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Data Scientist

Nityo Infotech CorporationSan Diego, CA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationSan Diego, CA, United States
SQLETLNLPScikit-learnDeep LearningHivePythonMachine LearningData Analysis

Job description

We are hiring for Data Scientist at Oakland/MTV/San Diego CA (3 days Work from Office)

Role: Data Scientist

Location: Oakland/MTV/San Diego CA (3 days Work from Office)

Responsibilities

  • Perform hands-on data analysis and modeling with huge data sets
  • Apply data mining, NLP, and supervised/unsupervised ML to design, improve, and evaluate relevance and personalization algorithms across customer journeys.
  • Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
  • Discover data sources, get access to them, import them, clean them up, and make them model-ready . You need to be willing and able to do your own ETL
  • Engineer and iterate on features from underlying data, combining domain understanding with statistical rigor to propose, evaluate, and refine feature sets that improve model performance over successive cycles.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
  • Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver

Qualifications:

  • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
  • 4+ years of industry experience with Data Science and Machine Learning
  • 4+ years of experience in modern advanced analytical tools, programming languages - Python with scikit-learn
  • Efficient in SQL, Hive, SparkSQL, etc.
  • 4+ years of experience in applied machine learning and statistical modeling (e.g., classification, regression, decision trees, neural networks, recommender systems, sequential pattern discovery, and text mining), with hands-on experience in deep learning and embedding-based representations for NLP/language understanding, recommendation, and personalization.
  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences

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