Senior Manager, Advanced Analytics, Listening Data
TSR Consulting Services, Inc.
New York City , NY 10019
Posted 4 months ago
Senior Manager, Advanced Analytics,
We are looking for a candidate to join our analytics, research & insight team as a Senior Manager of Advanced Analytics Listening Data. For this full-time officer of analytics position, we are seeking a person with strong project management, programming, data management and statistical skills.
In this role, you will lead data integration and analytic projects pertaining to all sources of listening/consumption data including in-vehicle and out-of-vehicles behavior that will drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, statisticians and Big Data engineers and serve as a key driver in delivering the next generation of advanced analytic solutions to the business.
Duties and Responsibilities:
Serve as a subject matter expert on all sources of listening/consumption data.Responsibilities:
Data QC & Project Management, Analytic Insights & Advanced Analytics.
Lead the marketing recommendation engine project across the company.
Responsible for the management of KPI's and overall governance of listening data.
Responsible for listening data business requirements including determining scope of work, prioritization and establishing consistency across data from OEMs.
Work closely with our IT/BI partners on the ingestion process of raw listening data from external sources.
This encompasses the full data onboarding journey from hygiene, to data transformation, data aggregation and augmenting the data for the end user consumption.
Partner with key lines of business on listening data driven analyses, models and insights.
Engage with key business stakeholders in discussions on business strategies and opportunities.Minimum Qualifications:
Master's degree in computer science, statistics, operations research, engineering, mathematics, economics, physics, or a related quantitative field or equivalent, relevant position.
3-5 years of relevant experience.
Knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning, understanding of underlying algorithms.
Ability to tune and analyze algorithms and extract actionable insights. These methods include (but are not limited to) regression analysis, clustering, outlier detection, decision trees, collaborative filtering, nearest neighbors and ensemble methods.
Refer to Job Description
1 year +