• Analytical thinking and exploratory state of mind
• Solid experience with high-loaded systems like Spark/Hadoop/Hive
• A business-oriented mindset
• Willingness to work with interesting, challenging and non-trivial tasks
• Deep knowledge in Probability Theory, Mathematical Statistics and Linear Algebra
• Ability to work and create algorithms and data structures
• Great experience in Python and SQL
• Ability to process and analyze huge data volumes and ability to create and check hypothesis including data visualization
• Spark/Spark ML, Tensorflow, Keras, XGBoost
• Real production experience in Deep Learning
Fascinating projects
• Work with Machine Learning and Neural Networks
• No boring legacy systems
• Opportunity to influence the product’s quality
Productive work environment
• Convenient office location
• Fast-paced startup atmosphere
• International team of experienced professionals
• Flat corporate hierarchy
Work terms
• Long-term employment
• 20 work days of paid time off
• Flexible work hours
• Manage a team of data scientists, machine learning engineers and big data specialists
• Ensure data quality and integrity
• Evangelize new technologies and embody a data-driven culture
• Design and implement ETL pipelines to support and scale models and analyses
• Conceive, plan and prioritize data projects
• Align data projects with organizational goals
• Build analytics systems and predictive models
• Perform hypothesis testing through different machine learning algorithms
• Create tasks for product developers
We are looking for a Lead Data Scientist to lead a technical data science team and help us bind together ML stack with production workflows.
Lead Data Scientist responsibilities include managing and supervising the data science team, planning projects, and building analytical models. You should have a strong problem-solving skills and a knack for statistical analysis. If you’re also capable of aligning our data products with our business goals, we’d like to meet you.