Senior Data Scientist - Demand Forecasting

Role: Senior Data Scientist - Demand Forecasting

About the role...

As a Senior Data Scientist you will be involved in End to End Development from Gather req > Design > Build > Go Live. It's purely Implementation projects from the scratch where you will be building ML models using python for Demand forecasting and we are looking for someone with good hands on experience in working on Time series models (ARIMA/SARIMA). you'll get an opportunity to contribute in the SCM landscape for the core product development

This role will empower you to continuously challenge the status quo and implement the great ideas you may have to create value for o9 clients.

What youll 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
• 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 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: 4 Years to 8 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/ Master 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.
• 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.

What we’ll do for you:

• Flat organization: With a very strong entrepreneurial culture (and no corporate politics).
• Great people and unlimited fun at work
• Possibility to really make a difference in a scale-up environment
• Support network: Work with a team you can learn from every day.
• Diversity: We pride ourselves on our international working environment.
• Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared
• Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared

How the process works...

• Setup & 

  Create your profile in Workday to track the status

   - 

  Link to apply. (Job ID: JR102128).

  If already done, kindly ignore!
• Respond with your interest to us.
• We’ll 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 we’d like to progress your application.
• There will be 2 round of technical discussion followed by a techno - Managerial round.
• We will let you know if you’re the successful candidate.

Good luck!