Lead Data Scientist - ML & Banking (On-Site)

Insight Global; Columbus (OH); On-site; USD 82,656 - 89,544; Full time

Job summary

A well-known staffing company is seeking an experienced analytics professional in Columbus, OH. The role requires a Master's degree and extensive experience in statistics, machine learning, and competitive modeling across financial services. Responsibilities include leading the development and deployment of data-driven models and mentoring junior team members. Candidates should be proficient in Python, R, or SAS, and have a strong analytical mindset. A competitive pay structure between $60.00/hr and $65.00/hr is offered, with a contract type of employment.

Qualifications

• Master's degree and 5+ years experience in statistics and machine learning.
• Expert understanding of statistical methods like Bayesian Networks and regression.
• Experience with big data analysis tools and predictive models.

Responsibilities

• Prioritize analytical projects based on business value.
• Conduct research on machine learning techniques.
• Own the model development process from requirement gathering to deployment.
• Provide leadership and mentoring to team members.
• Work with stakeholders to ensure business needs are met.

Skills

Knowledge of machine learning and data analytics tools

Predictive modeling methodology

Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)

Experience with machine learning environments (e.g., TensorFlow, scikit-learn)

Financial Services background

Ability to train junior analysts

Ability to communicate complex results

Intellectually curious thinker

Education

Master's degree or PhD in computer science, statistics, economics, or related fields

Tools

R/RStudio

Python

SAS

SQL

Job description

A well-known staffing company is seeking an experienced analytics professional in Columbus, OH. The role requires a Master's degree and extensive experience in statistics, machine learning, and competitive modeling across financial services. Responsibilities include leading the development and deployment of data-driven models and mentoring junior team members. Candidates should be proficient in Python, R, or SAS, and have a strong analytical mindset. A competitive pay structure between $60.00/hr and $65.00/hr is offered, with a contract type of employment.