Eureka Labs
Eureka Labs is an innovative company focused on developing cutting-edge solutions in technology and software. With a commitment to excellence, it aims to provide powerful tools and services that enhance user experiences across various sectors. Their expertise lies in creating applications that drive efficiency and productivity for businesses and consumers alike.
Managed Teams • Nearshore Software Development • digital transformation • digital acceleration • nearshore technology solutions
Data Scientist
Yesterday
Eureka Labs
Eureka Labs is an innovative company focused on developing cutting-edge solutions in technology and software. With a commitment to excellence, it aims to provide powerful tools and services that enhance user experiences across various sectors. Their expertise lies in creating applications that drive efficiency and productivity for businesses and consumers alike.
Managed Teams • Nearshore Software Development • digital transformation • digital acceleration • nearshore technology solutions
📋 Description
• We are seeking a Data Scientist to help build data-powered services that make our product partner smarter and more intuitive. • You will utilize advanced analytics techniques, statistical modeling, and machine learning to unlock insights from vast datasets, collaborating closely with cross-functional teams to design and deploy innovative solutions.
🎯 Requirements
• 3+ years of experience as a Data Scientist, working with large datasets in a production environment. • Strong foundation in applied statistical techniques for model building and hypothesis testing. • Mastery of data manipulation and ML frameworks with Python (pandas, NumPy, scikit-learn, etc.), plus familiarity with prototyping tools like Streamlit. • Hands-on experience designing, training, and deploying ML models at scale. • Advanced data extraction skills using SQL, Spark, and related technologies. • Familiarity with software development tools (Cloud infrastructure, Git, Docker, etc.) and best practices. • Proficient in building and optimizing large-scale data pipelines and ETL processes with Spark. • Familiarity with CI/CD for ML, experiment tracking, and model serving (e.g., MLflow, Kubeflow). • Git: Comfort with basic branching, merging, and pull request workflows. • Docker: Capable of containerizing ML solutions for development and deployment. • Able to lead projects from conception to production with minimal oversight. • Collaborative mindset to work effectively with product managers, engineers, and other stakeholders. • Advanced English Level. • Terraform: Basic exposure to Infrastructure as Code principles for automating resource provisioning. Nice to have.
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