Data Science

Requirements:

• Knowledge and adherence to coding and exploratory tasks
• Ability to conduct statistical reasoning (populations comparison for mean/std/frequency)
• Ability to solve problems individually
• Readiness to propose solutions for averagely complicated tasks
• Advanced knowledge of at least one language (Python, R)
• Knowledge of algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest) and ability to choose proper one for specific problems
• Understanding of data architecture and its implications
• Knowledge of data science packages (i.e Pandas)

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Nice-to-have:

• Experience with one of data cloud solution
• Ability do deploy models in docker
• Certificates such as AWS Certified Machine Learning - Specialty, Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102)

Requirements:

• Expert knowledge in at least one field: NLP, image processing, deep learning, reinforcement learning, SparkML
• Readiness to take responsibility for bigger chunks of large-scale projects or full responsibility over small projects
• Willingness to help less experienced colleagues
• Maturity and openness to different perspectives
• Ability to verify candidates in the hiring process
• Gather requirements from stakeholders, what is the problem, and why is data science a possible solution?
• Work with product managers, other stakeholders, and develop your own tasks, roadmap, and process
• Obtain data from APIs/SQL, preprocess data, feature engineer, model comparison, deploy model

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Nice-to-have:

• Experience with cloud solutions
• Experience in MLOps
• Certificates such as AWS Certified Machine Learning - Specialty, Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102)

Requirements:

• Experience defining and executing rules governing the project
• Readiness to take full technical responsibility for the project
• Ability to coach and mentor people
• Ability to represent ITMAGINATION in discussions with client representatives
• Structuring the technology recruitment verification process
• Understanding of at least one extra technical competence
• Ability to compare different data tools available on the market for dedicated solution (performance, cost etc.)

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Nice-to-have:

• Pre-sales and Team-Lead experience
• Experience with cloud solutions for Big Data and Data Science
• Certificates such as AWS Certified Machine Learning - Specialty, Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102)