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1 week ago

Job Summary

The Data Scientist is responsible for developing data-driven solutions to solve difficult business challenges. He/ She works in collaboration with the Business Analyst and Data Engineer to identify and gather data to solve the same challenges.

  • Minimum Qualification:Degree
  • Experience Level:Mid level
  • Experience Length:2 years

Job Description/Requirements

Responsibilities:

  • Selecting features, building and optimizing models using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending the company’s data with third-party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with the latest technology trends
  • Communicate results and ideas to key decision-makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design 


Requirements:

  • Minimum academic qualification:  Bachelor’s degree in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field.
  • Number of years of experience:  2 – 5 years of experience in a similar role
  • Good SQL skills
  • Database Management
  • Programing skills
  • Knowledge of reporting and visualization tools
  • Intellectual curiosity to find new and unusual ways of how to solve data management issues.
  • Excellent pattern recognition and predictive modeling skills
  • Extensive background in data mining and statistical analysis
  • Innovative & Open Minded
  • Interpersonal skills
  • Collaborative skills
  • Communication (oral & written)
  • Coordination skills.


Key Performance Indicators:

  • Availability of insights for decision making
  • Development of forward-leaning models to support retail and other businesses
  • Accuracy of algorithms and machine learning models deployed
  • Improvement in business KPIs through the leverage of predictive analytics
  • Number of manual processes replaced by automation

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