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Job ID : 25042

Location : Boston, MA

Company Name : Tangle Systems LLC

Job Type : Full-Time, contract, training

Industry : Information Technology

Salary : $50 - $70  per hour

No. of Positions : 2-4


Required Skills : DATA SCIENTIST.

Benefits : None of These


Job Description :

Tangle System has an immediate requirement for Data Scientist in Boston, MA 

The AIML (Artificial Intelligence and Machine Learning) team contributes to the vitality and growth of the organization through researching and building complex, cutting edge and scalable AI algorithms, models, platforms and technologies to significantly improve customer experience and drive business results. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand.

The Expertise You Have

  • A natural programmer, with demonstrated industry experience statistics, machine learning, data modeling and building associated pipelines - Experience with one or more of the following tools/frameworks – Python, scikit-learn, nltk, pandas, NumPy, R, PySpark, Scala, SQL/big data tools, TensorFlow, PyTorch
  • 5+ years of data science experience in financial, healthcare or digital services industries.
  • NLP, Java/Python development, JSPs, JavaScript, SQL, Relational/NoSQL database, VXML is preferred, 1+ years of AI/ML techniques and knowledge of Bayesian concepts)
  • Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with A/B testing, causal inference and experimentation methods are preferred
  • Education: At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc.
  • Good communication and problem solving skills

 

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