Data Scientist

Description

• Utilize your educational background in a quantitative field, such as computer science, mathematics, or engineering, to analyze complex datasets and develop predictive models.
• Apply your expertise in analytics and machine learning to develop an AI-driven asset management model, focusing on the total cost of ownership and performance optimization.
• Showcase your aptitude for continuous learning by staying up-to-date with the latest advancements in data science and technology.
• Collaborate closely with data scientists and analysts, providing them with clean, structured data necessary for advanced statistical modeling and machine learning.
• Design, build, and maintain robust data pipelines and ETL processes, ensuring data accuracy and accessibility for analysis and modeling.
• Maintain a strong understanding of data warehousing, cloud technologies, and big data solutions, constantly updating and improving our data and analytics infrastructure.
• Harness your passion for problem-solving to identify opportunities for improvement and drive data-driven decisions.
• Collaborate with cross-functional teams to ensure the successful implementation of data-driven solutions.
• Create optimization models for strategic resource allocation and operational efficiency.
• Develop and manage APIs for efficient data consumption, facilitating seamless integration and utilization of data across various platforms.
• Apply your expertise in analytics, with over five years' experience, to solve real-world problems, using machine learning, artificial intelligence, linear programming, generative AI, NLP/large language models or other data science techniques.

Requirements

• A natural curiosity and enthusiasm for tackling challenging problems.
• Proficiency in data manipulation and programming languages such as Python, R, or SQL.
• Proven track record of delivering actionable insights and solutions from complex data and analytic models.
• Familiarity with data visualization tools and techniques [Power BI, Tableau, Python libraries).
• Demonstrate strong communication skills, effectively translating technical insights into actionable business strategies.
• Over ten years of experience in data analytics, with a strong emphasis on machine learning, AI, or data science.
• Bachelor's degree or higher in a quantitative field (Computer Science, Mathematics, Engineering, etc.).
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
• Exposure and growing familiarity with LLMs/Generative AI and potential applications.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance