Data Science/ML Engineer

Cintrifuse; Cincinnati (OH); On-site; USD 85,000 - 120,000; Full time

Job summary

A data-driven technology company in Cincinnati is seeking an experienced Data Scientist to develop tools and insights from internal and external data sources. In this role, you will design and enhance machine learning models, assess data source effectiveness, and mine data to drive optimization. The ideal candidate will possess strong problem-solving skills, experience in Python, and knowledge of advanced statistical techniques. This position is full-time and offers a dynamic work environment.

Qualifications

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical and ml libraries in python.
• Knowledge of advanced statistical techniques and concepts.
• Experience with machine learning techniques.
• Knowledge of common machine learning algorithms.
• Experience visualizing and presenting data.

Responsibilities

• Design, enhance, and develop new machine learning models and strategies.
• Assess the effectiveness and accuracy of new data sources and gathering techniques.
• Mine and analyze data from company databases to drive optimization.

Skills

Problem solving skills

Statistical and ML libraries in Python

Advanced statistical techniques

Machine learning (supervised, unsupervised, reinforced)

Common machine learning algorithms (SVM, kNN, K-Means, XGBoost)

Data visualization and presentation

Job description

Description

We are looking for an experienced Data Scientist to develop tools and insights from our internal and external data sources. This role spans a wide range of initiatives from internal data analysis to help inform decision making and strategy to enhancing our behavioral machine learning products improving upon the real-time security and fraud protection mechanisms.

Responsibilities

• Design, enhance, and develop new machine learning models and strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Mine and analyze data from company databases to drive optimization

Skills & Qualifications

• Strong problem solving skills with an emphasis on product development
• Experience using statistical and ml libraries in python
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Experience with machine learning (supervised, unsupervised, and reinforced learning)
• Knowledge of common machine learning algorithms (SVM, kNN, K-Means, XGBoost)
• Experience visualizing and presenting data