Senior Data Scientist - Demand Forecasting
Job details
At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t 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
- Experience: 4+ 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.
- 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.
- 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
- 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 working environment.
- Work-Life Balance:
- Feel part of A team:
- Apply by clicking the button below
- You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
- During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
- We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
- Our recruiter will let you know if you’re the successful candidate. Good luck!
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