AI / ML Data Scientist I

Responsibilities

• 0-3 years work experience
• Proficiency in Python, Spark, SQL, Artificial intelligence and Machine learning
• Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
• Strength in code documentation
• Proficiency in Git and code versioning tools (Gitlab)
• Proficiency in Atlassian Suite such as JIRA and Confluence.
• Familiarity with cloud computing (AWS, Goolge Cloud preferred)
• Knowledge of statistics and machine learning
• Ability to manipulate, analyze, and interpret large datasets
• Knowledge of dashboarding and visualization tools like Spotfire/Tableau.
• Business Skills:
• Excellent oral and written communication
• Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
• Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.

Benefits

Additional Information

What will I do? Build measurement and planning solutions for publishers, advertisers, and agencies. Identified the AI opportunities in existing and new projects and implemented them. Support reproducible data science projects end-to-end Deploy and maintain data pipelines and models in a production environment Work with cross-functional teams to productionize, validate, and optimize methodologies Communicate methodology and research findings to varying audiences Support research on methodology changes to cross-platform audience measurement. The primary research areas include trend analyses, imputing missing data, representation/ sampling, bias reduction, indirect estimation, data integration, and automation. Continuous support and development of new projects by exploring the data - Variable Identification, cleaning the data , applying dimension reduction techniques, calculating distances and integrating the surveys. And also using output evaluation techniques in order to make sure of the accuracy. Address quality escapes and fix issues in production code. Document new methodologies and code.

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Company Intel

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