Data Scientist

Key Responsibilities:

• Design, develop, and maintain Power BI dashboards and reports to support business decision-making.
• Build and optimize data pipelines using ADF, Databricks, and Snowflake.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Perform data extraction, transformation, and loading (ETL) from various sources, including SAP.
• Ensure data quality, integrity, and governance across all platforms.
• Implement best practices for data engineering and analytics workflows.
• Monitor and troubleshoot data pipelines and reporting issues.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum of 6 years of experience in data engineering and analytics.
• Proficiency in Power BI (DAX, data modeling, report design), Azure Data Factory, Databricks (PySpark or Scala), and Snowflake (SQL, performance tuning).
• Strong understanding of ETL processes and data integration techniques.
• Experience working with SAP data sources is a plus.
• Excellent problem-solving and communication skills.

Preferred Qualifications: 

• Experience with CI/CD pipelines for data workflows.
• Familiarity with data governance and security best practices.
• Knowledge of machine learning or advanced analytics is a bonus.
• Flexible work arrangements.

Our team is composed of experts in their fields who are passionate about delivering high-quality work and maintaining a positive work culture. We value innovation, teamwork, and personal growth. As an experienced Data Scientist , you will have the opportunity to make a significant impact on our projects and contribute to the success of our organization. If you are ready to embrace exciting challenges and foster a culture of excellence, we encourage you to apply.

What do we offer:

• Work remotely from anywhere in the world, with a fully remote team, and enjoy a mutually agreed schedule that fits your needs. (Core US working hours) 
• Work primarily with US-based colleagues, providing you with the opportunity to collaborate with people from diverse backgrounds and skill sets.
• Use your skills and expertise to make a significant impact on the delivery of projects in our company
• Work in a supportive environment that values your contribution and provides you with the resources and training you need to grow in your career.
• Enjoy a 40-hour workweek that provides you with a healthy work-life balance, and the time to pursue your personal and professional goals outside of work.

If you are a dedicated Data Scientist looking for an opportunity to work with a dynamic team, we would love to hear from you. Apply today!