Position: Senior/Lead Data Scientist
Company: Grid Dynamics
Experience required: 5y
English level: upper

We are building a Data Analytics and Management platform to provide NextGen level of business operations efficiency on the global market for top American multinational food, snack and beverage corporation with interests in the manufacturing, marketing, and distribution of grain-based snack foods, beverages, and other products.

Responsibilities:
- Lead the team and able to work with no clear requirements;
- Implement ML models;
- Communicate with business stakeholders to clarify their requirements and present the teamwork results.

Requirements:
- Data scientist with 5+ years of experience;
- Good knowledge of the probability theory and statistics;
- Understanding of Bayesian methods, time series analysis;
- Experience with Optimizations and Operations Research is a must;
- Experience with tools like Gurobi is a big plus;
- Hands-on experience with forecasting algorithms;
- Experience with clouds (Azure, AWS, GCP) is required; 
- Experience with PySpark is required;
- Hands-on experience with data preparation, cleansing, feature engineering, and visualization; 
- Strong working knowledge of SQL, HiveSQL preferred;
- Good communication skills and interpersonal skills;
- Experience in working across different global cultures a plus.

We offer:
- Opportunity to work on bleeding-edge projects;
- Work with a highly motivated and dedicated team;
- Flexible schedule;
- Medical insurance;
- Benefits program;
- Corporate social events;
- Professional development opportunities.

About us:
Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.