Data Scientist

We are looking for a Data Scientist to work on customer-facing projects, combining advanced data science techniques with machine learning and big data technologies to design and implement solutions that meet specific customer needs and business objectives. 

Requirements:

• 2+ years data science experience
• BSc or equivalent in Mathematics, Statistics, Computer Science, Economics, or related field 
• Proficient in Apache Spark, Python/PySpark, and SQL
• Experience with Hadoop ecosystem (Hive, Impala, HDFS, Sqoop) and pipeline optimization
• Hands-on experience with AI agents and LLMs
• Strong ML feature engineering and financial analytics skills
• Experience with workflow tools (Airflow, MLflow, n8n) and Git
• Customer-facing and team training abilities

• Fluent English

   

Responsibilities:

• Deploy solutions and manage pilots
• Design customer-specific technical solutions across project lifecycle
• Lead data science teams and technical partnerships
• Engineer features from diverse data sources
• Extract insights and investigate anomalies in big data
• Build technical relationships with customers and partners
• Provide product requirements to management
• Train customers on system usage and monitoring. 

Recruitment process:

• Screening call  (20 min)
• Technical Interview with Team Lead (60 min)
• Technical Test (2 hours take-home assignment)
• Interview with Global Head of Data(30 min)
• Interview with VP of R&D Manager (30 min)
• HR Interview (30 min)

• Reference Checks

   

Timeline: Complete process typically takes 2-3 weeks from application to offer.

We offer:

• Competitive compensation based on your skills and experience
• 24 days of annual paid vacation and 5 sick leaves
• Exciting projects involving the newest technologies
• Accounting as a service
• Flexible working hours
• Long-term employment