Data Scientist- Romania

We are looking for an experienced Data Scientist to join our data and analytics team. The role involves transforming complex datasets into actionable insights, developing machine learning models, and supporting data-driven decision-making across the organization.
The ideal candidate combines strong analytical and programming skills with hands-on experience in machine learning, statistics, and data analysis.
Responsibilities
Analyze large and complex datasets to identify patterns, trends, and business opportunities.
Develop, train, validate, and optimize machine learning models.
Apply statistical methods and machine learning techniques to solve business problems.
Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).
Build predictive and classification models using appropriate algorithms.
Evaluate model performance using relevant metrics and validation techniques.
Collaborate with Data Engineers to ensure the availability and quality of data required for analytical and ML workloads.
Work closely with business stakeholders to understand requirements and translate them into data-driven solutions.
Communicate findings, insights, and model results to both technical and non-technical audiences.
Develop dashboards, visualizations, and reports to present analytical results where required.
Deploy and monitor machine learning models in production environments.
Continuously improve existing models and analytical solutions based on new data and business requirements.
Document methodologies, models, experiments, and results.
Stay up to date with developments in AI, machine learning, and data science.
Requirements
3+ years of professional experience as a Data Scientist or in a similar role.
Strong programming skills in Python.
Solid knowledge of statistics, probability, and machine learning.
Hands-on experience with machine learning libraries such as scikit-learn, Pandas, NumPy, and similar tools.
Experience with supervised and unsupervised learning techniques.
Strong knowledge of SQL and experience working with relational databases.
Experience with data visualization tools such as Matplotlib, Seaborn, Plotly, or similar.
Experience with feature engineering, model validation, and hyperparameter optimization.
Good understanding of the end-to-end machine learning lifecycle.
Experience working with large datasets and cloud-based data environments.
Strong analytical and problem-solving skills.
Ability to communicate complex technical concepts clearly.
Experience working in an Agile and collaborative environment.
Nice to Have
Experience with Deep Learning frameworks such as TensorFlow or PyTorch.
Knowledge of NLP, Computer Vision, or Generative AI/LLMs.
Experience with MLOps and ML model deployment.
Knowledge of Docker and Kubernetes.
Experience with cloud platforms such as Azure, AWS, or GCP.
Experience with Databricks, Snowflake, BigQuery, or similar data platforms.
Knowledge of MLflow or other experiment/model management platforms.
Experience with real-time data processing or streaming technologies.
Familiarity with CI/CD and software engineering best practices.
Key Skills
Python | SQL | Machine Learning | Statistics | Pandas | NumPy | Scikit-learn | Data Analysis | Data Visualization | Feature Engineering | Predictive Modeling | Deep Learning | MLOps | Cloud | AI/LLMs

Work arrangement
Yes