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# Data Scientist

- **Company:** Technology Partners, LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Data Mining, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, Tensorflow, SQL Databases, Pytorch, Apache Spark, Information Technology, Data Analytics, Data Management, Software Library
- **Published:** October 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6a1c59d5f8bcc743

## About the Role

The Imagine team is a growing company, and we are inviting a motivated Data Engineer to join our talented team! This candidate will leverage data and analysis to deliver the most innovative products in healthcare. The ideal candidate will have a combination of analytical thinking and an ability to use collected data to provide actionable insights.

If you are looking for a place that offers a challenging and fast-paced environment with the opportunity to grow and develop, look no further! We are always looking for quality people to join our growing team. Must-haves include the ability to adapt to an ever-changing environment, work quickly and efficiently, continuously challenge the status quo, and be an innovative and solutions-based thinker., * BS in computer science, math, or data science

 * Master's degree preferred
 * Minimum of five years' experience as a data scientist, * In depth knowledge of various machine learning libraries like Pytorch, Tensorflow, etc.
 * Advanced skills in SQL and Python
 * Knowledge of Amazon Web Services, Microsoft Azure Cloud, and Apache Spark.
 * Ability to communicate highly technical results and methods to both technical and non-technical audiences.
 * Excellent organization and interpersonal skills
 * Demonstrated experience building data models and using the results to report on various metrics and strategies

Employment Type

Full Time, Exempt

Reporting Structure

Sr. Vice President, Data Science

Location & Work Authorization
Charlotte, NC is the preferred location for this position.

This position is not eligible for H-1B visa sponsorship or C2C (Corp-to-Corp) arrangements. Candidates must be authorized to work in the United States without employer sponsorship, now or in the future.

## Description

* Analyze various datasets using statistical & data mining techniques including Python scripting language.
 * Develop hypotheses from data & domain understanding, and statistically test those hypotheses to provide actionable insights.
 * Build data models and infrastructure to version data used for model training.
 * Design natural language processing pipelines using deep neural networks, and other machine learning techniques using python scripting language.
 * Develop training & tuning methodologies to train machine learning models in most efficient way.
 * Design and implement evaluation strategies for various models on baseline datasets to measure progress on various metrics.
 * Build scalable data science pipelines using big data tools & techniques to efficiently ingest and preprocess large amounts of data before training a machine learning model with it.
 * Enable integrations of various tools and technologies to streamline data science pipelines like amazon web services, python scripting language, PostgreSQL database and Apache Spark.
 * Develop code infrastructure to enable continuous improvement, continuous development pipeline.
 * Prepare documentation and visualization for team communication and correspondence on project progress.
 * Enable and develop computer science/data science best practices and reporting templates.
 * Design and develop codebase with appropriate testing and coding hygiene.
 * Utilize the various capabilities of hardware and software resources to enable efficient processing of data and training of deep neural networks.
 * Understand the architectural design of various machine learning libraries like Pytorch, Tensorflow, etc. to find the best solution as well as the hardware resources available.
 * Implement deep neural architectures and machine learning algorithms on mathematical level. Tweak these algorithms and architectures accordingly
 * Utilize education in machine learning and statistics to find appropriate solutions
 * Research and implement emerging technologies to determine best solutions
 * Other duties as assigned