Data Scientist

job description:

What you’ll do for us 

● 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 Application of common business metrics (Forecast

Accuracy, Bias, MAPE) and the ability to generate new ones as needed.

● Develop or optimize modules to call web services for real time integration with external

systems

● Work collaboratively with Clients, Project Management, Solution Architects, Consultants and

Data Engineers to ensure successful delivery of o9 projects.

What you’ll have

● Experience: 3+ 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..

● Education: Master’s Degree. Degrees in the following fields: Operations Research,

Mathematics, Science, Engineering, Business Administration, Business Analytics,

Computer Science, or related fields (including Supply Chain Engineering).

Skills:

● 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

●Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable

ML frameworks, identifying and collecting relevant input data, feature engineering,

tuning, and testing.

Characteristics:

● Strong presentation and communications skills

● We really value team spirit: Transparency and frequent communication is key. At o9, this is

not limited by hierarchy, distance, or function.

● communication is key. At o9, this is not limited by hierarchy, distance, or function.