Global Technical Talent, an Inc. 5000 Company

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position in Conshohocken, PA, offering a 6+ month contract at a competitive pay rate. Requires 5+ years in Data Science/Machine Learning, proficiency in Python and SQL, and experience with MLOps and cloud platforms.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 20, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Conshohocken, PA
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🧠 - Skills detailed
#SQL Queries #Unsupervised Learning #A/B Testing #Deep Learning #Data Extraction #Visualization #"ETL (Extract #Transform #Load)" #Classification #Knowledge Graph #Neural Networks #HBase #TensorFlow #BERT #Data Engineering #ML (Machine Learning) #PyTorch #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Scala #Agile #Data Science #Statistics #Automation #Data Processing #MLflow #SQL (Structured Query Language) #BI (Business Intelligence) #Supervised Learning #Cloud #GCP (Google Cloud Platform) #Airflow #Mathematics #Python #Monitoring #Deployment #Computer Science #DevOps
Role description
Primary Job Title:Data Scientist Alternate / Related Job Titles:Senior Data Scientist Machine Learning Scientist Applied AI Scientist Data Science EngineerLocation:Conshohocken, PA Onsite Flexibility:Hybrid - Average 3 days per week onsiteContract Details:Position Type: Contract Contract Duration: 6+ Months Start: As Soon As PossibleExperience Level:5+ Years of Professional Data Science / Machine Learning ExperienceJob Summary:We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role focuses on developing and deploying advanced machine learning models, neural networks, and MLOps practices to enable personalization, automation, and AI-driven insights across digital products. You will collaborate closely with data engineers, product teams, and business stakeholders to build scalable, production-ready solutions.Key Responsibilities:Machine Learning & AI Development: β€’ Develop and optimize predictive and prescriptive models using supervised and unsupervised learning techniques. β€’ Apply deep learning and neural networks for customer classification, segmentation, and personalization. β€’ Deploy, monitor, and maintain models using MLOps best practices. β€’ Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions. β€’ Explore and integrate Knowledge Graphs to improve AI-driven recommendations. Data Engineering & Pipelines: β€’ Partner with data engineers to design scalable ETL pipelines for large-scale data processing. β€’ Write complex SQL queries for efficient data extraction and transformation. β€’ Implement CI/CD workflows to automate model training, deployment, and monitoring. β€’ Leverage cloud platforms, with GCP preferred. Collaboration & Agile Development: β€’ Work within an Agile / DevOps environment alongside cross-functional teams. β€’ Promote a data-driven culture by educating stakeholders on AI and analytics value. β€’ Communicate complex technical concepts and insights to technical and non-technical audiences. Required Skills & Qualifications: β€’ 5+ years of experience in Data Science, Machine Learning, or related roles. β€’ Strong proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn). β€’ Experience with MLOps tools such as MLflow, Kubeflow, and Airflow. β€’ Hands-on experience with cloud platforms (AWS and/or GCP). β€’ Solid foundation in statistics, probability, and experimental design (A/B testing). β€’ Experience working in Agile and DevOps environments. β€’ Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field. Preferred Qualifications: β€’ Experience with Knowledge Graphs and graph-based data models. β€’ Hands-on work with LLMs and Generative AI (e.g., GPT, BERT, LLaMA, Claude). β€’ Background in Retail and Personalization Web Technologies. β€’ Familiarity with digital ecosystem and data-driven decision-making. β€’ Experience with BI tools and data visualization. Benefits: β€’ Medical Insurance β€’ Vision Insurance β€’ Dental Insurance β€’ 401(k) Retirement Plan About the Company:A leading home furnishing company offering affordable, high-quality products with a strong commitment to sustainability, social responsibility, diversity, and inclusion. The organization leverages digital innovation and data-driven insights to enhance customer experiences globally.About GTT:GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As an economically disadvantaged organization, GTT highly values diverse and inclusive workplaces. GTT partners with Fortune 500 companies across banking, insurance, financial services, technology, life sciences, biotech, utilities, and retail throughout the U.S. and Canada.Job Number: 25-29553Β Β #gttjobs