Senior Data Scientist
Cloud Enterprise Business Solutions (CEBS)
Islamabad, Islamabad, PK
4d ago
source : Mehnat Mazdoori

We are looking for a candidate to join our data team as a Data Scientist with machine learning background to support business processes using data science and analytics.

The ideal candidate will use his abilities to help solve a variety of business use-cases in the retail domain. Few examples of use-cases include modern recommendation systems, customer sentiment analysis or churn prediction.

The analytical skills and good problem solving will be needed from gaining the business understanding of the problem until deploying the model in production.

Responsibilities · Use analytical and statistical methods to analyze large amounts of data. · Design machine learning end-to-end pipelines to serve the business needs.

  • Perform evaluation / validation of the machine learning models. · Analyze the current data science workflows and transform them to the modern practices.
  • Work with development and DevOps teams for the integration of data science projects. Key Qualifications · At least 3-5 Years of professional experience as data scientist or machine learning engineer.
  • Experience with modeling business problems using the machine learning and deep learning frameworks. · Ability to research and utilize industrial research into modern solutions based on the business requirement.
  • Experience with data analysis and feature engineering in python. · Knowledge of numpy arrays and pandas library. · Experience of implementing the machine learning solutions in python.
  • sci-kit learn, SparkMlib) · Knowledge of implementation of machine learning algorithms e.g., random forest, logistic regression etc.

  • Knowledge of apache spark for data preparation, data transformation and the development of machine learning models (ML or MLlib) · Familiarity with the development of presentable dashboards / visualizations to share the data insights with the various stakeholders.
  • Nice to have · Knowledge of the apache spark architecture. · Knowledge of Jupyter notebooks and Azure Databricks Platform.

  • Research background / publication in areas of machine learning, deep learning or re-enforcement learning. · Experience with SQL and NoSQL database environments and is comfortable aggregating and combining large, complex datasets.
  • Knowledge of recommender systems. (Content based and Collaborative techniques) · Experience with data visualization tools e.
  • g., Power BI. · Experience working on Azure cloud architecture. Soft Skills · Always thrive of new ideas and better implementation techniques · Self-management of estimates, tasks, escalations, risks / issues · Ability to clearly articulate concepts to people with varying technical background · Team player, good consultative and communication skills both written and verbal What's in it for you · Competitive salary · Employees' provident fund, medical and other incentives · Unique working environment where you communicate and work directly with international clients · Self-development opportunities

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