AWS Data Scientist - Malvern, PA (Hybrid) - Fulltime Role

Hybrid in Malvern, PA, US • Posted 1 day ago • Updated 1 day ago
Full Time
No Travel Required
Able to Sponsor
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • AWS
  • Data Scientist
  • Machine Learning
  • NLP
  • Python
  • SQL
  • SageMaker
  • Redshift

Summary

Position: AWS Data Scientist

Location : Malvern, PA (Hybrid)

Duration: Fulltime

 


 

Job Description

We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.

Required Skills & Qualifications

  • Minimum 8+ years of experience in Data Science, AI, or Machine Learning
  • Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning
  • Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda
  • Strong foundation in statistics, predictive modeling, and ML algorithms
  • Proficiency in SQL and experience with data visualization techniques
  • Excellent communication and stakeholder management skills

Key Responsibilities

  • Design, develop, and deploy AI/ML models and data science solutions on AWS
  • Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
  • Perform advanced data analysis, feature engineering, model training, and optimization using Python
  • Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
  • Implement MLOps practices for model deployment, monitoring, retraining, and version control
  • Translate complex business problems into AI/ML-driven solutions
  • Ensure adherence to data security, governance, and compliance standards

Preferred Qualifications

  • AWS Certifications (Machine Learning – Specialty or Solutions Architect)
  • Experience with big data technologies such as Spark
  • Exposure to real-time or streaming data pipelines
  • Background in financial services or regulated industries

 

 

Best Regards,

Chetna

Truth Lies in  Heart

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10459902
  • Position Id: 1277-22664-
  • Posted 1 day ago
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