Senior Data Scientist

Compunnel, Inc.; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

A technology company is seeking an experienced Senior Data Scientist to join their Enterprise Data and Analytics team. The role involves leveraging machine learning and statistical inference to uncover insights that drive business decisions. Candidates should have a Master's degree and relevant experience with tools like Python and AWS SageMaker. Strong communication skills are essential. This position is located in Columbus, Ohio.

Qualifications

• 1–3 years of experience in machine learning, cloud computing, and statistical analysis.
• Strong knowledge of predictive modeling methodologies and statistical techniques.
• Ability to work with both structured and unstructured data sources.

Responsibilities

• Apply advanced analytics methods to extract value from business data.
• Design and execute large-scale experiments and build data-driven models.
• Conduct research on cutting-edge techniques in machine learning and AI.
• Develop and communicate a vision for leveraging data as a strategic asset.

Skills

Machine learning

Statistical analysis

Predictive modeling

Communication skills

Cloud computing

Education

Master’s degree in Computer Science, Statistics, Economics or related field

Tools

Python

R/RStudio

SAS

SQL

NoSQL

AWS SageMaker

TensorFlow

scikit-learn

Job description

We are seeking an experienced Senior Data Scientist to join our Enterprise Data and Analytics team.

In this role, you will leverage machine learning, segmentation, and statistical inference on large datasets to uncover insights that improve customer understanding and drive business decisions.

You will lead initiatives to model complex business problems, develop predictive solutions, and support senior leadership with actionable analytics.

Key Responsibilities

• Apply advanced analytics methods to extract value from business data.
• Design and execute large-scale experiments and build data-driven models to address business questions.
• Conduct research on cutting-edge techniques in machine learning, deep learning, and AI.
• Define requirements for training and evolving deep learning models and algorithms.
• Develop and communicate a vision and roadmap for leveraging data as a strategic asset.
• Present data-based recommendations to product teams and stakeholders.
• Own the end-to-end model development process: requirements gathering, data sourcing, model fitting, presenting results, and production deployment.

Required Qualifications

• Master’s degree in Computer Science, Statistics, Economics, or related field.
• 1–3 years of experience in machine learning, cloud computing, and statistical analysis.
• Strong knowledge of predictive modeling methodologies and statistical techniques (e.g., Bayesian inference, regression, hierarchical models).
• Proficiency in Python, R/RStudio, SAS, SQL, and NoSQL.
• Experience with Cloud ML technologies (e.g., AWS SageMaker) and ML frameworks (e.g., TensorFlow, scikit-learn, caret).
• Ability to work with both structured and unstructured data sources.
• Strong communication skills for presenting complex results to technical and non-technical audiences.

Preferred Qualifications

• Financial Services industry experience.
• Familiarity with big data tools and scalable data pipelines.
• Experience with web scraping and advanced data engineering techniques.