Data Scientist

Mindlance; Franklin Lakes (NJ); On-site; USD 70,000 - 100,000; Full time

Job summary

A national recruiting company is seeking candidates with a Bachelor's or Master's degree in quantitative disciplines, such as Computer Science or Mathematics. Candidates must possess strong skills in SQL, Java, and Python, and experience in data extraction using technologies like MapReduce. The role involves building machine learning models and presenting findings clearly. Excellent interpersonal skills are essential for collaboration within teams.

Qualifications

• Excellent ability to query large datasets using SQL queries.
• Proficient in programming languages such as Java and Python.
• Experience in data extraction and processing using MapReduce, Pig, and Hive.

Responsibilities

• Build and apply machine learning or predictive modeling.
• Communicate and present findings to both technical and non-technical audiences.
• Collaborate with teams to enhance project outcomes.

Skills

SQL

Java

Python

SAS

R

Machine Learning

Data Processing

Communication

Collaboration

Education

Bachelors or Master's in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines

Job description

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at http://www.mindlance.com.

Job Description

• Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines
• Excellent ability to query large datasets using SQL queries and working with databases
• Excellent in programming languages such as Java, Python, etc.
• Experience in data extraction and processing, using MapReduce, Pig, Hive, etc.
• Proficient programming skills using SAS and/or R
• Knowledge of building and applying machine learning or predictive modeling
• Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences
• Excellent interpersonal and collaboration skills

Additional Information

Thanks & Regards,
Praveen K. Paila
470-202-1117