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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Engineer / Data Scientist

  • Location:

    New York,NY

  • Duration:

    9 Months

  • Domain Exposure:

    Retail, Government, 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 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

The Data Science & Analytics group at Penguin Random House is seeking a Machine Learning Engineer or a Data Scientist.

We are an agile team of data scientists and software engineers with a wide mandate encompassing pricing systems, recommendation and personalization systems, title segmentation, supply chain, as well as data exploration and research applying novel statistical methods.

In this role, you will have an opportunity to work on a variety of high-profile projects under the mentorship of Senior Data Scientists and in collaboration with key decision makers across the organization.

Your profile:

  • A bachelor’s degree in mathematics, statistics, economics, computer science, business analytics, or any quantitative social science
  • Relevant coursework applying advanced statistical/machine learning and predictive analysis techniques
  • 2 years of professional experience in a data science role
  • Intuition for mapping real world problems to relevant analytical methods, models, approaches
  • Expertise in writing and maintaining stable production level code in Python (e.g., for automating data pipeline/modeling tasks)
  • Solid capability in SQL for tasks such as computing aggregates and joining multiple tables
  • A strong, documented desire to rapidly and continually advance skills through on-the-job and off-the-job training (e.g. via MOOCs)

Distinguishing Experience:

  • Experience working with Python packages such as scikit-learn, statsmodels, pandas, or TensorFlow
  • Alternatively, a good understanding of R packages such as ggplot2, rCharts, ri, dplyr, data.table, cvTools, (b)lmer, arm, lasso/glmnet, BayesTree and reshape2/tidyr
  • Experience with Stan or other general-purpose modeling tools
  • Experience working with cloud-based computing platforms (e.g. AWS, Google Cloud Platform)
  • Experience extracting data from and building/maintaining APIs
  • Experience with UX design and data visualization
  • Experience building data products from the warehouse ingestion phase all the way through to the business-facing application side
  • Experience with automated feature engineering and large datasets (>1TB)

Apply Now
Equal Opportunity Employer

QUANTUM 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. QUANTUM 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 QUANTUM 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