Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 4-6 years of experience, onsite in Dallas, TX, for over 6 months. Requires strong skills in R, Python, SQL, and data visualization tools like Tableau and Power BI, along with expertise in machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Programming #Python #SQL (Structured Query Language) #Scripting #Forecasting #Mathematics #Visualization #BI (Business Intelligence) #Statistics #Computer Science #Data Science #Microsoft Power BI #NLP (Natural Language Processing) #Regression #Data Pipeline #Unsupervised Learning #Streamlit #R #Supervised Learning #Scala #Tableau #Java #ML (Machine Learning) #Classification
Role description
We are actively hiring for Data Scientist
Full time or Contract
Onsite - Dallas, TX (5 days a week)
Need Local candidates to Dallas
Final round will be inperson
• 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, 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, etc 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
• Being an Analytics-focused role, this job mandates 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 are great-to-haves. 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 Masters/ PhD with lesser, but applicable, experience is ideal. Nonetheless, an Analytic conviction in all the outputs is naturally essential.
We are actively hiring for Data Scientist
Full time or Contract
Onsite - Dallas, TX (5 days a week)
Need Local candidates to Dallas
Final round will be inperson
• 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, 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, etc 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
• Being an Analytics-focused role, this job mandates 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 are great-to-haves. 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 Masters/ PhD with lesser, but applicable, experience is ideal. Nonetheless, an Analytic conviction in all the outputs is naturally essential.
