Insight Global
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length through the end of the year, remote work, and a pay rate of $37-40/hour. Requires a Bachelor's degree, 4+ years of analytics experience, proficiency in Python, R, SQL, and data visualization tools. Experience in the energy industry is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
320
-
🗓️ - Date
April 23, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Databases #Database Management #Data Quality #Visualization #R #Tableau #Data Analysis #Data Integrity #Leadership #Programming #Statistics #Computer Science #Pivot Tables #"ETL (Extract #Transform #Load)" #Data Science #Python #Strategy #Datasets
Role description
Position: Data Scientist
Pay Rate: $37-40/hour
Location: Remote
Duration: Contract through the end of the year + extensions
Start Date: ASAP
Shift: M-F 8-4pm CST
Musts:
• Bachelors degree in Data Analytics, Computer Science, Statistics, Business or related field.
• 4+ years applying advanced analytics, statistical modeling, and database management skills.
• Proficient in Office 365 (Microsoft Office Suite) with strong experience generating pivot tables and pivot charts.
• Proficiency in programming languages such as Python, R, SQL, etc.
• Strong experience identifying trends and insights from data sets to help leadership make informed decisions.
• Proficient in data visualization tools such as PowerBI and Tableau.
• Experience with data analysis from project work.
Plusses:
• Experience in the oil and gas or energy industry.
Day to Day:
We are looking for a Data Scientist to join a project for a company in the energy industry! This role will be required to analyze complex data sets to extract meaningful insights and drive business decisions as well as bridge gaps between technical expertise and business strategy by collecting, cleaning, and interpreting data. Developing predictive models and communicating results and findings to stakeholders.
The role will also be required to collect, review, analyze, update and maintain a series of databases to generate reports. Ensure data integrity of internal databases. Be able to analyze data for inconsistencies, error, and repair data sets. Draft weekly and quarterly reports associated with evolving datasets.
• Data Collection from various sources, cleaning and transforming the data into useable formats while ensuring data quality.
• Evaluate and develop data models that validate predictive models, assess performance
• Iterate data models to improve efficiency and accuracy.
• Model and analyze data by applying statistical models, learning algorithms, etc. to present patterns, trends, and insights.
• Develop weekly, monthly, and quarterly reports that present findings through visualizations and presentations to stakeholders.
• Collaborate and work with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Ensure successful implementation of any data-driven solutions.
• Perform basic calculations if necessary.
• Provide support to team with data analysis when necessary.
Position: Data Scientist
Pay Rate: $37-40/hour
Location: Remote
Duration: Contract through the end of the year + extensions
Start Date: ASAP
Shift: M-F 8-4pm CST
Musts:
• Bachelors degree in Data Analytics, Computer Science, Statistics, Business or related field.
• 4+ years applying advanced analytics, statistical modeling, and database management skills.
• Proficient in Office 365 (Microsoft Office Suite) with strong experience generating pivot tables and pivot charts.
• Proficiency in programming languages such as Python, R, SQL, etc.
• Strong experience identifying trends and insights from data sets to help leadership make informed decisions.
• Proficient in data visualization tools such as PowerBI and Tableau.
• Experience with data analysis from project work.
Plusses:
• Experience in the oil and gas or energy industry.
Day to Day:
We are looking for a Data Scientist to join a project for a company in the energy industry! This role will be required to analyze complex data sets to extract meaningful insights and drive business decisions as well as bridge gaps between technical expertise and business strategy by collecting, cleaning, and interpreting data. Developing predictive models and communicating results and findings to stakeholders.
The role will also be required to collect, review, analyze, update and maintain a series of databases to generate reports. Ensure data integrity of internal databases. Be able to analyze data for inconsistencies, error, and repair data sets. Draft weekly and quarterly reports associated with evolving datasets.
• Data Collection from various sources, cleaning and transforming the data into useable formats while ensuring data quality.
• Evaluate and develop data models that validate predictive models, assess performance
• Iterate data models to improve efficiency and accuracy.
• Model and analyze data by applying statistical models, learning algorithms, etc. to present patterns, trends, and insights.
• Develop weekly, monthly, and quarterly reports that present findings through visualizations and presentations to stakeholders.
• Collaborate and work with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Ensure successful implementation of any data-driven solutions.
• Perform basic calculations if necessary.
• Provide support to team with data analysis when necessary.
