Data Scientist - Rabat
IT / Electronics - Secteur IT (Information Technology)
- Senior (5 to 10 years)
- 1 job(s) in Rabat and region - Morocco
- Master or PhD Minimum
Need for autonomy Need for reflection Ambition Involvement at work Search for new things / novelty
- Permanent contract
- Teleworking : Yes 100%
Company :
Joining Cnexia is choosing to be part of an ambitious project that values Innovation, promotes Continuous Learning and enables all tech champions to fulfill their creative dreams. At Cnexia, we do more than support the clients of our world-class network and services. We develop innovative solutions and create original multiplatform media content. In fact, we're revolutionizing how Canadians communicate on the web, interact with Mobile Apps or benefit from an AI-enhanced experience. Proud of our status as a fully owned Moroccan subsidiary of the largest Canadian Telecom company, we have been ceaselessly growing our team since 2021. With over 1100 employees, mainly based in Fez, we have expanded in the northern region of the kingdom with our Brand-new state of the art site in Technopolis Rabat. If you are ready for this challenge, we invite you to join a community that values bold ideas and professional growth all in an engaging multi cultural world-class environment.Company culture :
Job :
Looking for a Data Scientist to analyze large datasets, build machine learning models (including time series forecasting), and generate actionable insights while ensuring data quality and integrity. The role requires 1-2 years of experience, strong skills in Python (pandas, numpy), SQL, and machine learning, with the ability to communicate findings clearly and collaborate in an Agile environment.Required profile :
Requirements/Accountabilities:
- Data mining or extracting usable data from valuable data sources.
- Using machine learning tools to select features, create and optimize classifiers.
- Processing, cleansing, and validating the integrity of data to be used for analysis.
- Analyzing large amounts of information to find patterns and solutions.
- Develop timeseries forecasting models using machine learning algorithm.
- Developing prediction systems and machine learning algorithms.
- Building a strong partnerships with sponsors, clients and vendors to validate business flows.
- Apprising the product owners on delivery status, identify associated delivery risks, dependencies along with detailing and quantifying impacts.
- Doing investigations related to business flow anomalies.
- Providing a key interface to the IT team to communicate data patterns possessing.
- Develop presentations that clearly explain both the data science process and the results to technical and non-technical audiences of project managers, clients, sponsors and vendors.
- Ability to communicate and document findings in a structured manner
Competency Requirements :
- Masters degree in software / computer engineering (Bac+5) or Equivalent experience (asset)
- Bilingualism is an asset (English / French).
- 1-2 years work experience in data science (analysis, data mining, time series analysis, machine learning, projections and estimates, business intelligence).
- Advanced skills in Microsoft excels include designing spread sheet models, implementing macros and connecting with external data sources.
- Database query using SQL, Experience in SAS Enterprise Guide is a plus.
- Experience in solution development using at least one of the following programming languages: SAS and / OR Python.
- Knowledge of leading Machine Learning libraries such as PyTorch and TensorFlow (or ability to build Machine Learning models) is a plus.
- Knowledge of pandas, scipy, numpy for data analysis, model building and forecasting in python.
- Ability to work efficiently within a development team in an Agile organization.
- Ability to efficiently work in virtual teams during conventional (EST) business hours using conference calls and online conferencing utilities (e.g. WebEx, BETC).
Head office address :
Technopolis, Bâtiment B 11 Sala-Al-Jadida
Desired personality traits :
Need for autonomy Need for reflection Ambition Involvement at work Search for new things / novelty
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