Job Title: Data Scientist

Location: Philadelphia, PA

Duration: 3 Months (CTH)

*Send me the resumes to [email protected]
<[email protected]>*

*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.



*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 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.



What are the Mandatory skills and skill proficiencies required for this
position?

*Required Skills & 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 (AWS/GCP) and scalable data engineering.

• Strong understanding of probability theory, statistics, and experimental
design (A/B Testing).

• Experience with collaborative software engineering practices (Agile,
DevOps).

• Bachelor's or Master’s degree in Computer Science, Mathematics,
Engineering, or related field.

Preferred Qualifications

• 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.

• Background in Retail and Personalization Web Technologies.

• Understanding of client’s 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!"

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