
Optimization Analyst
5 days ago
We are seeking a highly skilled Data Scientist to join our team. In this role, you will leverage data, analytics, and artificial intelligence technologies to extract insights, build predictive models, and develop AI-powered solutions.
Your primary responsibilities will include applying independent research, gathering information, and giving recommendations to solve problems of diverse scope. You will experience with business requirements gathering, transforming them into technical plans, data processing, feature engineering, hypothesis testing, and model deployment.
You will understand optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. A proactive approach to areas where improvement is needed, such as suggesting improvements to existing pipelines, is essential. Creation and following of standards to improve competency quality is also required.
Additionally, you will have experience working in cloud technologies (preferably MS Azure or GCP) and familiarity with theory behind various machine learning concepts. Experience in CRISP-DM projects delivery and Agile project management (such as Scrum or Kanban) is also necessary. Great communication skills are a must.
Requirements- 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, and ML libraries and basic working knowledge of SQL
- Experience working in cloud technologies (preferably MS Azure or GCP)
- Familiarity with theory behind various machine learning concepts
- Experience in CRISP-DM projects delivery and Agile project management (such as Scrum or Kanban)
- Experience with client-facing roles
- Great communication skills
- Stable employment with opportunities for internal promotions
- 100% remote work option
- Flexibility regarding working hours
- Full-time position
- Comprehensive online onboarding program
We offer a stable employment environment with opportunities for internal promotions. Our employees enjoy flexible working hours and a comprehensive online onboarding program. We value great communication skills and are committed to providing a supportive and collaborative work environment.
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