Position: Middle/Senior Data Scientist
Company: Grid Dynamics
Category: Data Science
Experience required: 5y
English level: upper
Published: 2022-07-01T00:00:00+03:00

**Details on the tech stack:**
• Semantic Search
• Neural Network
• Deep Learning/ML
• Computer Vision for Image Segmentation
• AR/VR (Augment and Virtual Reality
• Full-Stack Engineer for Knowledge Graphs
• Graph Neural networks
• E-commerce and Retail Search background
• Elastic Search

**What tasks you will work with?**
1. Mines and extracts data and applies statistics and algorithms necessary to derive insights.
2. Supports the generation of an automated insights generation framework for the Client's business partners to effectively interpret data.
3. Provides actionable insights through data science on Personalization, Search and Navigation, SEO and Promotions, Supply Chain, Services, other company priorities, etc.
4. Tracks success of the Client through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics.
5. Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage to the Client.
6. Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members.
7. Responsible for influencing, leading the thought process, and defining the appropriate methodology for team members.
8. Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager.
9. Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly.
`10. Leverages a deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope.
11. Prepares final recommendations, ensuring solutions are best-in-class, implementable, and scalable in the business
12. Executes plan for measuring impact based on discussions with stakeholders, partners, and senior team members.