Data Scientist at Xeneta

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Solutions, Machine Learning, Applied Statistics, Python, SQL, Data Visualization, AWS, Docker, Git, Terraform, Predictive Modeling, Project Management, Communication Skills, Analytical Skills, Problem-Solving, Team Collaboration

Industry

technology;Information and Internet

Description

Data Scientist Application Deadline: 5 January 2026 Department: Data Science Employment Type: Permanent - Full Time Location: Bucharest Description Location: Bucharest, Romania Please note: We’re collecting applications throughout December. Because of the holiday season, our team will begin reviewing candidates from 5 January 2026. Thanks for your patience, and happy holidays! As part of the Data Science team at Xeneta, you will build high-impact data solutions and algorithms that deepen our understanding of global freight markets. Your work will enhance data quality, improve data ingestion pipelines, and answer questions we did not know even existed. You will help us deliver meaningful analytics that empower our customers throughout the entire value chain. What you will be doing You will develop and deploy data solutions to solve business problems. You will interpret and communicate complex findings to non-technical and technical audiences. You will mentor data scientists and promote best practices. You will develop predictive models impacting strategic objectives. You will work with product managers, data analysts, software engineers, business representatives, and other stakeholders to understand their problems and design solutions. You will contribute to our data-driven culture and community by sharing your knowledge and expertise with the team and with the company. Your profile and experience We’re looking for a Mid-level or Senior-level candidate to join our team. The professional skills and competencies we are looking for in a mid-level candidate: 2+ years of experience in a Data Scientist role, with a proven track record of delivering analytical and/or ML solutions. Strong fundamentals in applied statistics, time-series analysis, and ML/AI algorithms. Good proficiency in manipulating data using Python. Good proficiency using SQL. Experience with dbt and Snowflake. Strong proficiency with visualisation libraries (matplotlib, seaborn, ggplot). Working knowledge of AWS services (SageMaker, S3, Glue, Athena, QuickSight). Basics of Docker, Git, Terraform. The professional skills and competencies we are looking for in a senior-level candidate: 4+ years of experience in a Data Scientist role, with a proven ability to lead complex data science or ML projects from conception to deployment. Knowing when (not) to use ML or AI. Deep expertise in applied statistics, time-series analysis, and ML/AI algorithms. Demonstrated experience developing predictive models. Excellent proficiency in Python or R. Strong proficiency in using SQL and NoSQL. Solid experience with dbt, Snowflake, BigQuery, Streamlit, and Athena. Expertise in data visualisation tools and libraries (matplotlib, seaborn, ggplot). Excellent knowledge of AWS services (SageMaker, S3, Glue, Athena, QuickSight). Proficiency with DevOps and infrastructure tools (Docker, Git, Terraform, Jenkins, Step Functions). Nice to have: Advanced certifications across Snowflake, dbt, or AWS (e.g., ML Specialty, Data Analytics Specialty). Experience architecting or scaling production ML systems (e.g., feature stores, MLOps pipelines). Experience with Deep Learning frameworks. Experience with Spark, and Airflow. The personal qualities we are looking for: You are a team player, and you enjoy learning and improving the team around you and yourself. You have strong communication skills and being able to present complex topics clearly. You have strong project management and organizational skills. You have a strong analytical and problem-solving mindset, curiosity, and daring when venturing into unknown territory. Comfortable working with stakeholders, being able to challenge assumptions and saying no if needed, when backed by data. You have a keen eye for detail. You have a get-things-done attitude. Above all, you are curious. Not sure whether you're the perfect fit? Give it a try regardless - we love to hear from interesting people! Be sure to give us an idea of who you are as a person — Not just your professional experience. Xeneta is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. What we offer We will help you grow your career: We help you identify areas of growth for you, whether you want to grow as a specialist in your field or eventually want to go into a leadership/management role. We have a transparent and open work environment where everyone is empowered to make an impact and encouraged to voice their ideas. Keeping true to our value, “Xeneta is one”, we regularly bring colleagues together across locations. We organize an annual global company trip, and we aim to create opportunities for people to meet in person from time to time. You will receive an individual education budget and can educate yourself during work hours: you can spend several hours each month attending courses, reading books, or getting involved in communities. We value work-life balance and want to make sure you can spend quality time with your family or enjoy your hobbies when your workday is over. We have flexible working hours (core time with meetings is 10:00 to 15:00, the rest is up to you). Why you will love it here Our Impact: We’re category leaders digitalizing the way ocean and air freight is procured bringing on-demand actionable data to all industry stakeholders. We’re moving fast. Our Technology: Deep data analytics and integrations coupled with a scalable, sleek and beautiful user interface. Our Team: Shipping, consulting and tech all-stars on our roster. Our Values: Xeneta is One. Transparency builds trust. Ownership drives Impact. Modernization through data. Diversity is our Superpower.

Responsibilities

You will develop and deploy data solutions to solve business problems and interpret complex findings for various audiences. Additionally, you will mentor other data scientists and contribute to a data-driven culture within the company.