Data Analyst/Machine Learning Researcher

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

Created: 2024-11-09