Data Scientist

Be part of something revolutionary

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 planet.

About the role…

Data Scientist - Forecasting

We are expanding our highly skilled team and actively seeking a proficient, talented, and ambitious Data Scientist to strengthen our demand planning team within o9. Your role will be pivotal in comprehending forecasting challenges faced by customers, particularly in Retail and CPG sectors, designing tailored solutions, creating and implementing models, validating results, and effectively communicating complex ideas to both clients and internal teams.

What you’ll do for us…

• Use latest advancements in AI/ML to solve business problems
• Apply a variety of forecasting techniques (statistical time series models and machine learning models) to solve challenging time series forecasting problems
• Fine-tune models for demand sensing/forecasting, anomaly detection, history correction and outlier detection, pricing modeling, explainability of results (Explainable AI), etc.
• Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
• Apply common business metrics (Forecast Accuracy, Bias, MAPE) and generate new ones as needed
• Conclude and present results highlighting key insights and findings to customers and internal teams
• Work collaboratively with Clients, Project Management, Solution Architects, Consultants, Data Engineers and Product Management to ensure successful delivery of o9 projects

What you’ll have...

• Overall 4+ years data science experience
• 2+ years of commercial data science experience in Demand Planning, Predictive Analysis, Demand Forecasting, Retail forecasting, or similar with time series use-cases
• Deep Knowledge of statistical and machine learning algorithms, identifying and collecting relevant input data, feature engineering, tuning, and testing
• Strong and independent mind to analyze and distill key insights from customer datasets to come up with the right methodology (level of forecasting, slicing datasets for localized and global models, parameter fine-tuning, feature engineering)
• Strong experience in quickly analyzing input data to assess quality and usability of input data to be fed to machine learning models
• Exposure to high paced experimentation including feature engineering, parameter tuning and optimization of machine learning models
• Education: Master’s in Computer Science, Mathematics, Statistics, Economics, Econometrics, Engineering, or related field
• Tools: Python, Pyspark, Machine Learning libraries, SQL, building models in platforms like Power BI or Tableau
• Characteristics: Strong presentation and communications skills. You thrive in a fast paced, challenging environment, where this is much white space and problem solving is at the heart of what drives your analysis
• We really value team spirit: Transparency and frequent communication is key. At o9, This is not limited by hierarchy, distance, or function.

Preferred Experience…

• Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
• Experience in implementing planning applications will be a plus

What we’ll do for you:

• Competitive salary
• Flexibility: Work from home two days a week. Get up a bit later, skip the commute and put the time back into your deadlines.
• Get social: When we work from home, we play from home with fun after-work activities like Social Fridays. If you’re in the office, feel free to join these events in person.
• Flat organization: With a very strong entrepreneurial culture (and no corporate politics).
• Support network: Work with a team you can learn from and 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:

• Apply by clicking the button below.
• You’ll be contacted by our recruiter, Ramya Sundaram who’ll fill you in on all things 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 3 rounds of Technical discussion
• Our recruiter will let you know if you’re the successful candidate. Good luck!

More about us…

o9 Solutions is one of the fastest growing AI-powered digital transformation companies in the world today. Our high energy environment drives us to grow and aim 10x. It’s this drive that has made us leaders of Gartner’s S&OP Magic Quadrant.

The o9 platform, or “digital brain”, is the premier AI-powered, cloud-based platform behind the digital transformations of major global enterprises. These include Google, Walmart, and Starbucks, among others.

Our headquarters are located in Dallas, and we currently have offices in Amsterdam, Barcelona, Bangalore, Tokyo, Seoul, Paris and London.

o9 is an equal opportunity employer. We welcome applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected