Senior Data Scientist

3+ years of data science, advanced applied statistics, analyzing large scale data and distributed algorithm, k-nn, naive bayes, svm, decision forests, r/python
Contract W2, 9 Months
$85 - $90
Work from home available Travel not required

Job Description

All candidates must be US Citizens; no 3rd party candidates please.

Location Preference - Washington DC metro region or Houston, TX

Work Location: Fairfax, Virginia 22031-4634

  • The Fairfax address is the correct location for DC. Remote is possible for the DC area for the right candidate. Any travel to the office would not be at own expense.
  • If in Houston, there are other contractors in the Houston area that meet to go over work and check code. Woodlands, TX is the area

Position Summary:

Client is looking for a seasoned Sr. Data Scientist to leverage existing data to develop & execute predictive models and advanced analytics to help solve complex business problems. The Sr. Data Scientist will use advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. This person will also apply predictive analytics, machine learning, and optimization techniques to generate management insights and optimize business functions.

We are seeking candidates with a depth of knowledge in statistics, as well as hands-on experience building a range of predictive models using artificial intelligence and machine learning.

Responsibilities:
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.

Qualifications
Ideally PhD with at least 3+ years of data science expertise or Postgraduate Degree with more experience
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 similar)
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 problems.
Past experience in analyzing large scale data and distributed algorithms
Excellent analytical, communication (both verbal and written), interpersonal, and organizational skills.
Must be able to communicate effectively and clearly present technical approaches and findings.

Educational Requirements:  Minimum of Master's degree.

 

Posted By

Donna Lott

Dice Id : vitalt
Position Id : 58128
Originally Posted : 2 months ago
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