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# Data Scientist

- **Company:** NEXTPATHAI LLC
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $156,000.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Algorithm Design, Business Analytics Applications, Data Analysis, Analysis of Variance (ANOVA), Microsoft Azure, Big Data, Cloud Database, Computer Programming, Continuous Integration, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, DevOps, R (Programming Language), Graph Database, Python (Programming Language), Machine Learning, NoSQL, Power BI, Tensorflow, Standard Sql, Azure Machine Learning, Unstructured Data, Web Services, Keras, Git, Data Lakes, Atlassian Tools, Machine Learning Operations, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a90bda5dfb22d7d1

## About the Role

* Minimum of a bachelor's degree in Applied Mathematics or Physics. They have interviewed some good candidates that have experience as Data Scientists but when we do a technical assessment the ones without the background in math or statistics struggle with algorithms, which we use quite heavily. A bachelors in either of these disciplines will be sufficient.
 * 5+ years of hand on experience working as a Data Scientist
 * Working in Azure environments including Azure ML
 * Demonstrated experience in machine learning techniques, probabilistic reasoning, data science, and/or optimization
 * Must have direct experience in the design and implementation in areas such as machine learning, artificial intelligence, operational research, or statistical methods.
 * Data Integration / ETL / ELT tools
 * Good understanding of dimensional data modeling, data transformation & designing analytical data structures
 * Python, * Demonstrated experience in machine learning techniques, probabilistic reasoning, data science, and/or optimization
 * Proven ability in creating explainable models and implementing advanced algorithms into production
 * Experience in implementing supervised and unsupervised machine learning techniques, analysis of variance (ANOVA) and statistical significance test
 * Demonstrated programming experience in Python, R, Keras, TensorFlow with .NET integration
 * Acts as a key contributor to all phases of the design and development lifecycle of analytic applications utilizing various technology platforms
 * Experience developing/implementing analytic solutions in the Amazon or Azure cloud that leverage relational, in-memory, NoSQL, document and/or graph databases
 * Strong analytical skills, able to translate complex business requirements into sound architectural solutions
 * Experience designing and implementing data pipeline for analytical model consumption of structured, semi-structured, and/or unstructured data in batch and real-time environments
 * Experience with APIs, Web Services
 * Good SQL skills, broad exposure to all language constructs
 * Ability to work in a fast-paced, collaborative team environment
 * Data Integration / ETL / ELT tools
 * Excellent written and verbal communication skills and ability to express ideas clearly and concisely
 * Performs other related duties as directed

Skills & Competencies

 * 5+ years of hand on experience working as a Data Scientist
 * Power BI with ML integration
 * Working in Azure environments including Azure ML
 * Familiarity with DevOps and CI/CD as well as Agile tools and processes including Git, and Azure DevOps

Education or Prior Work Experience

Minimum of a bachelor's degree in applied mathematics or physics.

## Description

Data Scientist is an exceptional critical thinker that is adept at solving complex problems and creating elegant business solutions. You will be involved in the design and development efforts for our big data solutions including data lake, Business Intelligence Solutions, Machine Learning, Data Pipeline, and cloud-based data warehouse products.
You must have direct experience in the design and implementation in areas such as machine learning, artificial intelligence, operational research, or statistical methods.