Data Scientist

Information Technology (IT) | Pune, India

 

We are looking for Data Scientist to join a growing client in Pune, India.

 

Requirements 

  • 8-12 years of overall experience in IT industry.
  • Phd/MTech/MS or equivalent degree in Computer Science or Mathematics or Statistics.
  • Years of Experience as Data Scientist - 5-12 yrs of experience with machine learning techniques & algorithmic optimization Techniques, Problem Solving & complexity analysis.
  • Strong knowledge of data mining, machine learning techniques, algorithmic optimization Techniques and statistics.
 

Responsibilities 

  • The data scientist is responsible for solving complex big-data problems in online advertising space using data mining, machine learning, statistical analysis and computational economics.
  • An ideal candidate should strong depth and breadth knowledge in machine learning, data mining and statistics.·        
  • The candidate should have reasonable programming and design skills to manipulate unstructured and big data, build prototype that work on massive datasets or even components that work within production systems.·        
  • The candidate should be able to apply business knowledge to do broad data analysis as a precursor to modeling and to provide valuable business intelligence·        
  • Experience with big data·        
  • Strong problem solving, programming skills and computer science fundamentals.

 

 

Skills and Experience

  • Knowledge of Hadoop and other distributed computing platform.·       
  • Experience with tools like Weka, R and other machine learning packages·        
  • Experience in coming up with a long-term vision and defining standards.·       
  • Passionate and committed with strong sense of ownership and craftsmanship.·      
  • Strong communication skills (interpersonal, written, and verbal).·        
  • Must Have good stability.

 

About Talent Anywhere 

 

Talent Anywhere provides companies with comprehensive solutions to develop a global workforce. Our award winning model has been the most proven method for establishing and growing teams and offices in new locations. Since 2006, we have helped over 80 international companies deploy teams with over 2,000 employees globally.

 





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