Compunnel Inc.

Data Scientist--AWADC5799225

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Trenton, NJ, offering a 6-month contract with potential for full-time conversion. Requires 2-4 years of experience, strong Python skills, and expertise in machine learning, data engineering, and Apache Spark.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
May 12, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Trenton, NJ
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🧠 - Skills detailed
#Data Analysis #Datasets #ML (Machine Learning) #Distributed Computing #GIT #Data Pipeline #Apache Spark #Data Manipulation #Data Science #Version Control #Cloud #GCP (Google Cloud Platform) #Spark (Apache Spark) #Data Exploration #Data Engineering #Azure #Databricks #Programming #Data Framework #Deployment #AWS (Amazon Web Services) #Libraries #"ETL (Extract #Transform #Load)" #Model Deployment #Scala #Python #NumPy #Pandas
Role description
Job Title: Data Scientist (Right-to-Hire) Location: Trenton, NJ (Onsite/Hybrid as applicable) Duration: 6-Month Contract (Right to Hire – Full-Time Conversion) Job Summary We are seeking skilled Data Insights Developers to join our growing team. These roles are ideal for professionals with a strong foundation in data science, machine learning, and data engineering. The candidates will work on building data-driven solutions, developing machine learning models, and supporting scalable data pipelines. This is a 6-month contract-to-hire opportunity with potential for full-time conversion. Key Responsibilities • Design, develop, and deploy data-driven solutions to support business insights • Build and train machine learning models for predictive and analytical use cases • Develop and maintain data pipelines and ETL processes using Python • Work with large datasets using distributed computing frameworks such as Spark • Collaborate with cross-functional teams including data analysts, engineers, and business stakeholders • Perform data exploration, cleaning, and feature engineering • Optimize model performance and ensure scalability of solutions • Document processes, models, and workflows for maintainability Required Qualifications • 2–4 years of professional experience in data science, data engineering, or related roles • Strong programming skills in Python • Hands-on experience with machine learning model development and training • Experience working with Apache Spark or similar distributed data frameworks • Solid understanding of data engineering concepts and ETL processes • Experience with data manipulation libraries (e.g., Pandas, NumPy) • Strong problem-solving and analytical skills Preferred Qualifications • Working knowledge of Databricks • Familiarity with cloud platforms (AWS, Azure, or GCP) • Experience with version control tools like Git • Understanding of MLOps concepts and model deployment