering · Amman
Data Scientist
Privacy policy for recruitment using Teamtailor
The service for handling recruitments and simplifying the hiring process (the "Service") is powered by Teamtailor on behalf of ArabyAds ("Controller" “we” “us” etc.). It is important that the persons using the Service ("Users”) feel safe with, and are informed about, how we handle User's personal data in the recruitment process. We strive to maintain the highest possible standard regarding the protection of personal data. We process, manage, use, and protect User's Personal Data in accordance with this Privacy Policy ("Privacy Policy").
1. General
We are the controller in accordance with current privacy legislations. The Users’ personal data is processed with the purpose of managing and facilitating recruitment of employees to our business.
2. Collection of personal data
We are responsible for the processing of the personal data that the Users contributes to the Service, or for the personal data that we in other ways collects with regards to the Service.

When and how we collect personal data

make an application through the Service or otherwise, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn; and

use the Service to connect with our staff, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn.

provides identifiable data in the chat (provided through the website that uses the Service) and such data is of relevance to the application procedure;
We collect data from third parties, such as Facebook, LinkedIn and through other public sources. This is referred to as “Sourcing” and be manually performed by our employees or automatically in the Service.
In some cases, existing employees can make recommendations about potential applicants. Such employees will add personal data about such potential applicants. In the cases where this is made, the potential applicant is considered a User in the context of this Privacy Policy and will be informed about the processing.

The types of personal data collected and processed

The categories of personal data that can be collected through the Service can be used to identify natural persons from names, e-mails, pictures and videos, information from Facebook and LinkedIn-accounts, answers to questions asked through the recruiting, titles, education and other information that the User or others have provided through the Service. Only data that is relevant for the recruitment process is collected and processed.

Purpose and lawfulness of processing

The purpose of the collecting and processing of personal data is to manage recruiting. The lawfulness of the processing of personal data is our legitimate interest to simplify and facilitate recruitment.
Personal data that is processed with the purpose of aggregated analysis or market research is always made unidentifiable. Such personal data cannot be used to identify a certain User. Thus, such data is not considered personal data.

The consent of the data subject

The User consents to the processing of its personal data with the purpose of Controller’s handling recruiting. The User consents that personal data is collected through the Service, when Users;

make an application through the Service, adding personal data about themselves either personally or by using a third-party source as Facebook or LinkedIn, and that Controller may use external sourcing-tools to add additional information; and

when they use the Service to connect to Controller’s recruitment department, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn.
The User also consents to the Controller collecting publically available information about the User and compiles them for use in recruitment purposes.
The User consents to the personal data being collected in accordance with the above a) and b) will be processed according to the below sections Storage and transfer and How long the personal data will be processed.
The User has the right to withdraw his or her consent at any time, by contacting Controller using the contact details listed under 9. Using this right may however, mean that the User can not apply for a specific job or otherwise use the Service.

Storage and transfers

The personal data collected through the Service is stored and processed inside the EU/EEA, or such third country that is considered by the European Commission to have an adequate level of protection, or processed by such suppliers that have entered into such binding agreements that fully complies with the lawfulness of third country transf