TPI Global Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Plano, TX, for 12 months at a W2 rate. Requires a Master’s degree, strong Python and SQL skills, ML experience, and knowledge of cloud platforms. Local candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 4, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
-
🧠 - Skills detailed
#NumPy #Cloud #Python #SAS #Visualization #Programming #Azure #SQL (Structured Query Language) #GitHub #Data Analysis #Strategy #Snowflake #Deployment #AWS (Amazon Web Services) #Model Deployment #TensorFlow #Pandas #Data Science #ML (Machine Learning) #"ETL (Extract #Transform #Load)"
Role description
Job Title: Analyst, Data Science
Location: Plano, TX (4 days onsite, 1 day remote)
Duration: 12 months (possible extension)
(W2 POSITION- Local)
About the Role:
We’re seeking a Data Science Analyst who thrives at the intersection of data, programming, and business strategy. You'll work on impactful projects using Python, SQL, and machine learning to extract insights and build predictive models that drive business decisions.
Key Responsibilities:
Clean, analyze, and model data using Python and SQL
Build and deploy predictive/prescriptive models
Create visualizations to communicate insights
Collaborate with cross-functional teams
Support model deployment within a cloud ecosystem
Qualifications:
Master’s degree in a relevant analytical field
Strong Python (Pandas, NumPy) and SQL skills
Experience with ML/statistical modeling (e.g., scikit-learn, TensorFlow)
Knowledge of GitHub, CI/CD, and cloud ML platforms (e.g., AWS, Azure)
Bonus: Experience with Snowflake, Netezza, SAS, or financial data analysis
Job Title: Analyst, Data Science
Location: Plano, TX (4 days onsite, 1 day remote)
Duration: 12 months (possible extension)
(W2 POSITION- Local)
About the Role:
We’re seeking a Data Science Analyst who thrives at the intersection of data, programming, and business strategy. You'll work on impactful projects using Python, SQL, and machine learning to extract insights and build predictive models that drive business decisions.
Key Responsibilities:
Clean, analyze, and model data using Python and SQL
Build and deploy predictive/prescriptive models
Create visualizations to communicate insights
Collaborate with cross-functional teams
Support model deployment within a cloud ecosystem
Qualifications:
Master’s degree in a relevant analytical field
Strong Python (Pandas, NumPy) and SQL skills
Experience with ML/statistical modeling (e.g., scikit-learn, TensorFlow)
Knowledge of GitHub, CI/CD, and cloud ML platforms (e.g., AWS, Azure)
Bonus: Experience with Snowflake, Netezza, SAS, or financial data analysis
