Data Scientist – Cloud Data Technologies

Requirements

• 5+ years of relevant experience with a master’s degree or Ph.D. in Computer Science or another quantitative field.
• Experience building statistical or machine learning models and evaluating model performance.
• Proficiency in Python or R and relevant machine learning libraries, such as scikit-learn or GBM.
• Advanced SQL skills, including experience optimizing queries for large-scale data.
• Experience working with Hadoop and Spark in cloud environments.
• Strong problem-solving skills and experience deploying machine learning models in production environments.
• Clear communication skills, with the ability to explain complex findings to non-technical audiences.

What you'll be doing

• Contribute to complex data science projects, from analysis through model development and performance evaluation.
• Develop and implement advanced statistical models and machine learning algorithms to address business and data challenges.
• Support experimentation and causal inference initiatives, including A/B and multivariate testing and improvements to testing methodologies.
• Use advanced SQL to work with large-scale datasets and optimize big data queries.
• Collaborate with multi-functional teams to define requirements and develop data solutions that support effective decision-making.
• Contribute to machine learning use cases such as bot traffic detection and customer profile development.
• Evaluate relevant developments in data science and identify new technologies or methodologies that could improve existing approaches.

Nice to haves

• No specific nice-to-have requirements listed.

Perks and Benefits

• No specific perks and benefits listed.