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, 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 ability to write production-level quality code in Python or R, including 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 tool, 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: sport, company trip, team building, etc
Light beverage and food available all the time in the office