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