Lead Data Scientist

16 سبتمبر، 2022

0 5 5 دقائق

Lead Data Scientist

الوصف الوظيفي

Tech – Data Engineering · Amman
Lead 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.
Responsibilities:
· Define, build, and lead a team of Data Scientists.
· Design, develop and deploy Data Science projects that are production-ready, robust and optimized.
· Implement data flow solutions that process data real time on message streams from source systems.
· Evaluate and enhance deployed Machine Learning models.
· Discover areas of the company’s processes that can be leverage machine learning
· Demonstrate thorough technical knowledge of Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
· Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
· Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
· Work with business owners to develop and define key business questions and to build data sets that answer those questions.
Requirements:
· 5+ year hands-on experience with Data Science project and implementing Machine learning Models.
· 2+ years of experience managing Data Science teams and DS projects
· An MS or PhD degree in Computer Science, Mathematics, Statistics, Machine Learning or related technical field
· Experience in Machine learning algorithms (decision trees, multivariate and logistic regression, kNN, kMeans, etc.)
· Experience in projects involving cross-functional teams
· Knowledge of various machine learning techniques and key parameters that affect their performance
· Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills
· Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
· Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
· Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Tech – Data Engineering · Amman
Lead 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