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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Data Science Developer

  • Location:

    Seattle,WA

  • Duration:

    12 Months

  • Domain Exposure:

    Healthcare, Telecom, Education, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099(C2C)




Job Description


Technical Responsibilities:

  • Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis
  • Apply appropriate data reduction, feature selection, and feature engineering techniques
  • Develop and implement hypothesis tests
  • Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models; including implementation on large scale systems
  • Review, make enhancements to, and execute operationalized algorithms and models
  • Develop data products to communicate insights to business stakeholders
  • Collaborate with data & technology teams to create repeatable processes and scalable data products.

 

 Requirements:

  • Minimum of 5-8 years proven business experience and technical expertise in data science
  • Experience cleansing and preparing large, complex datasets for analysis
  • Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets
  • Experience with hypothesis testing, clustering, regression & classification, time series analysis, & optimization
  • Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)
  • Professional-level expertise in developing, validating, and executing algorithms and models on large scale systems
  • Experience with SQL
  • Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
  • Familiarity with data visualization applications, like Tableau or RShiny
  • Self-starter with strong analytical, critical thinking, and problem solving skills
  • Excellent communication skills -- ability to present complex information in a concise and compelling manner
  • Previous management of data science project execution and data scientists
  • Prior media or direct-to-consumer industry experience preferred

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract