Data Scientist

**Job Purpose**:
Led by a Senior Data Scientist, the Data Scientist is accountable for understanding business problems to solve, performing data analysis, and providing quantitative solutions. This includes understanding and capturing business needs and requirements, formulating and prototyping prediction and optimization models, verifying the implementation of mathematical procedures, communicating the results efficiently to both technical and non-technical audience, maintaining and improving backend models of existing products, supporting both internal and external customers with business and/or technical questions. The Data Scientist is expected to maintain a high level of professionalism, communicate clearly, and demonstrate a customer-focused attitude and approach to problem solving.

**Responsibilities**:
Development
- Work with customers (existing and potential) to understand business processes, problems and needs.
- Work with the business team to capture business requirements and recommend solutions.
- Collect and organize data from diverse sources.
- Perform extensive data analysis to identify and estimate statistical patterns.
- Formulate and prototype segmentation/clustering, prediction and optimization models.
- Communicate the findings, models and results to the science team, business team and/or customers.
- Explain math designs to the product team and QA team.
- Help the QA team to verify the results of new math codes.
- Improve the existing math procedures.

Research
- Learn new math methodology and algorithms by studying technical articles, books, papers and blogs.
- Research and propose innovative math models.
- Publish technical articles and blogs.

Support
- Maintain the mathematical procedures of existing systems.
- Provide support for the implementation team to setup new math components.
- Provide support for the support team to answer the 3rd level pricing questions.
- Provide support for the sales team to explain the existing systems.

**Job Requirements**:

- Graduate / master’s degree in one of the following quantitative disciplines: Statistics, Operations Research, Applied Mathematics or related fields.
- Minimum of 2 years hands-on experience in performing data analysis including manipulating large and diverse data, cleaning data, and estimating statistical models.
- Strong knowledge of data mining and machine learning techniques such as decision tree (CHAID/CART), clustering, segmentation, association rules, etc.
- Familiar with statistical models such as generalized linear regression, discrete choice model, etc.
- Must be able to build forecasting models with time series methods (e.g., exponential smoothing and ARIMA, etc.).
- Familiar with unconstrained and constrained optimization modeling using CPLEX, etc.
- Hands-on experience using three or more languages like SQL/EXCEL, S-plus/R, SPSS/SAS, Python, C++/C#, etc.
- Experience in modeling and implementing Pricing and Revenue Management systems is highly desirable.
- Excellent communication skills, both written and verbal.
- Proven ability to work well in a team environment and under pressure.

**EEO Statement**

Cendyn provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Cendyn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Cendyn expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Cendyn’s employees to perform their job duties may result in discipline up to and including discharge.

**Other Duties**

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.