Senior Data Scientist

This is a fully remote position, open to applicants in Serbia, +2 more countries.

📋 Description

• Transform business challenges into analytical solutions and pinpoint opportunities for predictive modeling, optimization, and data-informed decision-making.

• Create, develop, and implement machine learning models utilizing classification, regression, clustering, and forecasting techniques.

• Construct prompts for securely hosted AI models and harness the analytical capabilities of LLM.

• Utilize statistical methods and experimental techniques, such as hypothesis testing and A/B testing.

• Perform exploratory data analysis on extensive datasets to uncover patterns, trends, and key factors.

• Engineer features and prepare datasets to enhance model performance and reliability.

• Assess and optimize models using metrics, cross-validation, and tuning strategies.

• Ensure model explainability and interpretability, effectively communicating results to both technical and non-technical audiences.

• Design and implement MLOps practices, including model versioning, monitoring, and retraining.

• Collaborate with data engineers to access, prepare, and scale datasets from cloud platforms.

• Present insights and recommendations through data visualization and business intelligence.

• Contribute to the design of analytics and AI solutions with a focus on delivering business value.

• Engage with stakeholders and clients throughout the discovery, experimentation, and solution design phases.

⛳️ Requirements

• 5 years of experience as a senior data scientist or engineer delivering data science, machine learning, or advanced analytics solutions.

• 2 years of experience working with GCP data technologies.

• Practical experience with machine learning techniques, including regression, classification, clustering, and time series analysis.

• Proficient in statistical analysis and modeling with production deployments.

• Comprehensive understanding of the end-to-end machine learning lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.

• Expertise in model performance tuning and validation techniques.

• Strong SQL skills and experience handling large datasets.

• Proven ability to elicit, analyze, and document requirements and processes effectively.

• Demonstrated proficiency in applied data techniques, including identification, pipelining/ETL, curation, chunking, modeling, data quality, cataloging, lineage, and package deployment.

• Hands-on experience with Agile methodologies and active participation in Agile ceremonies.

• Ability to work independently and take ownership of tasks within a multidisciplinary team.

• Excellent problem-solving skills and a keen eye for detail.

• Capability to convey complex analytical concepts clearly to business stakeholders.

• Comfortable operating in a fast-paced, dynamic environment.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.

🏝️ Benefits

• Commitment to learning and fostering long-term career growth.