Data Driven Decision Maker

1 week ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
About the Role

We are looking for an experienced AI engineer to join our team. As a key member of our organization, you will be responsible for developing and implementing machine learning models using various programming languages.

Key Responsibilities:

  • Developing and deploying machine learning models using Python, R, and SQL.
  • Working closely with cross-functional teams to identify business opportunities and develop data-driven solutions.
  • Analyzing complex data sets and communicating findings to both technical and non-technical stakeholders.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or IT-related field from an HEC-recognized university (4 years).
  • 7-10 years of proven experience as a Senior Data Scientist.
  • IBM Deep Learning Certification preferred.

Qualifications and Skills:

  • Experience working with large-scale datasets to develop machine learning, predictive, forecasting, and optimization models.
  • Proficiency with data querying languages (SQL, Oracle), scripting languages (Python, R), and statistical software (R, SAS, Stata, Matlab).
  • Experience in data extraction, analysis, and communication.
  • Knowledge of supervised and unsupervised learning methods.
  • Ability to communicate complex technical concepts to non-experts.
  • Skills in building models using machine learning, statistical modeling, and quantitative techniques.
  • Ability to improve existing methodologies and develop new data sources.
  • Excellent verbal and written communication skills for engaging with business and technical teams.
  • Understanding of business context to develop meaningful analytic solutions.

Contract Terms:

  1. The initial contract period is 5 years, extendable if required.
  2. The management reserves the right to accept or reject any application without explanation.
  3. Only shortlisted candidates will be contacted for tests/interviews.
  4. False information will disqualify candidates.
  5. Women, minorities, transgender, and differently-abled candidates are encouraged to apply.
  6. Electronic devices are not allowed during tests and interviews.
  7. Online applications are accepted until the deadline.

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