Data Scientist

GeorgiaTEK Systems Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

GeorgiaTEK Systems Inc. in the United States is seeking a Senior Data Scientist Specialist to develop advanced analytical solutions for financial products such as credit analysis loans and credit cards.

This role will create customized statistical models, apply machine learning techniques and drive innovations that improve data‑driven decision making; you will collaborate with Product Risk and Technology teams.

Qualifications

• Education: Bachelor's degree in Statistics, Mathematics, Engineering, Physics or related fields.
• Strong knowledge of statistics and machine learning principles.
• Experience in data manipulation and analysis.
• Experience in predictive modeling.
• Programming skills in Python or R.
• Understanding of credit lifecycle and financial products.

Responsibilities

• Develop custom statistical models and predictive analytics solutions to support business strategies.
• Continuously improve processes and propose innovations in modeling and analysis.
• Perform data manipulation exploration and analysis of large datasets.
• Collaborate with Product Risk and Technology teams to transform data into actionable insights.

Skills

Statistics & ML

Data manipulation & analysis

Predictive modeling

Programming (Python/R)

Credit lifecycle knowledge

Education

Bachelor's degree in Statistics, Mathematics, Engineering, Physics or related fields

Job description

We are looking for a Senior Data Scientist Specialist to develop advanced analytical solutions focused on financial products such as credit analysis loans and credit cards. This professional will be responsible for creating customized statistical models applying machine learning techniques and driving innovations that enhance data driven decision making.

Key Responsibilities

• Develop custom statistical models and predictive analytics solutions to support business strategies
• Continuously improve processes and propose innovations in modeling and analysis
• Perform data manipulation exploration and analysis of large datasets
• Collaborate with Product Risk and Technology teams to transform data into actionable insights

Required Qualifications

Education Bachelors degree in Statistics Mathematics Engineering Physics or related fields

Technical Skills

• Strong knowledge of statistics and machine learning principles
• Proven experience in data manipulation and analysis
• Previous experience in predictive modeling
• Solid programming skills eg Python or R
• Understanding of the credit lifecycle and financial products