Position: Senior Data Scientist (2350)
Company: Exadel
Experience required: 5y
English level: upper

**About Our Customer:**
The customer offers data, industry expertise, and prescriptive analytics to help their clients grow their businesses in a changing world. The world’s leading companies rely on the customer to help them measure, predict, and improve performance across all channels. Clients trust the customer’s company to benchmark performance, guide strategic decision-making, and improve pricing, product management, new product innovation, customer segmentation, assortment, and sales forecasts.

**About Our Project:**
The project is a SaaS reporting and analysis framework that supports market share operations, price analysis, and the execution of price strategy by delivering real-time price visibility into online sales channels. Clients can monitor the market, quickly identify opportunities, and make data-driven decisions that positively impact volume and proﬁt margins.

**Project Team:**
When you join our team, you'll be immersed in a culture where teammates always help each other achieve better results. We believe that together we are greater and that we can find brilliant solutions by sharing ideas. 

**Requirements:**
- 5+ years of experience in data science
- Experience with R&D of model strategies
- 4+ years of experience with R/Python
- Experience with sales data or inventory analysis 
- Experience with databases (MS SQL server)
- Deep knowledge of GLM/Regression, decision trees, time series, and PCA
- Experience in feature selection, transfer learning, classical machine learning, and AI techniques
- Master’s degree in computer science, statistics, applied math, or other related areas
- Ability to learn quickly, as well as be a team player, responsible, punctual, stress-resistant, and client-oriented

**Nice to have:**
- Experience with visualization tool to Build Dynamic Dashboards 
- Familiar with methods of Market Forecasting
 
**English level:**Upper-Intermediate +

**Responsibilities:**
- Designing, developing, training, and testing models and algorithms 
- Analyzing sales data and inventory 
- Preparing large datasets for analysis via SQL  
- Analyzing algorithm results and building statistic reports via visualization tools
- Communicating with clients/sales/support teams

**Company offers:**
- Vacation is 20 working days / till 20 working days per year for sick leaves
- Full payment of taxes
- English courses
- Flexible work schedule
- Friendly environment
- Medical insurance
- Sport compensations
- Opportunity for career growth