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# Data Scientist

- **Company:** Public Private Ventures
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $83,200.0 - $93,600.0
- **Contract:** Contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Health Informatics, Data Visualization, DevOps, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, Standard Sql, Tableau (Software), Google Cloud, Cloud Platform System, Feature Engineering, Pytorch, Prophet, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Pandas, Semi-structured Data, Git Flow, Scikit Learn, Information Technology, Xgboost, Plotly, Machine Learning Operations, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/d697c112-1cb7-4c29-bf77-ea16b3d84df2

## About the Role

* 3-5 years of hands-on experience in data science or applied machine learning
 * Strong Python (pandas, NumPy, scikit-learn) and SQL
 * Experience with gradient boosting (XGBoost, LightGBM) and model evaluation and validation
 * Experience with time-series forecasting (Prophet, ARIMA or similar)
 * Solid statistics: hypothesis testing, experiment design, probability
 * Experience with at least one cloud platform (AWS, Azure or Google Cloud Platform)
 * Ability to explain technical results to business stakeholders
 * Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Math or similar)

Preferred

 * Deep learning with PyTorch or TensorFlow
 * NLP or LLM experience (embeddings, RAG, prompt engineering)
 * MLOps tools: MLflow, Docker, Airflow, Git-based workflows
 * Visualization tools: Power BI, Tableau or Plotly
 * Predictive maintenance, financial analytics or healthcare analytics experience
 * Master's degree in a quantitative field

Work Authorization: Must be legally authorized to work in the US without sponsorship.

## Description

Nimara Ventures places senior AI, DevOps and product engineers with US companies. We're looking for a Data Scientist to turn client data into models and decisions. You'll work from problem definition through feature engineering, modeling, validation and deployment, and explain results clearly to business stakeholders.

What You'll Do

 * Frame business problems as data science problems and agree success metrics with stakeholders
 * Clean, explore and engineer features from structured and semi-structured data
 * Build and evaluate predictive models: classification, regression, clustering and time-series forecasting
 * Run experiments and A/B tests, and measure the business impact of models
 * Build anomaly detection and forecasting solutions for operational, financial or industrial data
 * Work with engineers to deploy models and monitor them for drift and performance
 * Create clear dashboards, reports and presentations for non-technical audiences
 * Document methodology, assumptions and results so work can be reproduced