Your Responsibilities
  • Building python script for transforming raw data into an analyzable state for further Explorator Data Analysis (EDA).
  • Writing SQL queries for preparing the data.
  • Creating analyses that tell a story focused on actionable insights, not just data.
  • Creating meaningful data visualizations and dashboards.
  • Building different functions for data preprocessing such as outlier detection, feature engineering, feature encoding, feature selection, data partitioning etc.
  • Building statistical and machine learning models for predictive analytics.
  • Developing pipeline for data acquisition, cleaning, preprocessing, model training, deployment, and re-deployment.
  • Building REST API for model deployment (using Flask/fastAPI).
  • Collaborating closely with team and present own observations to take appropriate strategic decisions.
  • Working on cloud platform. (AWS/GCP).
  • Maintaining Git
KSAOs That You Will Require To Succeed In This Role
  • Expert knowledge of a scientific computing language (such as R or Python) and SQL
  • Strong knowledge of statistics, machine learning and optimization
  • Experience working with Geospatial data and visualization on Geo-Map
  • Experience applying Natural Language Processing and Computer Vision techniques to large datasets
  • Experience working with multiple cross-functional teams to deliver results
  • The ability to communicate results clearly and concisely

 

 

 

 

 

 

 

Educational and Experience Requirements
  • MSc or BSc degree in a quantitative field (preferably in Statistics, Engineering)
  • Ideally, 3+ years experience working with and analyzing large data sets to solve problems and drive impact
Remuneration and Other Benefits
  • Attractive salary as per industry best practice
  • Yearly salary review based on performance
  • Weekly 2 holidays
  • 2 festival bonuses (Yearly)
  • Weekly medical consultancy
  • Annual leave encashment
  • Medical coverage
  • Congenial & friendly working environment
Deadline

    April 05, 2023

Job Location
Dhaka, Bangladesh

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