Data Scientist Duration: 8 Months Locations: Basking Ridge, New Jersey; Irving, Texas; Alpharetta, Georgia Work Schedule: Hybrid: 1 day in office / 4 days remote each week Targeted Years of Experience: 6-7 years Responsibilities: • 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 Must Have Skills (Most Important): • 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. Desired skills: • 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. Education/certifications: • Must have: Bachelor's degree or
6 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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