
Senior Business Intelligence Developer
5 days ago
As a Senior Data Analyst, you will apply advanced data analysis techniques to drive business growth and improvement. Your primary responsibility will be to develop and optimize machine learning models to solve complex business problems.
You will work with clients, project managers, solution architects, consultants, and data engineers to ensure the successful delivery of projects.
- Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc) to their real-world problems
- Develop and/or optimize models for demand sensing/forecasting, optimization
- (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc
- Use latest advancements in AI/ML to solve business problems
- Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
Key Responsibilities:
- Develop and optimize machine learning models to solve complex business problems
- Work collaboratively with clients, project managers, solution architects, consultants, and data engineers to ensure successful delivery of projects
- Apply advanced data analysis techniques to drive business growth and improvement
- Experience: 2+ Years Experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
- Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc
- Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
- Languages: Python and/or R for Data Science, SQL
We value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.
OthersDeep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing are essential skills for this role.
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