Job Description

Ready to become a key thought leader and success driver in the development of a cutting-edge SaaS Analytics and Data Science platform? Are you passionate about exciting new applications of Machine Learning and AI?

  • Become an industry expert and be passionate about innovating AI/ML applications within it
  • Work with technical and non-technical stakeholders to understand, plan, and develop B2B AI/ML products
  • Analyze challenges and obstacles, and collaborate with diversely skilled team members to find and implement solutions
  • Identify areas for improvement with projects and operating procedures

Qualifications

  • 2+ years’ professional or academic experience in predictive and statistical modeling and machine learning using Python or R
  • Strong capabilities in all phases of the modeling pipeline
  • Strong data management and coding skills, with the ability to write production-level quality code in Python or R, including a deep understanding of common Data Science libraries
  • Outstanding analytical, quantitative, problem-solving, and critical thinking skills
  • Deep theoretical and applied understanding of statistics, data mining, and/or machine learning techniques
  • Ability to create/implement monitoring systems to detect data drift, track model versions, report on production model performance
  • Proficient in SQL ETL skills, including cleaning, mapping, and transforming data for statistical modeling
  • 2+ years of data visualization experience in Tableau or similar dashboarding tools, including creating calculations and telling data stories
  • Understanding of best practices in Data Science, Data Visualization, and Software Engineering
  • Experience using source control tools, such as GitHub
  • Strong written and verbal communication skills, including the ability to present detailed analyses to a broad audience range
  • Ability to thrive in a rapidly evolving environment, both independently and within small cross-functional teams
  • Self-starter, attention to detail, and results-orientated, able to work under minimal guidance
  • Cloud platforms, such as AWS or Azure (Major Plus)
  • CI/CD and DevOps pipelines for automated deployment, including using Docker, Kubernetes, Airflow, Jenkins, or similar tools (Major Plus)
  • Linux, Bash, and other command line languages (Major Plus)
  • SQL Server, Postgres, and MongoDB (Major Plus)
  • Logging and error handling libraries for Python or R and building alerts for models (Major Plus)
  • Agile and Scrum methodologies (Major Plus)

Benefits

  • Salary: Competitive and negotiable
  • Flat organization and open communication
  • Comfortable working conditions and flexible working time
  • Good career growth opportunities with interesting and challenging projects
  • Full Social Insurance, Health Insurance, Unemployment Insurance
  • Agile English-speaking training and on-the-job training
  • Outdoor activities: sports, company trips, team building, etc
  • Light beverages and food are available all the time in the office

Job Application For Data Scientist

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