Data Science Engineer Offline

We are seeking a highly skilled and motivated Data Science Engineer to join our team. The ideal candidate will be proficient in both data engineering and data science, capable of designing and maintaining robust data pipelines while also developing and deploying machine learning models. This role requires a blend of software engineering skills and advanced analytical abilities.

Key Responsibilities:

• Data Engineering:
  • Design, implement, and manage scalable data pipelines using tools such as Apache Spark, Kafka, Flink, and Airflow
  • Develop ETL processes to ingest and transform data from various sources into clean, usable formats
  • Ensure data quality, consistency, and reliability through monitoring and automated testing.
  • Optimize database performance and storage solutions for large datasets
• Data Science:
  • Apply statistical analysis and machine learning techniques to build predictive models and derive insights from data
  • Experiment with and evaluate different algorithms and techniques to improve model performance.
  • Communicate findings through data visualizations and reports to stakeholders
  • Deploy machine learning models into production and monitor their performance
• Collaboration and Communication:
  • Work closely with cross-functional teams, including software engineers, data analysts, and business stakeholders, to understand project requirements and deliver data-driven solutions
  • Collaborate on the design and implementation of data-driven applications and services
• Tooling and Automation:
  • Develop and maintain scripts and tools for data processing and analysis using languages such as Python, SQL, and R
  • Implement CI/CD pipelines for automated testing and deployment of data science models
• Research and Innovation:
  • Stay current with advancements in data engineering and data science technologies and methodologies
  • Continuously improve processes and methodologies to enhance data infrastructure and analytics capabilities

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field
• Proven experience in both data engineering and data science roles
• Proficiency in programming languages such as Python, SQL, and R
• Experience with the AWS cloud platform
• Experience with data processing frameworks (e.g., Apache Spark, Kafka) and ETL tools
• Strong understanding of machine learning algorithms and statistical techniques
• Experience with data visualization tools (e.g., Superset, Tableau, Power BI)
• Proficiency with the ELK stack
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills

Preferred Qualifications:

• Experience with all cloud platforms (e.g., AWS, GCP, Azure)
• Knowledge of big data technologies (e.g., Hadoop, HDFS)
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Advanced degree (Master’s or Ph.D.) in a relevant field.
  
  We offer:
   
• Office/hybrid work in Lviv or opportunity for remote work in Ukraine
• Individual development plan and technical/soft training, certificates.
• 25 days off
• Free LinkedIn Learning
• Medical Insurance
• Online English classes