Manager - Data Scientist

Job Description:

- This position is responsible for translating complex analytical concepts into actionable results for our clients. He/she will be involved in the development and execution of all data management functions and statistical analysis relating to client specific projects.

- He/she will also be directly responsible for preparing, analyzing and generating effective project results in an efficient and errorless manner using statistical, machine learning and optimization techniques, delivered on time and on budget.

Primary Responsibilities:

- Provide data/report support for complex data mining projects.

- Generate and execute required analytical programming with minimal supervision.

- Manage data audit steps to ensure data quality.

- Leverage R, Matlab, SPSS, Python, SQL & Excel to dig into data to extract meaning from information.

- Produce appropriate and effective project deliverables including: sample diagnostics, customer profiles, complex queries, data mining, model algorithms, gains charts, modelscore distributions, etc., with some supervision and zero defect.

- Demonstrate a strong understanding of project scope, data extraction methodology, design of dependent and profile variables, logic and design of data cleaning, exploratory data analysis and statistical methods.

- Produce timely and error-free deliverables in an efficient manner, managing multiple tasks and varying project scopes.

Requirements for position:

Education: BA, BS required; MS, PhD preferred

Preferred disciplines of study include Statistics, Engineering, Operations Research, Computer Science or Mathematics.

General Qualifications:

At least 5+ year experience in following work areas:

- Predictive Modeling & Data Mining

- Machine Learning

- Statistical Model Development

- Analytics

Related Knowledge Base:

- Ability to show value of analytics within business processes

- Strong R, Matlab, Python (NumPy, SciPy) or SPSS skills

- Regression (Linear, Logistic, Multinomial), Survival Modeling, Segmentation and Clustering, Decision Tree Analysis

- Machine Learning Algorithm, e.g. SVM, Neural Networks, HMM, Bayesian Belief Networks.

- Mathematical programming and optimization

- Ability to interpret analytical results

- Strong verbal and writing skills

- Big Data and High Performance Computing would be a plus