.NET Developer - I

Overview

On Site
Full Time

Skills

.NET
Business Intelligence
Optimization
Project Management
Dashboard
Data Warehouse
Data Lake
Teradata
Analytical Skill
SQL
Python
PySpark
Apache Hadoop
Apache Hive
Tableau
Business-to-business
OTM
Management
Policies and Procedures
Documentation
Machine Learning (ML)
Real-time
Global Positioning System
Sales
Leadership
Data Science
Modeling
Analytics
Decision-making
Privacy
Marketing

Job Details

Location: Bridgewater, NJ
Description:
Business Intel (Data Scientist)

MUST HAVE SKILLS (Most Important):

SQL Must Have Python Must Have PySpark/Hadoop/Hive - Preferable Tableau

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 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.

DESIRED SKILLS:

SQL Must Have Python Must Have PySpark/Hadoop/Hive

Preferable Tableau

JOB DUTIES:

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.

Driving the adoption of analytics in decision making

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Contact:

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