Overview Job Title: Junior Python Developer Location: Glen Allen, VA, USA Apply: Apply Details Workplace Type: Hybrid Zip Code: Job ID: 44346 Standard Hours: 40 Compensation Range: Up to $65,000/year commensurate with experience About the Company The retail industry continues to see unprecedented dynamics as it pivots to a true omni-channel shopping experience. Informed retailers are succeeding, and RDSolutions is providing them with the consultation and critical data services to define, monitor and react to their ever-changing customer preferences and competitor advances. Every day retailers are making million-dollar decisions based on the insights we are providing. RDSolutions\'s track record spans nearly 40 years in providing retail data and intelligent solutions for virtually every major North American retailer. About the Role RDSolutions is seeking a resourceful Python Developer to join the team, focusing on Data Analysis, Data Science, Data Engineering, and Data Visualization projects. The ideal candidate will have hands-on experience with Python and a passion for working with data. Experience with Databricks is preferred, but motivated college graduates with strong Python skills are welcome to apply. 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. Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (recent graduates welcome). Proficiency in Python, especially with Pandas and PySpark. Experience with SSRS and PowerBI for reporting and visualization. Understanding of data engineering concepts and ETL processes. Exposure to AI/ML concepts and techniques. Knowledge of Databricks or willingness to learn. Strong analytical and problem-solving skills. Excellent planning, organizational, communication, and time management skills. Benefits Opportunity to work on a hybrid schedule - Tue/Wed/Thu onsite in our corporate headquarters office. A competitive base salary plus annual bonus eligibility. Comprehensive benefits package including medical, dental, vision, 401k + match. An international and diverse work environment. Opportunity to begin making immediate contributions to the organization. Equal Employment Opportunity Statement: RetailData is committed to a policy of nondiscrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religious creed, national origin, sex, age, disability, marital status, or sexual orientation #J-18808-Ljbffr RetailData LLC
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