Senior Data Scientist

NuAxis Innovations; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

NuAxis Innovations seeks a Senior Data Scientist to join our federal IT team in the United States. You will lead advanced analytical modeling, transform complex enterprise datasets into actionable insights, and support data-driven decision-making across enterprise initiatives.

You will develop, validate, and deploy models, create dashboards, and translate results into executive-ready narratives. Collaboration with data architects, engineers, and stakeholders is essential to monitor drift and

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science or related field.
• 5–8 years of analytics or data science experience, including model development through production deployment.
• Cloud ML certifications such as AWS SageMaker Specialty or Azure Data Scientist Associate within 180 days of assignment.

Responsibilities

• Frame business problems as analytical problems; define hypotheses, metrics, and success criteria.
• Develop, validate, and operationalize statistical and machine learning models.
• Perform exploratory analysis, feature engineering, and model performance evaluation.
• Build dashboards and data narratives translating model output into executive-ready insight.
• Partner with data architects and engineers to productionize models and monitor drift.
• Document methodology, assumptions, limitations, and responsible-use considerations.

Skills

Machine learning

Python

R

SQL

Statistical analysis

Data storytelling

Dashboard development

Model validation

Education

Bachelor's degree in Data Science, Statistics, Computer Science

Tools

Databricks

SageMaker

Azure ML

Power BI

Tableau

Jupyter

Airflow

Job description

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.
Technology is our Passion. People are our Purpose.
We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it is a state of mind.
We believe happy employees do amazing work, so we are currently seeking a Senior Data Scientist for a Full-Time position.

Job Summary

Leads advanced analytical modeling and extracts actionable insight from complex enterprise datasets to support data-driven decision-making across enterprise initiatives.

Key Responsibilities

• Frame business problems as analytical problems; define hypotheses, metrics, and success criteria.
• Develop, validate, and operationalize statistical and machine learning models.
• Perform exploratory analysis, feature engineering, and model performance evaluation.
• Build dashboards and data narratives that translate model output into executive-ready insight.
• Partner with data architects and engineers to productionize models and monitor drift.
• Document methodology, assumptions, limitations, and responsible-use considerations.

Minimum Qualifications

• Minimum Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum Experience: Five (5) to eight (8) years of analytics or data science experience, including model development through production deployment.
• Certifications — Required: None.
• Certifications — Obtainable After Hire: Cloud machine learning certification (AWS Certified Machine Learning - Specialty or Microsoft Certified Azure Data Scientist Associate), within 180 days of assignment.
• Certifications — Preferred: Databricks Certified Machine Learning Professional; SnowPro Advanced: Data Scientist; TensorFlow Developer Certificate.
• Required Skills: Machine learning modeling; Python and/or R; SQL; statistical analysis; data storytelling; dashboard development; model validation.
• Preferred Skills: MLOps and model monitoring; natural language processing; cloud ML platforms; generative AI and large language model application experience.

Technical Environment

Python with pandas, scikit-learn, PyTorch, and TensorFlow; R; SQL; Jupyter and Visual Studio Code; Databricks; Amazon SageMaker and Azure Machine Learning; MLflow experiment tracking and model registry; Apache Airflow; Snowflake and cloud data warehouses; Power BI and Tableau; LangChain and retrieval-augmented generation patterns; vector stores (Pinecone, pgvector, or OpenSearch).

Our Profile

We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them.
NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. about our Benefits and Culture!