Job Description :
Job Title : Data Scientist/ Machine Learning
Location : Basking Ridge, NJ
Deliverables
Creating and generating Machine Learning Models using application of principles, theories, concepts and technologies to optimize B2B prospect campaign.
Embedding propensity scores on marketing leads for OTM, EM or D2D Campaigns.
Work continuously with the Marketing, Sales and IT teams to fine tune the models and bring in changes real-time
Managing policies and procedures in support of strategic objectives by maintaining an up-to-date documentation and a repository of Machine Learning models
Forming initiatives to create data pipelines for real time feeds to enhance models and explore new sources of data such as GPS, web search and historical sales data to enhance the models
Communicating to leadership on active data science findings, efforts, actions and results
Translating business requirements and working with IT to build datasets required for analysis
Defining and driving the analytics strategy and modeling approaches
You are a master at analyzing big data. You thrive in an environment where enormous volumes of data are generated at rapid speed. You re a creative thinker who likes to explore, and uncover the issues. You are decisive. You are great at influencing up, down, and across groups, and you take satisfaction in mentoring others. Communicating what you ve uncovered in a way that can be easily understood by others is one of your strengths.
You need to have:
Bachelor s Degree in Mathematics or Business
Nine or more years of relevant work experience.
Experience with visual science / dashboard design principles.
Knowledge of database concepts (Oracle, MS SQL, generic SQL, etc)
Experience with Python and R using open source libraries
Knowledge of Distributed data systems (Hadoop/Hive/PySpark)
Willingness to travel
Even better if you have:
Degree in mathematics, statistics, physics, engineering, computer science, or economics.
Experience in applying statistical ideas and methods to data sets to answer business problems.
Experience tackling loosely defined problems.
Experience explaining complex topics in simple terms.
Experience with Tableau or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
Strong understanding of data warehouse and data lake technology (Teradata, Hadoop)
Good understanding of third party analytic tools.
Experience analyzing retention, loyalty and revenue for subscription based services.
Experience with general purpose programming languages (Java, .Net, Python, Perl, etc
PRINCIPAL-PRED/PRES ANLYTCS Job Description
Specific Job Duty
Time spent on each duty
Required Software/Engineering Training
Required Software/Engineering Coursework
Build Machine Learning Models using application of principles, theories, concepts and technologies to optimize B2B prospect campaign. Primary tools used for this effort will be Python for Modeling and SQL/Hive/Hadoops for the data pull.
20%
Python 3.7, SK-Learn, Machine Learning, SQL, Hadoop, Hive
15.S03 Probability, 15.S04 Statistics, 6.884 Advanced topics in Artificial intelligence,Computer programming,Data Structure & Programming
Embed propensity scores to marketing leads for OTM, EM or D2D Campaigns.Develop smart campaigns to automate list generation including the development of macros, process, and propensities that will be used over most marketing lists to standardize list generation and outbound communications.
20%
Python, SQL, Tableau
Information Systems for Management, Predictive Analytics using Python
Provide recommendations to align solutions to strategy. He will optimize and build on the current algorithm that will determine prospects in the business to business world. This algorithm will be part of the 2020 plan to expand organizational reach through the footprint. This job requires extensive knowledge of statistics and programming.
10%
Python 3.7, SQL, Tableau
Predictive Analytics using Python,
Data Analytics, Introduction to Business Analytics
Working continuously with the Marketing, Sales and IT teams to fine tune the models and bring in changes real-time. Manage policies and procedures in support of strategic objectives by maintaining an up-to-date documentation and a repository of Machine Learning models. Introduce parallel processing technology for evaluating and deploying new technologies to in-house and model data. Using own initiative and technique to create data pipelines for real time feeds to enhance models and explore new sources of data such as GPS, web search and historical sales data to enhance the models.
20%
PySpark, DataRobot,
Python, SK-Learn, Machine Learning, SQL
15.066 System Optimization & Analysis, 6.884 Advanced topics in Artificial intelligence,
Computer programming,
Data Structure & Programming
Communication to leadership on active data science findings, efforts, actions and results.
20%
Tableau, PowerPoint
15.010 Communications for Leaders, 15.761 Intro Operations management,
15.769 Operations Strategy
Managing 3rd party data providers, and working with sales and IT to consolidate data into one system for future use. Also, working on the future state of DBM by consolidating the data from different groups (SMB,VES SLED, Fiber Store, etc) into one unified process.
10%
SQL, Hive, Hadoop, Teradata and Postgres
Computer Programing, Data Structure & Programming
TOTAL
100%

Minimum Required (no preferences) Education & Experience/Training.:
Minimum Level of Degree: MBA or master in Electrical Engineering or Computer Science
Required fields of study: Electrical Engineering or Computer Science
Required # of years of experience: 9 years