Data Scientist

Description

• Design and implement data models that support analytics and operational needs.
• Optimize ETL processes for scalability and performance.
• Build and maintain robust data pipelines for ingestion, transformation, and storage.
• Apply statistical and machine learning techniques to large datasets.
• Develop predictive models and advanced analytics to support business decisions.
• Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value.
• Define standards for data governance, security, and integration.

Requirements

• Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP).
• Strong understanding of data modeling principles and database technologies (SQL/NoSQL).
• Strong business acumen to understand decision drivers with internal and external customers
• Familiarity with distributed systems and big data technologies.
• Strong communication and project management skills are critical.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis.
• Programming: Python, SQL, and optionally Scala or Java.
• Strong communication skills for translating technical insights into business value.
• Ability to work across data architecture design and data science experimentation.
• 5+ years of experience in data science, including at least 3 years in industrial or operational environments.
• Honesty and integrity in all aspects of business
• Bachelor’s degree in data science, engineering, or related field. (Adv. degrees a plus.)
• Ability to work across technical, commercial, and customer-facing teams.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance