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Princeton, NJ, USA
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Required Qualifications:
• 5-10 years of professional experience in a data analytics or related role.
• Proficiency in Python, SQL, Unix Shell Scripting (Lunex Shell Scripting), Stored Procedures.
• Experience with one OR more machine learning frameworks and data analysis/visualization libraries in Python (e.g. Pandas, scikit-learn, PyTorch, Matplotlib, Plotly, etc.)
• ETL tool experience (Talend, DataStage, or MoveIT Automation preferred)
• EDW/ DB experience (Snowflake OR Oracle databases preferred)
• Experience with CI/CD pipelines
• Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively
• Highly developed verbal and written communication skills, with the ability to work up and down within the organization to influence others and achieve results
Preferred Qualifications:
• A degree in a quantitative field such as Data Science, Computer Science, Engineering or Mathematics
• Proven application of advanced techniques in a business setting with impactful results
• CI/CD platforms (Jenkins, GitHub, Control-M)
• Familiarity with data visualization tools such as Tableau and Power BI
• Experience designing and evaluating experiments, including A/B testing and other statistical test methodologies
• Experience with time series modeling techniques and/or product recommendation systems
• Familiarity with data ingestion, transformation, and integration
Any Graduate
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