Python Data Scientist

Informica Solutions

Hyderabad, Telangana
Permanent
Full-time

13 days ago

Company OverviewAn organization, fresh out of the box and promoted by experts who believe and had been practicing data driven businesses. Informica Solutions is committed to fill the void beyond resumes and requisitions. With over 15 years of management experience spread across corporate world and the actual battle field, we at Informica Solutions are here to change the game. We will help you DISCOVER the BEST TALENTS in the most scientific manner and the SUCCESS FACTORS to increase productivity in minimum time which is usually overlooked by most of the businesses. We are currently collaborating with industry experts to "Build a Product" to simplify talent tracking and hiring data and convert it into a super valuable information and share with customers. We work with selected businesses (IT & Non IT) to Head Hunt Talents based on extensive scientific research using descriptive statistics, cross tabulation, regression, predictive analytics & Leading indicators (To be patented with Intellectual Property of India). Our team closely works with the businesses to Head Hunt Talents based on extensive scientific research (To be patented with Intellectual Property of India). Our approach is to partner with you to cater not only your recruitment needs, but also to assist you with your HR Processes and redesign the entire Human Capital Landscape. One of our biggest asset is PREDICTIVE HIRING wherein we help organizations use predictive analytics for talent acquisition using data and assessment science to project candidates future success based on patterns among current employees.Job OverviewPython Data Scientist role with 4 to 6 years of experience, located in Hyderabad and Bangalore, offered as Full-Time or Contract position at Informica Solutions.Qualifications and Skills

Data Analysis
data scientist
python developer
Python (Programming Language)
Machine Learning

Roles and Responsibilities

Utilize Python programming language to analyze and interpret complex datasets
Apply data science techniques to extract insights and drive decision-making processes
Collaborate with cross-functional teams to develop machine learning models
Conduct statistical analysis and create visualizations to present findings
Utilize machine learning algorithms for predictive modeling and pattern recognition

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