- Applies knowledge of statistics, data mining, and machine learning (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data.

- Designs, develops, and evaluates statistical and predictive models that lead to business solutions.

- Communicate findings and recommendations to management across different departments.

- Supports implementation efforts.

Education/Experience :

- Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development.

- Masters degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 2+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development.

- PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 1+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development.

Required Skills/Competencies :

- Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS).

- Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly.

- Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels).

- Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability.

- Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions.

- Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners.

- Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects.

Essential Responsibilities :

Statistical Analysis & Model Development :

- Works with business partners to identify and scope new opportunities for machine learning applications for process improvement.

- Works internally and with IT and Enterprise Data Management to define, secure and prepare datasets for statistical modeling.

- Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs.

- Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development.

- Builds programs for running statistical tests on data and for understanding correlation of various attributes.

- Builds hypotheses, identifies research data attributes and determines best approach to address business issues.

- Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives.

- Builds predictive models (e.g., logistic regression, generalized linear models, autoencoders) as appropriate to support business partner objectives.

- Incorporates findings and provides insights as part of model development and enhancement.

- Prepares testing scenarios and tests model performance.

Model Consultation, Implementation, & Communication :

- Works on analytics projects or components related to business initiatives.

- Prepare recommendations and findings for business partners.

- Works with research and analytics staff and other areas of the business on model application and implementation.

- Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions.

- Works closely with business stakeholders to identify and answer critical questions.

Industry Research :

- Research and maintains awareness of industry best practices and business strategies.

- Proactively brings in new and innovative ideas and approaches to develop business solutions.

Reporting Relationships :

- This position will report to the ManagerAnalytics.

- This position will not have direct reports.

Travel :

- Domestic and International travel as required.