Lead Data Scientist

2 months ago

bangalore, India o9 Solutions, Inc. Full time
Be part of something revolutionary
We have a vision. Our Digital Brain, o9’s AI-powered platform, is being used by global
enterprises to drive their digital transformations. The integrated planning and
operational efficiencies we provide is helping businesses do more, be more and mean
more to the world at large. Because businesses that plan better, reduce waste, creating value for
themselves and the planet.
But we also have a vision for our people. We want the most talented, committed, and driven people to power our transformative approach. In return, we’ll provide a nurturing environment where you can be a part of something special.
Job summary:
Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the planning space. Understand business; identify areas of improvement opportunities; collect and analyze data; build models in R/Python; and present results & insights using the o9 platform. Hire, train and mentor junior practitioners and support in development of data science modules.
What you’ll be doing:
Own End to end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholders
Identify relevant internal and external data sources. Recommend and oversee appropriate statistical, ML and predictive modeling concepts
Apply a variety of machine learning techniques (clustering, regression, ensemble, neural nets, timeseries, optimizations etc.) to their real-world advantages/drawbacks
Develop and deploy models for advanced models for demand planning/forecasting/sensing
Design and build innovative models for revenue management and commercial planning
Work on Market Intelligence, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, etc.
Use latest advancements in AI/ML to solve business problems
Analyse problems by synthesizing complex information, evaluating alternate methods, and
articulating the result with the relevant assumptions/reasons
Application of common business metrics and the ability to generate new ones as needed
Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data
Engineers to ensure successful delivery of o9 projects
What you’ll have:
Min 6+ years of experience in the field of Data Science and Analytics for Supply Chain
Strong programming skills and experience in using Python and/or R for Data Science
Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
Deep Knowledge of statistical and machine learning algorithms
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 building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning and testing.
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.
Experience in price elasticity models, price optimisation, market mix modelling and trade promo optimization
Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background
Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
Nice to have:
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 we’ll 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 every day.
Diversity: We pride ourselves on our international working environment.
Work-Life Balance: part of A team: the process works:
Apply by clicking the button below.
You’ll be contacted by our recruiter - Reddy Babu, 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 interview followed by Hiring Manager interview.
Our recruiter will let you know if you’re a successful candidate. Good luck
More about us…
With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.
Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.
Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.
o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

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