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Data Scientist ONLY W2

Aziro Technologies LLC

Hybrid in Plano, Texas • 19d ago

Easy Apply

Contract

Depends on Experience

Data Scientist - W2

Aziro Technologies LLC

Hybrid in Plano, Texas • 18d ago

Easy Apply

Contract

Depends on Experience

Senior Marketing Data Scientist

USAA

Plano, Texas • Today

Full-time

Compensation information provided in the description

Data Scientist

J VERS LLC

Dallas, Texas • Today

Full-time

Senior AI Data Scientist ? Solutions Developer

USAA

Plano, Texas • Today

Full-time

Compensation information provided in the description

Data Scientist

Ventechsoft Inc

Hybrid in Dallas, Texas • 16d ago

Easy Apply

Full-time

Depends on Experience

Data Scientist Architect

Mars Technominds Inc

Hybrid in Garland, Texas • 17d ago

Easy Apply

Contract

70 - 75

DATA SCIENTIST

Sally Holdings LLC

Plano, Texas • Today

Full-time

Staff Data Scientist

Grid Dynamics Holdings, Inc

Plano, Texas • Today

Full-time

Data Scientist 1

Epitec, Inc.

Irving, Texas • Today

Full-time

USD 51.00 - 54.00 per hour

Data Scientist

Marquam Group

Dallas, Texas • Today

Full-time

Data Scientist

Aditi Consulting

Irving, Texas • 3d ago

Easy Apply

Contract

$52 - $55

Deep Learning Data Scientist II

Spectral MD, Inc.

Dallas, Texas • Today

Full-time

Lead Software Engineer - AI/ML Data Scientist

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Data Scientist - IV

Judge Group, Inc.

Irving, Texas • Today

Contract

USD 70.00 - 75.00 per hour

Data Scientist (Automotive Logistics, AWS Cloud)

InnoCore Solutions, Inc.

Dallas, Texas • Yesterday

Easy Apply

Contract

Depends on Experience

Data Scientist : Grand-Prairie, Texas 75050 Hybrid

Tekaccel, Inc

Grand Prairie, Texas • 2d ago

Full-time, Contract, Third Party

Principal Data Scientist

Spiceorb

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Contract-W2: Data Scientist

Everest Technologies

Remote • 20d ago

Easy Apply

Full-time, Third Party

Depends on Experience

AI Data Scientist

Everest Technologies

Remote • 4d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

Factspan Inc

Remote • 7d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

SANS

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Data Scientist (Snowflake Cortex AI)

GreyMatter Solutions

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist with Python and SQL

TrustMinds, Inc.

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Data Scientist with Neural Networks AND Machine Learning

ApTask

Remote • 11d ago

Easy Apply

Contract

50 - 55

Senior Data Scientist

Fiekon

Remote • 29d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist - Healthcare Analytics || Remote || FTE

IT First Source

Remote • 17d ago

Easy Apply

Full-time

$120,000 - $135,000

URGENT: Data Scientist with Healthcare Experience (W2 - REMOTE)

HR Giants

Remote • 13d ago

Easy Apply

Contract

Depends on Experience

Senior Data Scientist / Data Engineer Generative AI Engine Optimization

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $95

Product Data Scientist / Data Operations Analyst - W2 80-88/hr

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $88

Aziro Technologies LLC

Job Details

Skills

Data Science
Machine Learning (ML)
Python
PySpark
PostgreSQL

Summary

Role Overview

We re looking for an experienced Data Scientist to support our AI/ML-powered pricing engine. This role sits between data engineering and business analytics, building scalable data models, pricing insights, and analytics solutions that drive data-informed pricing decisions.

Key Responsibilities

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

Required Qualifications

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

===

Additional information:

Talent needs in data, analytics, and AI

Have historically struggled to find talent within the data and analytics business organization, particularly for the data-and-AI work supporting the business unit.
The client s expectations have shifted away from traditional staffing models toward more forward-deployed engineers who can do more than one thing.
Desired profiles now include people who can handle development, testing, and other multi-skilled engineering work, rather than single-skill specialists.
Identified specific hard-to-source technologies and capabilities, including:

PostgreSQL and related database skills
Fivetran, which he noted is especially difficult to source
Broader AI-ready engineering capability, with an AI-first mindset focused on building agents and automating tasks through agentic workflows

The business is starting to pivot traditional data engineering roles into hybrid data + AI roles.
Additional demand was identified in the data science area, including data scientists, MLOps engineers, and ML engineers.

Estimated immediate need at roughly 2 to 3 data science roles, and potentially 3 to 5 additional roles over the next 2 quarters as the organization shifts toward more AI-led operations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10426227
Position Id: WAS217
Posted 19 days ago

Company Info

About Aziro Technologies LLC

Aziro (formerly MSys Technologies and pronounced as "Ah-zee-roh") is an AI-native product engineering company driving innovation-led transformation for global enterprises, high-growth ISVs, and AI-first pioneers.

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Wasim Ahmed

Recruiter @ Aziro Technologies LLC

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Similar Jobs

Data Scientist - W2

Hybrid in Plano, Texas

•

18d ago

Job Title: Data ScientistLocation: Plano, TX - Hybrid Experience: 7 10 years Role Overview We re looking for an experienced Data Scientist to support our AI/ML-powered pricing engine. This role sits between data engineering and business analytics, building scalable data models, pricing insights, and analytics solutions that drive data-informed pricing decisions. Key Responsibilities Design and build analytical data models and ELT pipelines using Databricks, PySpark, and SQLDevelop pricing analyt

Easy Apply

Contract

Depends on Experience

Aziro Technologies LLC

Job Details

Skills

Data Science
Machine Learning (ML)
Python
PySpark
PostgreSQL

Summary

Role Overview

Key Responsibilities

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

Required Qualifications

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

===

Additional information:

Talent needs in data, analytics, and AI

Have historically struggled to find talent within the data and analytics business organization, particularly for the data-and-AI work supporting the business unit.
The client s expectations have shifted away from traditional staffing models toward more forward-deployed engineers who can do more than one thing.
Desired profiles now include people who can handle development, testing, and other multi-skilled engineering work, rather than single-skill specialists.
Identified specific hard-to-source technologies and capabilities, including:

PostgreSQL and related database skills
Fivetran, which he noted is especially difficult to source
Broader AI-ready engineering capability, with an AI-first mindset focused on building agents and automating tasks through agentic workflows

The business is starting to pivot traditional data engineering roles into hybrid data + AI roles.
Additional demand was identified in the data science area, including data scientists, MLOps engineers, and ML engineers.

Estimated immediate need at roughly 2 to 3 data science roles, and potentially 3 to 5 additional roles over the next 2 quarters as the organization shifts toward more AI-led operations.

Dice Id: 10426227
Position Id: WAS217
Posted 19 days ago