Data Scientist – Predicti...

dlynxllc Diverse Lynx LLC

Job Description
Description :

  • Experience in machine learning based predictive modeling projects
  • Define project objectives and scope to deliver the projects satisfactorily
  • Deliver projects within budget and time
  • Leverage internal horizontal teams to enhance delivery such as Automation teams, Transition, Quality
  • Network internally across regions to discover and implement best practices
  • Should have hands on experience with machine learning models like Gradient Boosting, Collaborative filtering, Bayesian Methods, Random Forest, SVM, Markov Models etc.
  • Able to understand and translate business and product questions into analytics projects
  • Should have a mix of technical, development, and program management skills
  • Strong business acumen
  • Expert in querying and analyzing big data using Hive, Python, SQL, Scope and/or C#
  • Experience working with unstructured big data (Hadoop and/or Cosmos)
  • Experts in advanced Excel functions (e.g., creating formulas, pivot tables) and PowerBI
  • Prior knowledge of data modeling and processing techniques for big data systems
  • Solid understanding of BI and data solutions, including Power-pivots, cubes, and datamarts.
  • Self-motivated, agile and driven to think out-of-the-box
  • Ability to influence diverse audiences and build strong partnerships with stakeholders
  • Ability to articulate vision, requirements, and benefits to business and engineering partners

Qualifications
Qualification:

  • BE/B.Tech/MCA/M. Tech. /MSc/Ph.D. in Computer Science, Engineering Disciplines, Mathematics, Statistics with computer programming skills, Algorithm design. (Masters/PhD preferred)
  • Hands on expertise in predictive analytics & model building.

Additional Information

Experience:

  • At least 5+ years of hands-on experience in the Machine Learning, Predictive modelling, Data Mining techniques and methodologies, algorithm design etc.
  • Hands-on experience in:
  • R/Python, SAS, SPSS
  • Machine learning models like Gradient Boosting, Collaborative filtering, Bayesian Methods, Random Forest, SVM, Markov Models etc.
  • Predictive model building (desired area – Sales & Marketing)
  • Experience in using MS stack/Open Source Applications

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