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)
- Technical Interview with VP Customer Data (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
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