
Highly Skilled Data Professional Wanted
2 days ago
We are seeking an accomplished Data Analyst to leverage data, analytics, and artificial intelligence technologies to extract insights and develop AI powered solutions.
- Apply advanced statistical and mathematical techniques to analyze complex business problems and develop actionable recommendations.
- Design and implement machine learning algorithms and deploy them into production environments.
In addition to your technical skills, you will have excellent communication and interpersonal skills, allowing you to effectively communicate complex technical information to both technical and non-technical stakeholders.
Key Skills:- A minimum of 5+ years of relevant professional experience, including 2+ years of DS/Operations Research experience.
- Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.).
- Strong Python coding skills (including Object Oriented Programming concepts), including using ML libraries and basic working knowledge of SQL.
- Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have).
- Familiarity with theory behind various machine learning concepts.
- Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban).
- Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.
- Experience in working with client-facing role.
- Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.
- Other programming languages knowledge e.g., SQL, R.
- Experience working in Spark (PySpark).
- Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed.
- Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability).
- Strong statistical/mathematical background.
- Experience in working in matrix organization.
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