> Markdown version of [/jobs/ext/3125155-data-scientist](https://www.wearedevelopers.com/jobs/ext/3125155-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist

- **Company:** Aziro Technologies Llc
- **Location:** Plano, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Confluence, Big Data, Data Virtualization, Data Warehousing, Document-Oriented Databases, Apache Hive, Python (Programming Language), Machine Learning, Standard Sql, Tableau (Software), Data Processing, Build Management, Data Lakes, Pyspark, Data Analytics, Data Pipelines, Databricks
- **Published:** September 28, 2026
- **Apply:** https://www.dice.com/job-detail/12e4b24a-358d-47c8-b6e9-51b6a4d5afa8

## About the Role

* 7-10 years of experience in analytics engineering, BI, or data analytics
 * Strong SQL and dimensional data modeling expertise
 * Advanced Python/PySpark and Databricks experience (Delta Lake, Spark SQL)
 * Proven Tableau dashboard development experience
 * Hands-on experience with Airflow and AWS (S3, Lambda, SageMaker)
 * Knowledge of pricing analytics and revenue optimization concepts
 * Experience with Denodo or similar data virtualization tools
 * Strong communication skills and ability to translate business needs into analytics solutions
 * Bachelor's degree required; Master's and relevant certifications preferred

## Description

* Design and build analytical data models and ELT pipelines using Databricks, PySpark, and SQL
 * Develop pricing analytics including elasticity, competitive pricing, margin optimization, and recommendation outputs
 * Create Tableau dashboards and enable self-service analytics for business stakeholders
 * Orchestrate and monitor pipelines using Apache Airflow; ensure data quality, reliability, and performance
 * Collaborate with data scientists to productionalize ML models via Amazon SageMaker
 * Optimize queries and data processing for large-scale datasets
 * Partner with product, pricing, and business teams to deliver actionable insights
 * Document data models, logic, and best practices in Confluence