Data Scientist (Remote option)

Ключевые навыки

Customer Facing Data Scientists are critical to making our customers successful. An ideal candidate should have strong fundamentals of applied data science and statistics in a business setting, and should enjoy communicating and evangelizing data science solutions to customers.

Responsibilities

• Product
• Representing the Neuton product from a technical perspective to customers – including demonstrations, conducting proof-of-concept trials, helping clients evaluate success criteria, and training users
• Providing the customer’s point of view to Neuton’s Product team, informing the direction of future product feature development
• Data Science
• Enabling customers to solve complex data science problems using Neuton – including problem framing, data preparation, model building, model deployment, model management, and output consumption
• Providing data science knowledge and expertise as a trusted advisor to the client
• Project management
• Conducting and managing data science projects with customer’s vision of success in mind
• Collaborating with Sales, Product and the rest of the Neuton team to identify the best possible resources to move forward customer’s projects
• Leadership
• Understanding and empathizing with customers’ pain points of building AI solutions
• Qualifying opportunities where Neuton can be a good fit
• Presenting Neuton in industry conferences as well as creating technical content for marketing

On a day-to-day basis, a candidate works with the Sales, Account Management, Marketing and Product teams to help our customers achieve their goals. Internally, he or she acts as the voice of the customer.

Main Requirements

• 4-5+ years of real-world business experience in a data science role
• Fluent English
• Exceptional communication, writing and interpersonal skills
• Readiness to work overtime in the Russian and US time zone.
• Hands-on experience building and implementing predictive models using machine learning algorithms and tools solving regression and classification problems
• Strong customer interaction experience
• Strong project management skills
• Strong knowledge of Statistics
• Familiarity with a variety of technical tools for the manipulation of datasets
• Fluency with scripting (Python / R)
• Readiness to relocate to the US office