DATA SCIENTIST - SENIOR Loc: Chesterfield, MO Dur: 12 M+ Rate: Open

Job Description:

Dur: 12 M+

Rate: Open

Role: Senior Data Scientist- Predictive Modeling Scientist

Location: Chesterfield, Missouri

Job Description:

  • The contract data scientist will collaborate with colleagues on analyses to enable precision product placement.
  • He/she will collaborate with in-house statisticians/data scientists on many predictive modeling and statistical modeling projects, but is also required to work independently in methodology and analysis code development.
  • This position offers the opportunity to work in a state-of-the-art environment providing extensive opportunities for development of novel methodologies and for creative application of existing methods.
Responsibilities

  • Develop predictive modeling algorithm with feature engineering/selection/extraction over high-dimensional data
  • Provide analyses of field data including data management and data QC* Predictive/statistical model and algorithm development
  • Formal graduate degree in AnalyticsPhD degree or M.S.
  • With +3 years of working experience in Statistics, Mathematics, Computer Science/Engineering, or other quantitative disciplines;
  • Candidate with PhD in Statistics will lead to an interview immediately;
  • Familiar with the machine learning and statistical modelingGood understanding of the machine learning and statistical theoryProficiency with using machine learning/statistical methods;
  • Highly proficient in R with >3 years of programming experience in R
Required qualification/experience/skills:

  • PhD degree or M.S. with +3 years of working experience in Statistics, Mathematics, Computer Science/Engineering, or other quantitative disciplines
  • 3+ years\' experience in applied machine learning/statistical modeling
  • Highly proficient in R with ?3 years of programming experience in R
  • Good understanding of the machine learning/deep learning and statistical theory, feature engineering, feature selection, ensemble method, and other machine learning practice
  • Proficiency with using machine learning methods like random forests, logistic regression, support vector machines and neural networks, etc.
  • Strong problem solving and critical thinking skills
  • Strong teamwork skills and communication skills
Desired qualification/experience/skills:

  • Background and experience in computational statistics/data mining
  • Other desired stat techniques include statistical bootstrapping, simulation, etc.
  • Programming proficiency in Python or SAS is a plus


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