Data Analyst/Machine Learning Researcher
Job Summary
We are seeking a highly skilled Senior Data Scientist with 8 to 11 years of experience to join our team. The ideal candidate will have a strong background in Statistics and Machine Learning with a preference for those who have experience in Merchandising. This hybrid role offers the flexibility of both remote and in-office work with no travel required. The successful candidate will play a crucial role in driving data-driven decision-making and innovation within our organization.
Responsibilities
• Lead the development and implementation of advanced statistical models and machine learning algorithms to solve complex business problems.
• Oversee the collection processing and analysis of large datasets to extract actionable insights.
• Provide expertise in statistical analysis predictive modeling and data mining techniques.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Develop and maintain scalable data pipelines and ETL processes.
• Ensure the accuracy and integrity of data used for analysis and reporting.
• Design and conduct experiments to test hypotheses and validate models.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
• Stay current with the latest advancements in data science and machine learning technologies.
• Mentor and guide junior data scientists to foster a culture of continuous learning and improvement.
• Utilize domain knowledge in Merchandising to provide context and relevance to data-driven insights.
• Contribute to the development of best practices and standards for data science within the organization.
• Drive innovation by exploring new data sources and techniques to enhance analytical capabilities.
Qualifications
• Possess a strong foundation in Statistics and Machine Learning with hands-on experience in applying these skills to real-world problems.
• Demonstrate proficiency in programming languages such as Python or R.
• Have experience with data visualization tools like Tableau or Power BI.
• Show expertise in working with large datasets and distributed computing frameworks such as Hadoop or Spark.
• Exhibit strong problem-solving skills and the ability to think critically and analytically.
• Possess excellent communication skills both written and verbal to effectively convey complex technical concepts to non-technical stakeholders.
• Have a proven track record of successfully leading data science projects from conception to deployment.
• Nice to have experience in the Merchandising domain providing valuable context for data-driven insights.
• Be comfortable working in a hybrid work model balancing remote and in-office work as needed.
• Show a commitment to continuous learning and staying updated with the latest industry trends and technologies.
Certifications Required
Certified Data Scientist Machine Learning Certification Advanced Statistics Certification
Location: New York, NY
Posted: Nov. 11, 2024, 9:32 p.m.
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