Data Scientist
Precision Technologies
midpermanentdata United States 93 days ago via LinkedIn
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
Machine LearningPythonData AnalysisExploratory Data Analysis (EDA)Feature EngineeringModel EvaluationRecommendation SystemsForecastingAgileCloud Computing
About the role
Data Scientist (W2 / Full-Time)
Location: United States (Onsite / Hybrid / Remote based on client requirement)
Role Overview
You will collect, analyze, and model structured and unstructured data to build machine learning and analytics solutions that drive data-driven decision-making.
Key Responsibilities
- Collect, clean, transform, and analyze structured and unstructured datasets from multiple sources.
- Develop, train, and deploy ML models for:
- Classification, regression, clustering, and forecasting
- Perform statistical analysis, hypothesis testing, and exploratory data analysis (EDA).
- Build predictive models, recommendation engines, and advanced analytics solutions.
- Collaborate with business stakeholders to identify opportunities for data-driven decisions.
- Create dashboards, reports, and visualizations to communicate insights.
- Develop and optimize feature engineering and model evaluation processes.
- Work with large datasets using distributed computing and cloud technologies.
- Monitor model performance and improve accuracy and reliability over time.
- Document methodologies, findings, and technical solutions.
- Participate in Agile/Scrum ceremonies and work with cross-functional teams.
Requirements
- Work-authorized to work in the United States (Visa: open to all work-authorized candidates except H1B).
Nice-to-Haves
- Experience with distributed computing and cloud-based data/ML pipelines.
- Experience partnering with business stakeholders and communicating results via dashboards and visualizations.
About Precision Technologies
Precision Technologies is a technology services company that works with clients across the United States. It focuses on delivering data-driven solutions, including analytics and machine learning models, to support business decision-making.
Scraped 6/24/2026