White Plains, NY 10601
Location: White Plains, NY
Salary:$100,000 - $120,000
Contact: Paul Chatlos, [email protected]
Data Scientist Position Summary:
Deliver and lead business insights and recommendations that will become business strategies and improve business by +5% YOY in Direct to Consumer FY Sales, +3% in policies while maintaining cost efficiency. The data scientist will achieve this goal by using statistical analysis, modelling techniques that increase response and profitability for existing customer and improve targeting for prospects. Data Scientist will also lead in portfolio management of the multi-million marketing budget by swapping media opportunities within products and channels.
Data Scientist Responsibilities:
-Support delivery of DTC policies, profit margin and premium by providing insights from data analyses and data quality control.
-Connect the data pipelines to ensure data flows to greater insights and un-interrupted channel campaign management. Accountable for business results from key insights and analytical findings.
-Be a key contributor to the California Consumer Privacy Act and Data Lake Projects and assist in the enterprise wide data- driven transformation.
-Lead in our data transformation, leveraging big data and innovative technology such as machine learning and A.I. to achieve goals above
-Identify growth opportunities through data (ROI evaluation, LTV, allowables and other analyses) to significantly improve business performance across channels, programs and purchasing modes.
-Under minimal supervision, ascertain and execute plans to build, implement and maintain predictive models (Stepwise regression, Markov Chain, Time series forecasting, Multiple and logistic regression models, etc.) using available tools and programming languages. Monitor and provide feedback on model performance and recalibrate model as necessary.
-Perform analysis to identify areas of improvement for conversion rate, lapse rate, margin, user experience, media mix, cross sell and upsell. Lead recommendation implementation and adoption across areas.
-Independently gather requirements from appropriate business partners for project, including necessary data for analysis to be performed. Develop project plans, execute on deliverables within agreed upon timeframes, manage deadlines, communicate progress and make recommendations to address issues
-Translate analytical findings and statistical models into measures of business impact and actionable recommendations for the marketing team
-Work with actuaries on pricing model and assumptions
-Lead in enterprise-wide data mapping and transformation: include all collected data fields and connections in Marketing, Contact Center, Lead Management, and Policy Administration systems; understand how each data field is related to the business or how it is used to generate insights. Document and flow-chart GLIC's data infrastructures. Phase out data connection needs by business urgency.
-Work with IT and external agencies and streamline established data warehouses, initiate new development of databases or data lake, production data, and available tools to build strategic datasets in support of key initiatives.
-Lead and build a systematic processes to assess and validate data accuracy and data output
-Code, clean and manipulate data in Google Big Query using R, Python and/or SQL
-Code, clean and manipulate data in proprietary datamarts using SAS and/or SQL
-Lead in work with Google or other similar data giants on data innovations such as machine learning and artificial intelligence to improve data collection, categorization, contextualization and utilization
-Lead the marketing team as the data SME to
-Set up test hypothesis
-Provide guidelines for test set up
-Support the analysis of test results
-Educate team on how to evaluate data and arrive at an actionable recommendation
-Socialize identified data insights and business recommendations to both