Senior Data Scientist - Demand Forecasting

Role Overview: At o9 Solutions, we are looking for individuals who are eager to apply their expertise in machine learning techniques to contribute to our mission of digitally transforming planning and decision-making for enterprises. As part of our team, you will have the opportunity to work on cutting-edge AI-driven solutions that drive real value for our clients and the planet. Key Responsibilities: - Apply a variety of machine learning techniques such as clustering, regression, neural nets, and time series analysis to address real-world business challenges. - Develop and optimize models for demand sensing, forecasting, optimization, anomaly detection, simulation, and market intelligence. - Utilize the latest advancements in AI and ML to solve complex business problems effectively. - Collaborate with clients, project management, solution architects, consultants, and data engineers to ensure successful project delivery. Qualifications Required: - 4+ years of experience in time series forecasting using algorithms like exponential smoothing, ARIMA, and custom parameter tuning. - Experience in applied analytical methods in supply chain and planning domains. - Educational background in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field. - Proficiency in Python and/or R for Data Science. - Deep knowledge of statistical and machine learning algorithms, scalable ML frameworks, and feature engineering. - Strong presentation and communication skills, with a focus on transparency and collaboration. Additional Details: o9 Solutions is a rapidly growing technology company with a strong entrepreneurial culture and a focus on making a significant impact in the industry. Our platform, the o9 Digital Brain, is at the forefront of digital transformations for leading global enterprises. We offer competitive salaries, stock options, and a supportive work environment that values diversity and work-life balance. Join us on our mission to drive innovation and change at scale. (Note: The company's expansion, valuation, and global presence are highlighted in the additional details section.),