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Job Description

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Job Description - DATA SCIENTIST FOR RECRUITMENT & STAFFING

Description

Job Description – Data Scientist For Recruitment & Staffing
Experience – 1 to 4 years
Location – India
Package – As Per industry norms
Onboarding Timeline: Immediate Joiner
 

Summary

• The most effective data scientist job descriptions begin with a few sentences introducing prospective applicants to your company, corporate culture, and working environment. Is your company working on cutting edge data science projects or just trying to get a better read on potential customers? Are you a scrappy startup or an established brand? This is where you’ll differentiate your workplace from the competition.

Responsibilities

• Formulates and leads guided, multifaceted analytic studies against large volumes of data.
• Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Leads all data experiments tasked by the Data Science Team.
• Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
• Develops methodology and processes for prioritization and scheduling of projects.
• Analyzes problems and determines root causes.
• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
 

Qualifications / Skills

• Advanced analytical knowledge of data.
• Conducting big data analysis.
• Data conditioning.
• Programming advanced computing.
• Developing algorithms.
• Developing software and data models.
• Executing predictive analytics.
 

Education, Experience, and Licensing Requirements

• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• 5-7 years of professional experience.
• Proficient with one or more programming languages (Java, C++, Python, R, etc.).
• Demonstrated experience applying data science methods to real-world data problems.
• Experience utilizing visualization tools to take advantage of the growing volume of available information.

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