Director Of Customer Success

O9 Solutions Dallas , TX 75201

Posted 2 weeks ago

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…

o9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the delivery of successful customer POCs (Proof-of-concepts) and in building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python. These models will have used cases primarily for Demand Planning but could also apply to areas in Supply Planning, Market Mix Modeling, Price Elasticity, New Product Planning, Store Assortment, Market Optimization, and more!

You will be key in understanding the customers' forecasting problems primarily in CPG and retail industries, designing solutions, developing, and deploying models, validating, and presenting complex concepts in an understandable manner to our clients and internal stakeholders.

What you'll do for us…

● Understand customer challenges with their current demand planning solution and tailor meaningful scope to quickly proof value of the o9 platform

● Research, design, build, deploy, and validate new and existing machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that allow for better decision making, and buying into o9's advanced forecasting capabilities

● Apply a variety of machine learning techniques (clustering, regression, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks for insights internally and externally in a quick timeframe

● Collaborate with the POC solution team including solution architects, configuration specialists, data scientists, product managers, and internal/external business teams to make sure the models are aligned with business objectives and customer needs

● Develop machine learning models for segmentation and optimization

● Provide visualization of complex data sets that includes mathematical models, algorithms, and robust analytics

● Produce recommendations and use statistical techniques that answer key product questions

● Provide on-going support for development of demand planning forecasting and predictive analysis.

● Be a storyteller to explain the "why and how'" of your data driven recommendations to cross-functional teams and customers

● Guide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities, and maintain high coding standards and best practices within organization

What you'll have...

● Experience: 5+ years of data science and data analytics experience.

● 5+ years' experience in supply chain planning analysis that specialize in: Demand Planning, Predictive Analysis, Demand Forecasting, Supply Planning, Inventory Market Optimization, Store Segmentation, Market Mix Optimization, New Product Planning, or similar.

● Experience in building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning, and testing.

● Experience developing experimental and analytics plans for data modeling processes with the ability to accurately determine and resolve problems

● Experience gathering data requirements for statistical predictive analytics research that drives market research, product innovation, and implementation in a supply chain space

● Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background

● 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

● Education: Master's in Computer Science, Mathematics, Statistics, Economics, Engineering, or related field

● Skills: R, Python, Pyspark, Machine Learning, SQL, building models in platforms like Power BI or Tableau

● Characteristics: 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 with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable

● Experience in implementing planning applications will be a plus

What we'll do for you

● Competitive salary

● Tech tools: Complementary Mac or PC laptop.

● Enjoy yourself: Unlimited paid time off.

● Stock options to eligible candidates

● High growth organization - 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

● Social: Fun after-work activities like Friday Socials. If you're in the office, feel free to join these events in person.

● Food and drink: Enjoy healthy snacks, fresh fruit, teas and coffees on us.

● Work Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared

● Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared

● Impact the planet positively: https://www.youtube.com/watch?v=-ylSC6LNZy0

Employee Testimonial

''What I like most about o9 is that I get to work with some of the smartest people in the industry. Every day is a new opportunity to learn and grow. At the same time everyone is friendly, helpful and fun to be around!''

How the process works

  • Apply by clicking the apply button.

  • You'll be contacted by our recruiter, 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 the Hiring Manager and up to 2 other o9 leaders for 45 minutes each. The recruiter will contact you after the interviews to let you know if we'd like to progress your application.

  • Your application has progressed! Meet with a new panel for a final round of interviews for 30 minutes each.

  • Our recruiter will let you know if you're the successful candidate. Good luck!

More about us…

With the latest increase in our valuation from $1.1B to $3.7B, 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, Milan, Munich, Bangalore, Tokyo, Seoul, Sao Paulo and Toronto.

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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