- Support the various AI/ML models that need to be deployed to production
- Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline
- Test and validate AI Models. Deploy and manage models throughout the end to end lifecycle.
- Industrialize the model pipeline which includes Testing & validation of the model pipeline
- Be part of the requirements for new enhancements in model/solution
- Propose new ideas/solutions that can be helpful for the project overall
- Analyze and understand problems and issues to convert these insights into system requirements
- Build scalable and high performance Machine Learning and Data Mining algorithms
- Solid foundational quantitative knowledge and skills. Extensive training in math, statistics, physical science, engineering, or other related fields is required.
- Experience in leading large-scale data science projects and delivering from end to end.
- Deep technical expertise in machine learning and statistical modeling.
- Strong knowledge of tree-based classification and regression techniques such as boosting and random forest. Expert knowledge of ML Python frameworks, packages, and libraries (e.g., pandas, numpy, scikit-learn, pytorch).
- Strong hands-on programming experience with demonstrated expertise in Python.
- Strong expertise in SQL programming.
- Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others.
- Experience with GCP, AWS, or other cloud computing services.
- Strong communication and interpersonal influencing skills.
- Excellent problem-solving and critical-thinking capabilities.
- Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus.
- Experience with Recommendation and Ranking systems.
- Experience with R, Scala, or Java is preferred.
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Data Scientist - Basking Ridge, United States - eTeam
Description
Title:
Senior Data Scientist
Location:
Basking Ridge, New Jersey; Irving, Texas; Alpharetta, Georgia
Hybrid: 1 day in office / 4 days remote each week
Duration: 8+ Months
Targeted Years of Experience: 10+ years
Responsibilities:
MUST HAVE SKILLS (Most Important):
DESIRED SKILLS:
EDUCATION/CERTIFICATIONS:
Must have:
Bachelor's degree or 10+ years experience in practicing machine learning and data science in business.
Desired:
Master's degree in a quantitative field or equivalent. A Ph.
D. in Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, or Data Science is preferred.
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