Data Science Consultant for Customer Success

5 days ago


Warszawa, Mazovia, Czech Republic dotData Full time

Company Overview:

dotData is a leader in automating data science, and we're seeking a skilled Data Scientist to join our team.

Salary:

  • Competitive Salary

Job Description:

We're looking for a customer-facing Data Scientist who can work directly with clients to solve complex problems using our products. The ideal candidate will have strong communication skills, be able to architect and develop solutions centered around dotData products, and provide consultations on best practices in data science and related technology fields.

Key Responsibilities:

  • Work directly with customers to define business problems and translate them into well-defined data science use cases with quantifiable success criteria
  • Architect and develop solutions centered around dotData products
  • Provide consultations on best practices in data science and related technology fields
  • Advise customers on new use case discovery and the expansion of dotData footprint in their analytics landscape
  • Collect customer feedback and work with product/engineering teams to incorporate it into the product development process
  • Conduct benchmarking analysis using open source datasets and explore new techniques for product improvement

Requirements:

  • Strong knowledge of data analytics and machine learning
  • Familiarity with common data science use cases across different industries
  • Strong hands-on coding skills (preferably in Python) and familiarity with SQL
  • Strong communication and presentation skills
  • BS/BA Degree in Math, Engineering, CS or another Quantitative field
  • Experience working in a customer-facing role
  • Familiarity with Hadoop, Spark, AWS, and related Big Data Technologies

Benefits:

  • Hybrid / Fully Remote Work Flexibility
  • B2B Contract
  • Paid Vacation
  • Personal Development Budget

Others:

  • Work closely with the sales team on enhancing dotData visibility within customer organizations
  • Enable potential cross-sale/up-sale opportunities


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