Data-Driven Insights Leader

1 day ago

Zhob District, Balochistan, Pakistan beBee Careers Full time
About Us

We foster a culture that inspires our people to achieve common goals. Guided by our core values - Caring, Inclusive, and Courageous - we strive to create a healthier future for people, their pets, and our planet.

Our trusted products are found in more households than any other brand worldwide, operating in over 200 countries.

The Experience

You will be part of a highly insight-driven and innovative group dedicated to driving business results through data-driven solutions.

You will conceptualize and build predictive modeling, simulations, and optimization solutions to address clear business objectives and measured value.

Your Key Responsibilities
  • Lead analytics projects within the Analytics Continuum.
  • Conceptualize and build predictive modeling, simulations, and optimization solutions to address business questions or use cases.
  • Apply machine learning and artificial intelligence to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business.
  • Conduct model validations and continuous improvement of the algorithms, capabilities, or solutions built.
Requirements
  • Masters in Statistics/ Applied Mathematics/ Computer Science.
  • 1+ years of experience in building data models and driving insights.
  • Hands-on experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc.
  • Hands-on experience on coding languages Python (mandatory), R, SQL, PySpark, SparkR.
  • Knowledge of using GitHub, Airflow for coding and model executions.
  • Validated understanding on tools like Tableau, Domo, Power BI and web apps framework using plotly, pydash, sql.
  • Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment.
Preferred Qualifications
  • Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
  • Shown understanding of consumer packaged goods industry.
  • Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc.
  • Willingness and ability to experiment with new tools and techniques.
  • Good facilitation and project management skills.
  • Ability to maintain personal composure and thoughtfully handle difficult situations.
  • Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc).

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