Data Scientist

Garmin Cluj

. Collaborate with engineering, product management, and business stakeholders to define project requirements and deliver data-driven solutions .

Posted 10/9/2026full-timeCluj-Napoca • RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing scalable data pipelines, machine learning models, and advanced data analysis techniques. Proficient in communicating complex analytical concepts to diverse stakeholders and ensuring the performance and robustness of deployed models.

Highest-signal resume keywords

Python ProgrammingMachine Learning System DesignData Analysis MethodsSQL Database InterrogationData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAdvanced StatisticsData AnalysisData Pipeline DevelopmentExploratory Data AnalysisAI TechniquesTime Series AnalysisNatural Language ProcessingDeep LearningReinforcement Learning

Soft Skills

Effective CommunicationTeam-OrientedProblem SolvingPositive AttitudeDocumentation and Organization

Tools & Technologies

AWSAzureGCPMatplotlibSeabornTableauKafkaMLOps PracticesCI/CDExperiment Tracking

Industry Keywords

Data Science LifecycleModel Performance EvaluationCausal InferenceUnstructured DataReal-Time Data Processing

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaKafkaPythonSQLTableau

About the role

Key responsibilities & impact

Collaborate with engineering, product management, and business stakeholders to define project requirements and deliver data-driven solutions
Conduct advanced exploratory data analysis to uncover insights, trends, and patterns in large and complex datasets
Experiment with machine learning and AI techniques and assess their applicability to real-world product problems
Develop and implement scalable data pipelines and workflows supporting the end-to-end data science lifecycle
Define evaluation methodologies and metrics to measure model and product performance
Communicate complex analytical concepts and results to non-technical stakeholders through data visualizations and presentations
Ensure robustness, scalability, and performance of deployed models; monitor impact and iterate as necessary
Lead development of custom machine learning models and algorithms tailored to business needs

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math or Physics or a technical relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience
Strong programming skills in Python and/or Java
Experience with interrogating database systems (e.g., SQL)
Strong expertise in designing machine learning systems and working with modern AI techniques (e.g., LLM, RAG, MCP)
Demonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to large, imperfect data sets and real-world problems
Demonstrated expert knowledge in data analysis methods and tools
Demonstrated strong and effective verbal, written, and interpersonal communication skills
Must be team-oriented, possess a positive attitude, and work well with others
Driven problem solver with proven success in solving difficult problems
Consistently demonstrates quality and effectiveness in work documentation and organization
Preferred: expertise in time series analysis, NLP, deep learning, or reinforcement learning
Preferred: familiarity with MLOps practices including experiment tracking, model deployment, and CI/CD for data science workflows
Preferred: advanced understanding of A/B testing and causal inference
Preferred: experience working with unstructured data such as text, images, or audio
Preferred: advanced experience with data visualization tools such as Matplotlib, Seaborn, or Tableau
Preferred: experience working with cloud platforms such as AWS, Azure, or GCP for data science workflows
Preferred: experience with real-time data processing technologies such as Kafka

Benefits

Comp & perks

24 days off each year plus extra vacation days based on years at Garmin and compensation for legal holidays
Health package subscription and yearly budget for glasses
Monthly budget for sports and wellbeing activities
Local and global career development programs (training, mentorship, technical and leadership development, and more)
Access to e-learning platforms and support for technical conferences attendance
Loyalty bonus within the company, plus other special bonuses (for holidays and personal life events)
Meal tickets
Significant discount for Garmin products
Employee stock purchase plan
Contribution to the retirement plan (Pillar 3)
Garmin products available for testing and borrowing
Event series championing wellbeing, sports, and community, including sports events, classes, hackathons, and parties
Other benefits available through the recruitment process