Senior Data Scientist

brobstongroup.com - Jobboard; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

brobstongroup.com - Jobboard is seeking a Senior Data Scientist to develop and deploy advanced analytics and machine learning solutions for store and eCommerce operations. You will partner with cross‑functional teams to develop data-driven strategies and actionable business insights.

The ideal candidate will possess over 3 years of experience in data science along with strong proficiency in Python and SQL. You will design predictive models and analyze large datasets while effectively communicating findings to stakeholders.

Qualifications

• 3+ years of experience in data science, machine learning, or a related field.
• Proficiency in Python and SQL; experience with ML frameworks such as scikit‑learn or TensorFlow.
• Strong statistical background and experience with model evaluation and validation.
• Experience with large-scale data platforms and data visualization tools.

Responsibilities

• Design, develop, and deploy predictive models and algorithms to improve customer experience and operations.
• Analyze large structured and unstructured datasets to generate actionable insights.
• Collaborate with product, merchandising, and engineering teams to define analytics requirements and implement solutions.
• Monitor model performance, troubleshoot production issues, and implement continuous improvement.

Job description

Summary

As a Senior Data Scientist you will develop and deploy advanced analytics and machine learning solutions to drive business insights for store and eCommerce operations. You will partner with cross‑functional teams to translate business problems into data-driven strategies and measurable outcomes. The role requires delivering scalable models and effectively communicating findings to stakeholders.

Responsibilities

• Design, develop, and deploy predictive models and algorithms to improve customer experience and operations.
• Analyze large structured and unstructured datasets to generate actionable insights.
• Collaborate with product, merchandising, and engineering teams to define analytics requirements and implement solutions.
• Monitor model performance, troubleshoot production issues, and implement continuous improvement.

Requirements

• 3+ years of experience in data science, machine learning, or a related field.
• Proficiency in Python and SQL; experience with ML frameworks such as scikit‑learn or TensorFlow.
• Strong statistical background and experience with model evaluation and validation.
• Experience with large-scale data platforms and data visualization tools.