Data-Driven Python Developer – Analytics & AI

RetailData LLC

Glen Allen (VA)

Hybrid

USD 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision
401k + match
Hybrid onsite Tue/Wed/Thu
Diverse, international environment

Job summary

RetailData LLC is seeking a Python Developer to join our data-focused team, emphasizing Data Analysis, Data Science, Data Engineering, and Data Visualization projects. Strong Python skills and a passion for data are essential.

You will analyze large datasets with Pandas/PySpark, develop reports with SSRS and PowerBI, build ETL pipelines, apply AI/ML techniques, and collaborate with stakeholders to deliver actionable insights.

Qualifications

  • Proficiency in Python with Pandas/PySpark.
  • Experience with SSRS and PowerBI for reporting/visualization.
  • Understanding of data engineering concepts and ETL processes.
  • Exposure to AI/ML concepts and techniques.
  • Willingness to learn Databricks and scalable data tasks.

Responsibilities

  • Analyze and process large datasets using Python (Pandas, PySpark).
  • Develop, maintain, and optimize reports and dashboards using SSRS and PowerBI.
  • Build and maintain data pipelines and ETL workflows.
  • Apply AI/ML techniques to extract insights and build predictive models.
  • Collaborate with stakeholders to understand data requirements and deliver actionable insights.
  • Work with Databricks for scalable data engineering tasks.
  • Visualize data and communicate findings effectively.

Skills

Python
Pandas
PySpark
Databricks
SSRS
PowerBI
ETL
Data Visualization
AI/ML (basics)

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Job description

RetailData LLC is seeking a Python Developer to join our data-focused team, emphasizing Data Analysis, Data Science, Data Engineering, and Data Visualization projects. Strong Python skills and a passion for data are essential.

You will analyze large datasets with Pandas/PySpark, develop reports with SSRS and PowerBI, build ETL pipelines, apply AI/ML techniques, and collaborate with stakeholders to deliver actionable insights.

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