Lead Data Scientist – Warren ,NJ or Dallas, TX Long Term

  • Freelance
  • Remote

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Urgent Need,



Lead Data Scientist  .  

Warren, NJ or Dallas, TX

Long Term


No of
Years’ experience : 10 to 15yrs.


Data Scientist – Job description

As part of the Innovation team for one of our large
non-profit clients, we are looking to augment our data sciences team , with an
experienced Data Scientist. This is someone who use existing datasets to train,
test & execute predictive models and use advanced analytics to help solve
medium complexity business problems. The data scientist is expected to use
advanced techniques that integrate traditional and non-traditional datasets to
build analytical solutions. This data scientist will apply tools and techniques
in predictive analytics, machine learning, and optimization techniques to
generate insights, discover patterns and help optimize business processes

Mandatory skills :

  • Strong expertise in ‘R†  – at least 3 years
  • Solid knowledge in statistics
  • Hands-on experience building predictive models using machine
    learning and AI.  



  • Utilize
    advanced statistical techniques to create high performing predictive
    models and creative analyses to address business objectives and client
    needs. Tests new statistical analysis methods, software and data sources
    for continual improvement of quantitative solutions.
  • Work
    with Business SMEs to create models which predict the outcome of key
    business processes
  • Lead
    and contribute to data analysis and modeling projects from project or
    prototype design
  • Gathering
    and analyzing data, identifying key prediction/classification problems,
    devising solutions and building prototypes.
  • Follow
    industry trends in related data analytics processes and businesses.
  • Develop
    high-performance algorithms for predictive analytics. Testing and
    implementing these algorithms in scalable, product-ready code.


  • Post graduate or PhD with at least 2+ years of data science
  • Advanced applied statistics skills, such as distributions,
    statistical testing, regression, etc.
  • Excellent
    understanding of machine learning techniques and algorithms, such as k-NN,
    Naive Bayes, SVM, Decision Forests, etc.
  • Strong
    algorithmic problem solving and software development skills (R, Python, or
  • Demonstrated capability to develop proof-of-concept prototypes for
    experimenting with novel algorithms
  • Demonstrated experience and accomplishments in the use of data
    mining, machine learning, and predictive analytics to address real-life
  • Past experience in analyzing large scale data and distributed
  • Excellent
    analytical, communication (both verbal and written), interpersonal, and
    organizational skills.
  • Must
    be able to communicate effectively and clearly present technical approaches
    and findings.


Shaik Wajid

Sr US IT recruiter

EZEN Computer services inc  / Oracle Cloud

a: 5 Independence Way, Ste 305 | Princeton NJ


w: www.e-zencomp.com  | e: r3@e-zencomp.com


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