Data Scientist
Data e publikimit
25-10-2024
Data e perfundimit
22-11-2024
Lloji i orarit
Part Time
Kategoritë
Teknologji e Informacionit
About our company. Established in 2020 by a team of FAA-certified flight and ground instructors, our company is a distinguished financial services institution with deep expertise in aviation and private lending. We are passionately committed to delivering comprehensive financing solutions tailored to student pilots, meeting their financial needs within the aviation sector. Through our dedication to facilitating access to top-tier instructional funding, we fulfill a crucial role in fostering the development of future aviation professionals via specialized flight school loans.
Job Title: Data Scientist
Department: Data Analytics
Job Type: Part Time
Key Responsibilities:
- Advise on the development and optimization of data models that support analytics, business intelligence,
- and data-driven decision-making.
- Provide guidance on integrating disparate data sources, defining data relationships, and ensuring
- consistency across business functions.
- Advise on technologies and tools to maximize data accessibility, flexibility, and performance.
- Collaborate with data engineers and data scientists to define and refine best practices for data pipelines,
- ETL processes, and machine learning model deployment.
- Develop and implement advanced machine learning models, statistical analyses, and data mining
- techniques to solve complex business problems.
- Build and maintain scalable data models and algorithms to analyze structured and unstructured data,
- identifying patterns, trends, and insights that drive business outcomes.
- Create predictive and prescriptive models to forecast future performance, customer behaviors, and other
- key metrics, leveraging tools such as Python, R, and SQL.
- Continuously refine and optimize existing algorithms and data science models to ensure accuracy and
- performance over time.
- Ensure data integrity, consistency, and quality throughout all stages of the analytics process.
- Document all analytics processes and maintain transparency in methodologies used for modeling, data
- transformation, and reporting.
- Main project: Develop and Improve the STRATA Score.
WFH
Next steps: Please submit your resume in pdf version by email: [email protected]
Contact: Cheryl Linato
Subject line: Data Scientist