Data Scientist AI/ ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist AI/ML with 12+ years of experience, a W2 contract, and a hybrid location in Dallas, TX. Key skills include R, Python, SQL, and BI tools like Tableau. A Bachelor's degree in a relevant field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#Data Pipeline #Computer Science #Python #Data Science #R #NLP (Natural Language Processing) #Regression #SQL (Structured Query Language) #Programming #Scala #Unsupervised Learning #Visualization #Forecasting #Microsoft Power BI #Classification #Java #BI (Business Intelligence) #Statistics #Mathematics #Supervised Learning #ML (Machine Learning) #Tableau #Scripting #AI (Artificial Intelligence) #Streamlit
Role description
Job Title: Data Scientist
Location: Dallas, TX (Hybrid)
H1B transfer also fine
Need 12+ yrs of exp...
W2 Contract
What will you do
• Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks, including Open Source
• Work closely with Data and Software Engineers to provide robust and sustainable Business Intelligence
• Visual thinking of outputs, such as Tableau/ Power BI/ Streamlit, etc, dashboards. Crispness in communicating the outputs is necessary
• Strong coding skills in R and Python, and scripting in SQL and MS Excel. Any other relevant programming language skills like Java, Scala, Julia, et, would be gladly welcomed
• Dependable hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data optimally
• Demonstrable experience in Supervised and Unsupervised learning from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms
What you'll need
• Being an Analytics-focused role, this job mandates a clear understanding of frameworks/tools to create reproducible and valid insights while slicing and dicing the data for various needs across the business lines
• Wrapping data insights into narratives and visualizations is a great-to-have. Familiarity with Interpretable/ Explainable Machine Learning and Causal Inference is nice to have.
• Must have anywhere between 4-6 years of impactful experience in creating Data-driven products and productionizing ML models, while being mindful of Data pipelines.
• Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems, or any other Scientific discipline along with relevant experience. Or a Master's/ PhD with lesser, but applicable, experience is ideal. Nonetheless, an Analytic conviction in all the outputs is nature.
Share me your resumes to Puneeth.p@sqaudsoftwares.com
Job Title: Data Scientist
Location: Dallas, TX (Hybrid)
H1B transfer also fine
Need 12+ yrs of exp...
W2 Contract
What will you do
• Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks, including Open Source
• Work closely with Data and Software Engineers to provide robust and sustainable Business Intelligence
• Visual thinking of outputs, such as Tableau/ Power BI/ Streamlit, etc, dashboards. Crispness in communicating the outputs is necessary
• Strong coding skills in R and Python, and scripting in SQL and MS Excel. Any other relevant programming language skills like Java, Scala, Julia, et, would be gladly welcomed
• Dependable hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data optimally
• Demonstrable experience in Supervised and Unsupervised learning from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms
What you'll need
• Being an Analytics-focused role, this job mandates a clear understanding of frameworks/tools to create reproducible and valid insights while slicing and dicing the data for various needs across the business lines
• Wrapping data insights into narratives and visualizations is a great-to-have. Familiarity with Interpretable/ Explainable Machine Learning and Causal Inference is nice to have.
• Must have anywhere between 4-6 years of impactful experience in creating Data-driven products and productionizing ML models, while being mindful of Data pipelines.
• Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems, or any other Scientific discipline along with relevant experience. Or a Master's/ PhD with lesser, but applicable, experience is ideal. Nonetheless, an Analytic conviction in all the outputs is nature.
Share me your resumes to Puneeth.p@sqaudsoftwares.com
