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Data Scientist – Machine Learning 535 views

Job description

Senior Data Scientist – Machine Learning

Location: New York City NYC

Our team is building a new platform, that powers Machine Learning and AI across all customer product lines.  As part of our growing core machine learning / artificial intelligence team you will be responsible for applying machine learning, image processing, and clarity within a cross-functional team that deploys value-added products and solutions in real time.  Be able to bring a research mindset to the team for deep dives into the most challenging product focused problems.

Summary:

  • Experience with profiling and optimizing algorithms to meet performance requirements
  • Responsible for implementing highly optimized data analytics processing algorithms on big data batch and stream processing frameworks (ie. Hadoop MapReduce, Spark, etc)
  • Apply machine learning techniques (both supervised and unsupervised) to improve and enhance algorithms.

Experience:

  • 3-5 years of professional experience (Post-Academic).
  • Experience in Machine Learning and ML concepts, multilabel classification, personalization, recommender, etc…
  • Experience with deep learning, deep/transfer learning models, neural networks, CNN, RNN, random forests, classifiers or Artificial Intelligence.
  • Big Data technologies, AWS, Hadoop, Spark, Hive, Kafka, Flume, NoSQL stores (HBase, Cassandra, DynamoDB, MongoDB), and RDBMS Oracle is a plus.

Education:

  • Advanced degree Master’s or Bachelors or Ph.D in Computer Science, Statistics, Algorithms, or related (PhD preferred but not required).

Benefits:

Medical, Dental, Vision, 401k

Tech Conferences

Snacks and Drinks

Weekly Catered Lunches

Gym Reimbursement

Monthly Social Gatherings

Learning and Development Budget

Annual Offsite

info@tekvizor.com

keywords: machine learning, data science, deep learning, neural networks, pytorch

Seniority Level

Director

Industry

  • Health, Wellness & Fitness
  • Hospital & Health Care
  • Insurance

Employment Type

Full-time

Job Functions

  • Information Technology
  • Science
  • Research

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