TL;DR

Data Scientist (AI): Building and optimizing high-impact data solutions and algorithms for global freight markets with an accent on data quality, predictive modeling, and data ingestion pipelines. Focus on interpreting complex findings, mentoring team members, and designing solutions with cross-functional stakeholders.

Location: Hybrid in Bucharest, Romania

Company

Xeneta is a leading data platform providing intelligence and market analytics for the opaque ocean and air freight markets.

What you will do

  • Develop and deploy data solutions to solve business problems.
  • Interpret and communicate complex findings to diverse audiences.
  • Mentor data scientists and promote best practices.
  • Develop predictive models impacting strategic objectives.
  • Collaborate with product managers, data analysts, and software engineers to design solutions.
  • Contribute to a data-driven culture by sharing knowledge and expertise.

Requirements

  • Mid-level: 2+ years of experience delivering analytical and/or ML solutions.
  • Senior-level: 4+ years of experience leading complex data science or ML projects from conception to deployment.
  • Strong fundamentals in applied statistics, time-series analysis, and ML/AI algorithms.
  • Proficiency in Python and SQL (Senior: also NoSQL, R).
  • Experience with dbt, Snowflake (Senior: also BigQuery, Streamlit, Athena).
  • Working knowledge of AWS services (SageMaker, S3, Glue, Athena, QuickSight).
  • Basics of Docker, Git, Terraform (Senior: also Jenkins, Step Functions for DevOps).
  • English: B2+ working proficiency required.

Nice to have

  • Advanced certifications (Snowflake, dbt, AWS ML/Data Analytics Specialty).
  • Experience architecting or scaling production ML systems (feature stores, MLOps pipelines).
  • Experience with Deep Learning frameworks.
  • Experience with Spark and Airflow.

Culture & Benefits

  • Support for career growth as a specialist or in leadership.
  • Transparent and open work environment empowering impact.
  • Regular company-wide gatherings and annual global company trips.
  • Individual education budget and dedicated learning time during work hours.
  • Emphasis on work-life balance and flexible working hours (core time 10:00-15:00).
  • Diverse international team from over 60 countries.