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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPandasPythonSQL
About the role
Key responsibilities & impact- Drive execution and build a culture of innovation
- Manage and inspire a multi-functional team
- Collaborate with cross-functional stakeholders to understand business needs
- Formulate and complete end-to-end analysis including data gathering, analysis, and recommendations
- Contribute to a wide variety of research projects using statistical analysis and modeling
- Develop and implement unsupervised machine learning and deep learning algorithms for predicting asset failure
- Develop computer vision models for defect detection and classification
- Build generative AI solutions for improving operational productivity and accelerating engineering feature releases
- Design and evaluate experiments for customer retention based on statistical analysis
Requirements
What you’ll need- Master’s degree in Data Science, Computer Science, Information Theory, Language Technologies or related field
- 4 years of experience as a Data Scientist or related occupation
- Experience in applying data science techniques to real-world business problems such as reduction of churn or increase in bookings growth
- Proficiency in programming languages such as Python, R, or SQL, and data manipulation and visualization libraries: pandas and matplotlib
- Knowledge of machine learning algorithms, deep learning techniques, and statistical modeling
- Familiarity with big data technologies and cloud computing services: AWS, Azure, and GCP
- Present technical concepts to Presidents and their direct reports
- Stakeholder management, project coordination, and communication within a data science or related technical environment
Benefits
Comp & perks- Development and automation of reports
- Continuous improvement experimentation
- Tools for internal Data Science toolbox
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisstatistical analysismachine learningdeep learningcomputer visiongenerative AIdata manipulationdata visualizationprogramming in Pythonprogramming in R
Soft Skills
team managementinspirationcollaborationstakeholder managementproject coordinationcommunicationinnovation culture
Certifications
Master’s degree in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in Information TheoryMaster’s degree in Language Technologies
