Data Scientist - Financial Tech & Predictive Modeling

GetJobSmart; Nashville (TN); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Harbor National Solutions in Nashville, TN is seeking a Data Scientist to leverage data analysis and machine learning to enhance fintech solutions. The role requires a Master's degree and 3-5 years of experience with Python, R, and SQL. Salary is negotiable and the position is full-time.

You will develop predictive models, analyze complex datasets, and create data-driven insights to support decision-making. Collaboration across teams and ongoing professional development are emphasized.

Qualifications

• Master's degree in Data Science, Computer Science, or related field.
• 3-5 years of experience in data science.
• Proficiency in Python, R, and SQL.
• Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Familiarity with Hadoop, Spark, or Hive.

Responsibilities

• Develop and implement data-driven solutions to enhance financial technology products.
• Analyze large datasets to identify trends and insights for business decisions.
• Build and maintain predictive models to improve services.
• Collaborate with cross-functional teams to align data initiatives with business goals.
• Communicate findings clearly to stakeholders and drive data-informed decisions.
• Mentor junior data scientists and stay updated on data science advancements.

Skills

Python

R

SQL

TensorFlow

PyTorch

scikit-learn

Hadoop

Spark

Hive

Education

Master's degree in Data Science/CS or related field

Bachelor's degree in CS/Statistics/Math or related field

Job description

Harbor National Solutions in Nashville, TN is seeking a Data Scientist to leverage data analysis and machine learning to enhance fintech solutions. The role requires a Master's degree and 3-5 years of experience with Python, R, and SQL. Salary is negotiable and the position is full-time.

You will develop predictive models, analyze complex datasets, and create data-driven insights to support decision-making. Collaboration across teams and ongoing professional development are emphasized.