About HomeSource Systems HomeSource Systems is a dynamic, fast-growing company at the forefront of digital innovation for retailers and manufacturers. For over a decade, we've empowered clients by transforming complex data into seamless, user-friendly cloud solutions. We provide a comprehensive Business Management Solution (CBMS) and Point-of-Sale (POS) system tailored for big-ticket retailers, helping manage inventory, sales, accounting, and e-commerce. We are committed to delivering visually stunning, high-performing websites and fostering a culture of creativity, collaboration, and cutting-edge technology. Job Title: Data Scientist/Engineer Location: Marlton, NJ/Hybrid/Remote Job Summary Are you passionate about transforming raw data into business insights? Join HomeSource Systems as a Data Scientist/Data Engineer and play a key role in unlocking the potential of our datasets. You will design scalable data pipelines, architect cloud data warehouses, and turn complex data into actionable intelligence to drive product innovation and enhance customer experience. If you enjoy leveraging advanced technologies to solve real-world problems and influence the future of retail technology, this is the role for you. Responsibilities include: Designing and building scalable data pipelines and ETL/ELT processes. Building and managing cloud-based data warehousing solutions. Ensuring data quality, integrity, and accuracy. Developing data models and database designs for performance and scalability. Analyzing large datasets to identify trends and insights. Creating dashboards and reports for data visualization. Collaborating with cross-functional teams to meet data needs. Implementing machine learning models for predictive analytics and customer segmentation. Staying updated with emerging data technologies and methodologies. Qualifications: Proven experience as a Data Engineer, Data Scientist, or similar role. Experience with cloud platforms (AWS, Google Cloud, Azure) and data services. Proficiency in SQL, Python or Scala. Knowledge of data warehousing and big data technologies. Strong problem-solving and communication skills. Preferred Skills: Experience with data visualization tools (Tableau, Power BI, etc.). Knowledge of machine learning libraries and MLOps practices. Experience with version control and data governance. Understanding of retail industry or SaaS business models. Compensation We offer competitive salaries and benefits, with a flexible work environment and opportunities for professional growth. Work Environment Our hybrid work model allows you to work from home three days a week and in the office two days, fostering flexibility and collaboration. Fully remote options are available outside certain regions. Equal Opportunity We are committed to diversity and equal employment opportunities for all applicants and employees. #J-18808-Ljbffr