TASC

Senior Data Scientist

TASC

full-time

Posted on:

Location Type: Office

Location: New York City • Montana, New York • 🇺🇸 United States

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Job Level

Senior

Tech Stack

HadoopKerasMySQLNumpyPandasPythonScikit-LearnSparkTensorflow

About the role

  • Design, develop and deliver innovative ML/AI solutions for various data science projects
  • Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM)
  • Gain a clear understanding of business operations and data needed to solve problem statements for specific projects
  • Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners
  • Present your approach to the solution and model output to various business partners
  • Maintain a current knowledge of advanced TDA and ML/AI tools and techniques
  • Work with different product teams and be an integral part of model deployment
  • Need to build and maintain strong relationships with internal Mastercard partners

Requirements

  • Education in a highly quantitative field (mathematics, statistics, computer science, or related fields)
  • Having a passion for problem solving using mathematics, statistics, machine learning, and artificial intelligence
  • Ability to quickly pick up new tools and technologies
  • Excellent oral and written communication skills
  • Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility
  • Experience in anomaly detection, supervised/unsupervised learning, time-series data, and natural language processing
  • Experience in entity resolution is a plus
  • Hands-on experience with python packages such as Gudhi, Prism, Ripser, Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
  • Excellent organization and interpersonal skills
  • Strong problem-solving skills, detail-oriented and ability to think creatively with data
  • Self-motivated and capable of working independently but with a collaborative nature
  • Proficient with data visualization and translating complex problems into actionable insights
Benefits
  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
  • 80 hours of Paid Sick and Safe Time
  • 25 days of vacation time and 5 personal days, pro-rated based on date of hire
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • deferred compensation for eligible roles
  • fitness reimbursement or on-site fitness facilities
  • eligibility for tuition reimbursement
  • many more

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningartificial intelligenceanomaly detectionsupervised learningunsupervised learningtime-series datanatural language processingdata visualizationproblem solvingquantitative analysis
Soft skills
communication skillsorganizational skillsinterpersonal skillsdetail-orientedcreative thinkingself-motivatedcollaborative naturepassion for problem solvingability to learn quicklystrong relationships
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