About
Location: Edison NJ
Duration: Full-Time
Job Summary:
We are looking for experienced Data Scientists with strong expertise in Machine Learning, data modeling, and advanced analytics. The ideal candidates should have hands-on experience with Amazon SageMaker and large-scale data platforms such as Apache Iceberg.
Key Responsibilities: Design, build, and deploy ML models and analytics solutions. Work with large-scale structured and unstructured datasets. Develop and optimize ML pipelines using Amazon SageMaker. Collaborate with Data Engineering teams on scalable data platforms and data lake environments. Perform data analysis, feature engineering, model evaluation, and performance tuning. Support AI/ML initiatives and deliver data-driven insights to business teams. Required Skills:
Strong experience in Machine Learning, data modeling, and analytics. Hands-on experience with Amazon SageMaker. Experience with large-scale data platforms such as Apache Iceberg. Strong Python and SQL skills. Experience with ML frameworks/libraries such as Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills. Preferred Qualifications:
AWS cloud experience. Experience with Spark, Hadoop, or distributed data processing platforms. Knowledge of MLOps or Generative AI is a plus. Education:
Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, or related field.
Languages
- English
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