Outlook Publishing

Data Scientist

Outlook Publishing

full-time

Posted on:

Location Type: Hybrid

Location: Bucharest • 🇷🇴 Romania

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Job Level

JuniorMid-Level

Tech Stack

AirflowAWSBigQueryDockerJenkinsNoSQLPythonSparkSQLTerraform

About the role

  • 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.

Requirements

  • 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.
  • 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.
  • 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.
Benefits
  • 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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data solutionspredictive modelsapplied statisticstime-series analysisML algorithmsPythonSQLdata visualizationNoSQLDeep Learning
Soft skills
communication skillsproject managementorganizational skillsanalytical mindsetproblem-solvingcuriosityteam playermentoringstakeholder engagementattention to detail
Certifications
ML SpecialtyData Analytics Specialty