Role : Lead Data Scientist - Retail Demand Forecasting

Location : Bangalore, Hybrid

About the role :

At o9, we invest in people. We seek talented, driven individuals to power our transformative approach. Youll thrive in a dynamic, supportive environment, growing while making a real impact.

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 advantages/drawbacks

- 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

- Analyze 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 externa 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 : 6+ Years of 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.

- Should be from a statistical background.

- Education : Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field

- Languages : Python and/or R for Data Science

- Skills : Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.

- Domain : Retail Projects (Apparels/ Footwear/ Garments/ Clothes/ Ecommerce), Manufacturing (MFG) preferred.

- Characteristics : Independent thinkers 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.

Nice to have :

- Experience with SQL, databases and ETL tools or similar is optional but preferred

- Exposure to distributed data/computing tools : Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies

- Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable

- Experience in implementing planning applications will be a plus

- Understanding of Supply Chain Concepts will be preferable

- Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What well do for you :

- Competitive salary with stock options to eligible candidates

- Flat organization : With a very strong entrepreneurial culture (and no corporate politics)

- Great people and unlimited fun at work

- Possibility to make a difference in a scale-up environment.

- Opportunity to travel onsite in specific phases depending on project requirements.

- Support network : Work with a team you can learn from everyday.

- Diversity : We pride ourselves on our international work environment.

- DavOs Insight (Turning VUCA into value with Neuro-Symbolic AI)

How the process works :

- Setup & Create your profile in Workday to track the status - Link to apply. If already done, kindly ignore!

- Respond with your interest to us.

- Well contact you either via video call or phone call - whatever you prefer, with the further schedule status.

- During the interview phase, you will meet with the technical panel for 60 minutes. We will contact you after the interview to let you know if wed like to progress your application.

- There will be 2 rounds of technical discussion followed by a Managerial round.

- We will let you know if youre the successful candidate.