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
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