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
More Information
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1