Cnexia
1001 - 5000 employees
Founded 2021
🤝 B2B
🤖 Artificial Intelligence
🔒 Cybersecurity
B2B • Artificial Intelligence • Cybersecurity
Cnexia is a Canada-based services company combining large-scale customer service operations with in-house information technology and support functions. The firm operates contact-center-style customer support, loyalty and sales programs and also houses technology teams focused on cybersecurity, network and systems engineering, web and mobile application development, data science and artificial intelligence. Cnexia employs thousands of staff across customer service, tech and support roles and positions itself as a partner helping organizations improve how they communicate and deliver services.
Data Scientist
🕒 May 6
🗣️🇫🇷 French Required
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Cnexia
1001 - 5000 employees
Founded 2021
🤝 B2B
🤖 Artificial Intelligence
🔒 Cybersecurity
B2B • Artificial Intelligence • Cybersecurity
Cnexia is a Canada-based services company combining large-scale customer service operations with in-house information technology and support functions. The firm operates contact-center-style customer support, loyalty and sales programs and also houses technology teams focused on cybersecurity, network and systems engineering, web and mobile application development, data science and artificial intelligence. Cnexia employs thousands of staff across customer service, tech and support roles and positions itself as a partner helping organizations improve how they communicate and deliver services.
📋 Description
• Data mining and extracting usable information from valuable data sources • Using machine learning tools to select features, create, and optimize classifiers • Processing, cleansing, and validating the integrity of data for analysis • Analyzing large volumes of information to identify patterns and solutions • Developing time series forecasting models using machine learning algorithms • Developing prediction systems and machine learning algorithms • Building strong partnerships with sponsors, clients, and vendors to validate business processes • Informing product owners of delivery status; identifying delivery risks and dependencies and detailing and quantifying impacts • Investigating anomalies in business flows • Acting as a key interface with the IT team to communicate data patterns and findings • Preparing presentations that clearly explain both the data science process and results to technical and non-technical audiences, including project managers, clients, sponsors, and vendors • Communicating and documenting findings in a structured manner
🎯 Requirements
• Master’s degree in Software or Computer Engineering (Bac+5) or equivalent experience (asset) • Bilingualism (English/French) is an asset • 1–2 years of work experience in data science (analysis, data mining, time series analysis, machine learning, projections and estimates, business intelligence) • Advanced skills in Microsoft Excel, including designing spreadsheet models, implementing macros, and connecting to external data sources • Proficiency in SQL for database querying • Experience with SAS Enterprise Guide is a plus • Experience in solution development using at least one of the following: SAS and/or Python • Knowledge of leading machine learning libraries such as PyTorch and TensorFlow, or the ability to build machine learning models, is a plus • Knowledge of pandas, SciPy, and NumPy for data analysis, model building, and forecasting in Python • Ability to work effectively within a development team in an Agile organization • Ability to work efficiently in virtual teams during standard EST business hours using conference calls and online conferencing tools (e.g., WebEx, BETC)
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