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Data Scientist - W2

Aziro Technologies LLC

Hybrid in Plano, Texas • Today

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Contract

Depends on Experience

Data scientist (W2 only)

Fervorly

Remote • 7d ago

Easy Apply

Full-time

55 - 70

Contract-W2: Data Scientist

Everest Technologies

Remote • Today

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Full-time, Third Party

Depends on Experience

Data Scientist-Graph Neural Networks & Graph ML (Only W2)

PeopleNTech

Remote • 3d ago

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Contract

Depends on Experience

Data Engineer/Data Scientist (Capacity Planning-Forecasting)

Bayside Solutions

Remote • Today

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Contract

$60 - $70 per hour

Data Scientist (Snowflake Cortex AI)

GreyMatter Solutions

Remote • 10d ago

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Full-time

Depends on Experience

GEOSPATIAL ANALYST MAP_Remote_W2

Keylent

Remote • 10d ago

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Full-time

Depends on Experience

Data Engineer

Resource 1

Remote • 3d ago

Easy Apply

Contract

75 - 85

Aziro Technologies LLC

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Apache Spark
Apache Airflow
Data Analysis
Data Quality
Data Science
Machine Learning (ML)
ELT
SQL
Python
Tableau
Databricks

Summary

Job Title: Data Scientist

Location: Plano, TX - Hybrid

Experience: 7 10 years

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.

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: 9097621
Posted 5 hours 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.

Go to company profile

Fitment

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Contact the job poster

Shaik Riyaz

Recruiter @ Aziro Technologies LLC

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Similar Jobs

Data Scientist

Hybrid in Plano, Texas

•

Today

Job Title: Data Scientist Location: 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 analy

Easy Apply

Contract

$70 - $80

Data Scientist

Hybrid in Plano, Texas

•

Today

Were 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 analytics including elasticity, competitive pricing, margin optimization, and recommendation outpu

Easy Apply

Contract

Depends on Experience

Aziro Technologies LLC

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Apache Spark
Apache Airflow
Data Analysis
Data Quality
Data Science
Machine Learning (ML)
ELT
SQL
Python
Tableau
Databricks

Summary

Job Title: Data Scientist

Location: Plano, TX - Hybrid

Experience: 7 10 years

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: 9097621
Posted 5 hours ago

Company Info

About Aziro Technologies LLC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Shaik Riyaz

Recruiter @ Aziro Technologies LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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