Pentangle Tech Services | P5 Group
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis in Raleigh, NC, for 3 days a week, offering a competitive pay rate. Key skills include Python, SQL, and machine learning. Experience with utility or energy data is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#IoT (Internet of Things) #Anomaly Detection #Cloud #Spark (Apache Spark) #Deployment #Version Control #Regression #Data Exploration #NumPy #Classification #Statistics #Databricks #Documentation #Data Analysis #ML (Machine Learning) #Datasets #Data Science #Pandas #Time Series #Clustering #SQL (Structured Query Language) #Python
Role description
Data Scientist
Onsite in Raleigh, NC 3 days a week
Summary
We are seeking a hands on Data Scientist for a contract engagement with expectation to continue further pending budget to develop analytics and machine learning solutions using large, complex datasets. The role will focus on data analysis, feature engineering, and model development, working closely with engineering and product teams to deliver practical, production ready insights. Experience working with utility or energy data(electric, gas, water, AMI, IoT, or timeseries data) is a strong plus. If not Utility experience, experience with Demography is also very beneficial and preferred.
Key Objectives
● Analyze large datasets to uncover patterns, trends, and anomalies.
● Develop and validate statistical and machine learning models.
● Deliver insights and models that directly support product, operational, or engineering decisions. ● Collaborate with engineers to support deployment or operationalization of models.
Working with Senior PHD level lead Data Scientist to realize models and take direction.
● Produce clear documentation and knowledge transfer for internal teams.
Core Responsibilities
● Perform data exploration, cleaning, and feature engineering.
Build and evaluate models(e.g., regression, classification, clustering, anomaly detection, timeseries).
● Design and analyze experiments where appropriate.
● Translate business or operational problems into analytical solutions.
● Communicate findings to technical and nontechnical stakeholders.
● Follow disciplined development practices (version control, documentation, reproducibility).
Required Skills & Experience
● Strong experience in data science or advanced analytics roles.
● Proficiency in Python (pandas, NumPy, scikit learn or equivalent).
● Solid understanding of statistics and machine learning fundamentals.
● Experience working with SQL and structured datasets.
● Ability to work independently and become productive quickly in a CSW environment.
Preferred Experience
● Utility, energy, or industrial data (electric, gas, water, AMI, IoT). Or Demography experience
● Time series data and anomaly detection.
● Bigdata or analytics platforms (e.g., Spark, Databricks, cloud data platforms).
● Experience supporting models in production or near production environments.
Data Scientist
Onsite in Raleigh, NC 3 days a week
Summary
We are seeking a hands on Data Scientist for a contract engagement with expectation to continue further pending budget to develop analytics and machine learning solutions using large, complex datasets. The role will focus on data analysis, feature engineering, and model development, working closely with engineering and product teams to deliver practical, production ready insights. Experience working with utility or energy data(electric, gas, water, AMI, IoT, or timeseries data) is a strong plus. If not Utility experience, experience with Demography is also very beneficial and preferred.
Key Objectives
● Analyze large datasets to uncover patterns, trends, and anomalies.
● Develop and validate statistical and machine learning models.
● Deliver insights and models that directly support product, operational, or engineering decisions. ● Collaborate with engineers to support deployment or operationalization of models.
Working with Senior PHD level lead Data Scientist to realize models and take direction.
● Produce clear documentation and knowledge transfer for internal teams.
Core Responsibilities
● Perform data exploration, cleaning, and feature engineering.
Build and evaluate models(e.g., regression, classification, clustering, anomaly detection, timeseries).
● Design and analyze experiments where appropriate.
● Translate business or operational problems into analytical solutions.
● Communicate findings to technical and nontechnical stakeholders.
● Follow disciplined development practices (version control, documentation, reproducibility).
Required Skills & Experience
● Strong experience in data science or advanced analytics roles.
● Proficiency in Python (pandas, NumPy, scikit learn or equivalent).
● Solid understanding of statistics and machine learning fundamentals.
● Experience working with SQL and structured datasets.
● Ability to work independently and become productive quickly in a CSW environment.
Preferred Experience
● Utility, energy, or industrial data (electric, gas, water, AMI, IoT). Or Demography experience
● Time series data and anomaly detection.
● Bigdata or analytics platforms (e.g., Spark, Databricks, cloud data platforms).
● Experience supporting models in production or near production environments.
