Data Scientist: Insights-Driven Retail Growth

Brecks Group; New York (NY); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salaries

Comprehensive benefits

Opportunities for growth and development

Job summary

A leading retail company in New York is seeking an experienced Data Scientist to analyze large datasets and provide data-driven solutions. In this role, you’ll develop machine learning algorithms and collaborate with various departments to enhance business strategies. The ideal candidate should have a degree in a relevant field and at least 3 years of experience. Excellent communication skills and proficiency in Python, R, and SQL are required, along with a passion for leveraging data to drive growth.

Qualifications

• Minimum of 3 years of experience as a Data Scientist.
• Proven track record of delivering actionable insights and business value.
• Experience with big data technologies is a plus.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Develop and implement advanced machine learning algorithms.
• Collaborate with cross-functional teams to provide data-driven recommendations.
• Design and conduct A/B testing to measure effectiveness.
• Present findings clearly to stakeholders using visual aids.
• Stay updated with industry trends in data science.

Skills

Data mining

Machine learning

Statistical analysis

Data visualization

Python

R

SQL

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field

Tools

Hadoop

Spark

Hive

Job description

A leading retail company in New York is seeking an experienced Data Scientist to analyze large datasets and provide data-driven solutions. In this role, you’ll develop machine learning algorithms and collaborate with various departments to enhance business strategies. The ideal candidate should have a degree in a relevant field and at least 3 years of experience. Excellent communication skills and proficiency in Python, R, and SQL are required, along with a passion for leveraging data to drive growth.