Data Science Practice Lead Resume New York - Hire IT People

SUMMARY:

An experienced data scientist, machine learning specialist with expertise in deep learners and machine learners, text mining, statistical learners, econometrics and natural language processing methodologies.
A demonstrated history of applying data science and machine learning in media, marketing, insurance and finance domains. An articulate communicator capable of translating complex methods and results to various audiences.

PROFESSIONAL EXPERIENCE:

Data Science Practice Lead

Confidential, New York

Responsibilities:

Utilizing Deep Learners (Tensor Flow) and various Machine Learning Algorithms (Python Scikit - Learn, Numpy, Pandas,...) to develop personalized promotional incentive offers deployed in a mixed production environment (AWS Hadoop Spark Environment and company data centers)
Developed and implemented real time advanced (Multivariate and A|B) testing and optimization
Cross functional sales support and client facing efforts

Senior Data Scientist (Contractor)

Confidential, Boca Raton, Florida

Responsibilities:

Utilized machine learners to create a suite of subscriber attrition, LTV and conversion models
Created probabilistic clusters to support various targeted marketing efforts
Constructed various cross-channel subscriber reactivation and renewal experiments

Data Scientist/Data Analytics Consultant

Confidential, Boca Raton, Florida

Responsibilities:

Utilized Generalized Linear Mixed Models (GLMM) to construct probability based clusters for rare claim events
Utilized various Bayesian methods to help construct a data anomaly detection algorithm

Chief Data Scientist

Confidential, Bridgewater, New Jersey

Responsibilities:

Head of Computational Models

Confidential, New York

Responsibilities:

Led a team of Statisticians, Algorithm Engineers and Machine Learning specialists that used advanced econometric time series, Bayesian, machine learning and agent based modeling techniques to build and execute products which optimize paid, owned and earned media investments
As part of the Aegis Media family these solutions have been used by Carat Media, Proctor and Gamble and Disney and have played key roles in closing approximately $800,000,000 in media billings
Led a team that analytically supported General Motors media buying activities including drive to site, dealership visits and vehicle sales planning for above the line and digital media channels

Lead Analyst

Confidential, Brooklyn, New York

Responsibilities:

Utilized R to develop an automated data mining system that correctly identifies marketing drivers
Utilized advanced econometric time series techniques (dynamic regression, VAR, VECM and Structural Models,…) to measure and optimize Confidential ’s media investments
Developed a statistical, attitudinal segmentation schema that leveraged internal and external sources to enhance audience identification for brand and energy efficiency campaigns

Director of Strategic Analytics

Confidential, Warren, New Jersey

Responsibilities:

Utilized advanced econometric time series techniques (dynamic regression, VAR, VECM and Structural Models,…) to estimate market share impacts of price and advertising marketing dynamics
Conducted a deep dive LTV analysis which identified profitable growth segments and guided retention, acquisition and marketing strategy
Statistically segmented the customer transaction database to identify retail marketing opportunities.
Utilized Econometric time series methods to estimate the impacts of price and advertising dynamics on market share and incremental revenues

Director of Statistical Analysis

Confidential, New York, NY

Responsibilities:

Utilized advanced econometric time series techniques to measure and optimize agency clients media investments
Created statistical optimization algorithms that identify fatigued and misplaced banner ads.
A/B and multivariate screening tests for banner advertising and media placements
Responsible for the design, construction and deployment of key reports and reporting dashboards.
Developed survival and profitability models for an online grocer which identified and scored an online grocer’s customer attrition patterns