

Datum Technologies Group
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Philadelphia, PA, with a contract length of unspecified duration. The pay rate is also unspecified. Candidates should have 5+ years of experience in Data Science, expertise in Python and SQL, and familiarity with MLOps and cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
November 14, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Philadelphia, PA
-
π§ - Skills detailed
#Monitoring #Neural Networks #BI (Business Intelligence) #Model Deployment #ML (Machine Learning) #Statistics #Knowledge Graph #Cloud #BERT #Deployment #Airflow #GCP (Google Cloud Platform) #MLflow #SQL (Structured Query Language) #Data Science #Agile #Visualization #Data Engineering #Data Pipeline #A/B Testing #TensorFlow #Mathematics #Automation #"ETL (Extract #Transform #Load)" #Computer Science #AI (Artificial Intelligence) #Python #DevOps #PyTorch #AWS (Amazon Web Services) #Scala
Role description
Role: Data Scientist
Work location: Philadelphia, PA
Job Summary
We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, support MLOps practices, to enhance personalization, and automation within our digital products. You will work closely with data engineers, product teams, and business stakeholders to build scalable data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Large Language Models (LLMs), Generative AI, and Knowledge Graphs.
Required Skills & Qualifications
β’ 5+ years of experience in Data Science, Machine Learning, or related fields.
β’ Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
β’ Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
β’ Proficiency in cloud platforms (AWS/GCP) and scalable data engineering.
β’ Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
β’ Experience with collaborative software engineering practices (Agile, DevOps).
β’ Bachelor's or Masterβs degree in Computer Science, Mathematics, Engineering, or related field.
Preferred Qualifications
β’ Experience with Knowledge Graphs and their integration into AI/ML pipelines.
β’ Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
β’ Background in Retail and Personalization Web Technologies.
β’ Understanding of clientβs digital ecosystem and data-driven decision-making.
β’ Proficiency in business intelligence (BI) tools and data visualization.
Role: Data Scientist
Work location: Philadelphia, PA
Job Summary
We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, support MLOps practices, to enhance personalization, and automation within our digital products. You will work closely with data engineers, product teams, and business stakeholders to build scalable data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Large Language Models (LLMs), Generative AI, and Knowledge Graphs.
Required Skills & Qualifications
β’ 5+ years of experience in Data Science, Machine Learning, or related fields.
β’ Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
β’ Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
β’ Proficiency in cloud platforms (AWS/GCP) and scalable data engineering.
β’ Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
β’ Experience with collaborative software engineering practices (Agile, DevOps).
β’ Bachelor's or Masterβs degree in Computer Science, Mathematics, Engineering, or related field.
Preferred Qualifications
β’ Experience with Knowledge Graphs and their integration into AI/ML pipelines.
β’ Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
β’ Background in Retail and Personalization Web Technologies.
β’ Understanding of clientβs digital ecosystem and data-driven decision-making.
β’ Proficiency in business intelligence (BI) tools and data visualization.






