

VGreen Technology Solutions (VGreenTEK)
Senior Data Scientist with IoT & Real-Time Analytics (Oil & Gas) - 100% Remote
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist specializing in IoT and Real-Time Analytics within the Oil & Gas sector. Contract length is 6 months, with a pay rate of 1.2 LPM. Requires 5+ years of experience, proficiency in Python/R, SQL, and machine learning frameworks.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
February 14, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Fixed Term
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π - Security
Unknown
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π - Location detailed
Nashville Metropolitan Area
-
π§ - Skills detailed
#Big Data #Data Science #Computer Science #IoT (Internet of Things) #ML (Machine Learning) #Python #Cloud #R #SQL (Structured Query Language)
Role description
Role:Β Senior Data Scientist - Oil & Gas | IoT & Real-Time Analytics
Experience: 5 + years
Work mode: Remote
Budget: 1.2 LPM
Employment: Contract - 6 months
Required Skills & Experience:
β’ Bachelorβs or Masterβs in Computer Science, Data Science, Engineering, or related field.
β’ Strong experience with Machine Learning frameworks.
β’ Experience in the Oil & Gas sector.
β’ Hands-on with IoT data systems, real-time streaming, and edge analytics.
β’ Proficiency in Python/R, SQL, and modern data platforms (cloud, big data tools).
β’ Ability to work independently and collaboratively in cross-functional teams.
Role:Β Senior Data Scientist - Oil & Gas | IoT & Real-Time Analytics
Experience: 5 + years
Work mode: Remote
Budget: 1.2 LPM
Employment: Contract - 6 months
Required Skills & Experience:
β’ Bachelorβs or Masterβs in Computer Science, Data Science, Engineering, or related field.
β’ Strong experience with Machine Learning frameworks.
β’ Experience in the Oil & Gas sector.
β’ Hands-on with IoT data systems, real-time streaming, and edge analytics.
β’ Proficiency in Python/R, SQL, and modern data platforms (cloud, big data tools).
β’ Ability to work independently and collaboratively in cross-functional teams.






