Data Scientist

Pacer Group

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profile Job Location:

Philadelphia, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Data Scientist

Job location: Philadelphia PA

Job Duration: 3 Months to Contract

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 Recommendation Engines Large Language Models (LLMs) Generative AI and Knowledge Graphs.

Key Responsibilities:

Machine Learning & AI Development

  • Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making. Knowledgeable in supervised and unsupervised learning. Apply deep learning and neural network techniques for customer classification and profiling customer segmentation and personalization.
  • Utilize MLOps and GCP services to efficiently deploy monitor and maintain ML models in production.
  • Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
  • Explore and integrate knowledge graphs to enhance data relationships and improve AI-driven recommendations.

Data Engineering & Pipelines

  • Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
  • Write complex SQL queries for extracting transforming and loading (ETL) data efficiently. Implement CI/CD workflows to automate model training deployment and monitoring.

Collaboration & Agile Development

  • Work in an Agile/DevOps environment collaborating with cross-functional teams to drive data-driven innovation.
  • Promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
  • Clearly communicate complex methodologies results and business insights to both technical and non-technical audiences.

Qualifications

  • 5 years of experience in Data Science Machine Learning or related fields.
  • Strong expertise in Python SQL and modern ML frameworks (TensorFlow PyTorch Scikit-Learn).
  • Experience with MLOps tools (MLflow Kubeflow Airflow) for model deployment and monitoring.
  • Proficiency in cloud platforms (GCP) and scalable data engineering.
  • Experience implementing and testing recommendation engines.
  • Strong understanding of probability theory statistics and experimental design (A/B Testing).
  • Experience with collaborative software engineering practices (Agile DevOps).
  • Bachelors or Masters degree in Computer Science Mathematics Engineering or related field.

Preferred Qualifications

  • Background in Retail and Personalization Web Technologies.
  • Experience with Knowledge Graphs and their integration into AI/ML pipelines.
  • Hands-on experience in LLMs (e.g. GPT BERT LLaMA Claude) and Generative AI technologies.
  • Understanding of clients digital ecosystem and data-driven decision-making.
  • Proficiency in business intelligence (BI) tools and data visualization.

Why Join Us

  • Work on high-impact AI/ML projects driving digital transformation.
  • Collaborate with top-tier professionals in a fast-paced environment.
  • If you are passionate about machine learning MLOps knowledge graphs and cutting-edge AI apply now to be part of our innovative team
Job Title: Data Scientist Job location: Philadelphia PA Job Duration: 3 Months to Contract 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 learnin...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills