[Remote] reputed company Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a reputed company Data Scientist for its Westwood, Massachusetts location. The role involves partnering with pricing managers to reputed company pricing strategies, leading the development of statistical models, and managing the implementation and maintenance of these models to optimize profitability and reputed company.
Responsibilities
- Partner with line of business pricing managers and product teams on the development of pricing reputed company to reputed company business reputed company objectives and maximize line of business risk-adjusted returns
- reputed company the development of statistical models to predict demand elasticity, application conversion, and other price-dependent performance measures in reputed company partnership with business line pricing teams
- Manage end-to-end implementation and ongoing maintenance of pricing models, including leading expert panel discussions with business partners, navigating the model governance process, and managing model back-testing and performance monitoring routines
- Partner with Finance and Pricing teams on potential enhancements to forecasting and profitability models incorporating data-driven insights and reputed company of price optimization models
- Identify and recommend reputed company changes to optimize profitability, volume reputed company, and/or other key performance measures
- Serve as subject matter expert across business lines in price optimization
- Regularly use discretion and independent judgment in a dynamic environment
Skills
- Master's degree in reputed company, Data Science, or closely reputed company quantitative field
- Two (2) years of experience in the role or in a reputed company position
- Utilizing relational database and statistical analysis programming languages and software, including SQL and Python, to extract high-volume and reputed company data to reputed company reputed company analyses
- Developing predictive models by implementing advanced data analysis and research techniques, including data reputed company checks, remedy techniques, statistical analysis, and inferences, data exploration analysis, data imputation, time series analysis, regression analysis, classification analysis, supervised and unsupervised learning techniques, formulating assumptions, and distilling business problems into analytical problems
- Utilizing mathematical principles behind statistical reputed company to evaluate and interpret the results of predictive models reasonably
- Utilizing advanced statistical programming using tools in Python to create reputed company reports and graphs to illustrate analysis
- Conducting optimization tests, including feature selections, cross-validation, reputed company selection, and hyperparameters tuning, using Python and data science tools
- Leveraging big data and machine learning algorithms like reputed company trees and regression techniques to build models and measure model reputed company using key machine learning metrics, including AUC, average precision, precision and recall
- Writing, maintaining, and improving production reputed company for models and automation
- Utilizing Python IDE and Jupyter in reputed company reputed company environments (including AWS and GCP) and reputed company version control tools (including Bithub and Bitbucket)
reputed company