
Data Insights Manager
2 days ago
We are seeking a highly skilled Business Analytics professional to lead analytics projects within the Analytics Continuum. This role involves conceptualizing and building predictive modeling, simulations, and optimization solutions to address business questions or use cases.
About the Role- Lead analytics projects and drive insights from internal and external data for business.
- Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
- Conceptualize and build predictive models, simulations, and optimization solutions to address business questions or use cases.
- Apply machine learning and artificial intelligence techniques 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.
- Graduation/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.
- 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.
We value diversity, equity and inclusion in our workplace and strive to create an environment where everyone feels they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
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