Data Scientist - Retail

TechDigital Group; Nashville (TN); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading technology solutions group is seeking an experienced Data Scientist with extensive retail domain experience. You will be responsible for data collection, modeling, and visualization to solve business problems. Ideal candidates will have strong programming skills, expertise in machine learning algorithms, and the ability to work collaboratively with cross-functional teams to drive strategic recommendations.

Qualifications

• Minimum 6-8+ years of relevant experience in data scientist role in retail.
• Strong hands-on development skills in Python or similar programming language.
• Excellent problem-solving and critical thinking skills.

Responsibilities

• Collect data from various sources and clean for analysis.
• Design and build predictive models to solve business problems.
• Create dashboards and visualizations to communicate insights effectively.

Skills

Data mining

Machine learning

Prediction algorithms

Data visualization

Data analysis

Big Query

Tools

Python

GCP

Job description

Retail domain experience is mandatory

Mandatory skills: Data mining, Machine learning(regression and classification), prediction algorithms , data visualization, Data analysis, Big Query.

Job Description:
• Minimum 6-8+ years of relevant experience in data scientist role in Retail domain is a must
• Expertise in data analysis & modeling around retail problem statements ranging from inventory shrinkage, -ve inventory etc.
• Strong hands on development skills on Python or similar programing language.
• Strong understanding on machine learning algorithms and statical modeling.
• Experience in data visualization tools.
• Familiarity with cloud platform- GCP.
• Excellent problem solving and critical thinking skills
• Strong communication and presentation skills.
Responsibilities:
• Data Collection and cleaning : collect data from various sources/systems and clean for analysis.
• EDA ( exploratory data analysis) understand data patterns and analysis.
• Modelling : design , build predictive models and machine learning algorithm to solve business problem. Validate and fine tune models to ensure scalability .
• Visualization and Communication : create dashboard and visualization to communicate insights effectively.
• Coloration and Strategy : work closely with cross functional team included data engineers, product managers and business team.
• Understand the business objective and align data science solution accordingly
• Provide strategic recommendations.