557 IT & Software Developer jobs in the US
Senior Data Scientist - AI/ML - Retail
$40,000 - 65,000
City Hall Walkways, Philadelphia
$40,000 - 65,000
Requirements
Must:
- 7+ years of background in Data Science, Machine Learning, or related domains
- Proficient in Python, SQL, and contemporary ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow) for deploying and monitoring models
- Experienced with cloud platforms (GCP/AWS) and scalable data engineering practices
- Strong grasp of probability theory, statistics, and experimental design methodologies (A/B Testing)
- Knowledge of collaborative software engineering practices (Agile, DevOps)
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field
- Experience with Knowledge Graphs in AI/ML workflows (preferred)
- Practical exposure to LLMs (such as GPT, BERT, LLaMA, Claude) and Generative AI technologies (preferred)
- Background in Retail and Personalization Web Technologies (preferred)
- Understanding of digital ecosystems and data-driven decision-making (preferred)
- Skilled in BI tools and data visualization (preferred)
Responsibilities
- Develop and refine predictive and prescriptive models to derive insights and enhance decision-making
- Leverage deep learning and neural network techniques for customer classification, segmentation, and tailored experiences
- Utilize MLOps practices to efficiently deploy, monitor, and sustain ML models in a production environment
- Implement and optimize Large Language Models (LLMs) and Generative AI for automation and user engagement
- Investigate and integrate knowledge graphs to enhance data interconnectivity and improve AI-driven recommendations
- Collaborate with data engineers to create and develop robust data pipelines for extensive ETL processing using SQL and cloud-based solutions (preferably GCP)
- Write intricate SQL queries for efficient data extraction, transformation, and loading (ETL), and establish CI/CD workflows to automate model training, deployment, and monitoring
- Engage in an Agile/DevOps setting, fostering a data-centric culture and effectively communicating complex methodologies and findings to both technical and non-technical stakeholders
Description
At Capgemini Engineering, we are leaders in engineering and R&D services, merging our extensive industry knowledge with advanced digital and software technologies to bridge the physical and digital worlds. We support our employees well-being at every stage of their career, offering flexible work arrangements, comprehensive healthcare plans, financial wellness programs, paid time off, and various family-building benefits. Our inclusive culture encourages growth and continuous learning, as we aim to drive AI/ML adoption across a global landscape. Join us in Philadelphia, PA, where the blend of innovation, collaboration, and diversity fuels our mission to deliver meaningful impact.
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How many Data Engineer jobs are in the United States?
Currently, there are 557 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
bunny.net, Murmuration, Quesys Inc., Hard Rock Digital, Giesecke+Devrient, D3 Security Management Systems, Targeted Approach among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 92 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 92 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.