Job Description

Position Summary

Responsible for modeling complex business problems and discovering insights through the use of statistical, algorithmic, mining and visualization techniques. Expert in developing machine learning algorithms and deploying them into production. Communicates results clearly and concisely to provide insight to multiple audiences; provides strategic direction to management.


Essential Responsibilities

Data Wrangling/Exploration: Follow consistent practices to ensure data integrity and deal with imperfections in data. Champion the acquisition of new data sources to enhance value/ fill gaps; automate collection processes. Effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets. Collaborate with business stakeholders to ensure solid data understanding and proper data transformation; work cross-functionally with development/engineering teams. Analyze large amounts of data, draw conclusions and gain actionable insights.
Machine Learning: Build predictive models and propose solutions and strategies for business problems; apply the appropriate machine learning algorithm to data problems; validate model results. Work closely with architecture and engineering team. Communicate results in a clear, non-technical manner. Stay up-to-date on new tools and techniques.
Communication & Relationships: Interact with senior management levels and effectively communicate technical information. Develop relationships with individuals in related functions. Deliver difficult messages and express disagreement with others. Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques. Gain support from related stakeholders for analytic solutions and champion data driven business decisions.
Statistics: Apply appropriate statistical techniques to data exploration and model development and assessment; lead others to apply statistical rigor to analytic processes and projects. Communicate complex statistical concepts to non-technical audiences. Maintain skills through continuing education.
Data Visualization: Create meaningful data visualizations to communicate results and highlight business impact. Utilize various techniques and delivery methods of visualization that are audience appropriate.
Programming: Deliver efficient and high quality code; implement solid validation process to ensure consistency and minimize errors; champion more efficient ways to produce code iteratively. Maintain skills through continuing education and stay up-to-date on new technologies and tools.

Minimum Requirements

Bachelor’s degree in IT or math related field and 10 years of experience in an analytics/data science related field. Masters or PhD preferred.
Strong problem solving skills, business acumen, and demonstrated excellent oral and written communication skills.
Expert SQL, Python skills.
Experience productionizing machine learning models.
Excellent data visualization skills.
Expert in machine learning and statistical modeling, text mining, topic modeling, Deep Learning, Neural Networks and corresponding technologies.
Comfortable with Agile.
Experience in developing models to drive insights.
Proven experience in leading data analytics project teams and providing/supporting solution implementation.