Develop and implement the company’s data science strategy
Identify opportunities to leverage data for business value
Take responsibility for the full technical stack for development and deployment
Design, build and maintain scalable machine learning models and efficient data pipelines
Collaborate with cross-functional teams to gather requirements

Requirements

Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, or equivalent knowledge and experience
Proven experience working on complex projects
Expertise in modern language models and machine learning frameworks
Experience with modern LLM-supporting frameworks and tools
Proficiency in programming languages such as Python, R, or another strongly typed programming language
Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningdata pipelinesprogramming languagesPythonRcloud platformsAWSGCPAzure

Soft Skills

collaborationcommunicationproblem-solvingresponsibilitycross-functional teamwork

Certifications

Master’s in Data SciencePh.D. in Data ScienceMaster’s in Computer SciencePh.D. in Computer ScienceMaster’s in StatisticsPh.D. in Statistics