Job Url: https://www.remoterocketship.com/company/hakkoda-io/jobs/lead-data-scientist-intelligent-forecast-application-united-states Job Description: Hakkoda Website LinkedIn All Job Openings Hakkoda is a consulting firm that specializes in data modernization and management services. They help organizations across healthcare, financial services, and the public sector leverage data through innovative technological solutions. Their expertise includes Snowflake Optimization, SAP Migrations, AI-driven business intelligence, and data governance. Hakkoda partners with leading technology firms to deliver scalable and effective data strategies, enabling clients to modernize, migrate, and monetize their data assets efficiently. Snowflake Cloud Data Platform β€’ Data Science β€’ Data Engineering β€’ Data, Analytics and ML Strategy β€’ dbt 51 - 200 employees 🏒 Enterprise ☁️ SaaS πŸ€– Artificial Intelligence πŸ’° $5.6M Seed Round on 2021-11 Lead Data Scientist - Intelligent Forecast Application May 23 🀠 Texas – Remote ⏰ Full Time 🟠 Senior πŸ“Š Data Scientist πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ About Hakkoda β€’ Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. β€’ We are seeking an exceptional and highly motivated Lead Data Scientist with a PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field, to spearhead the design, development, and deployment of an automotive OEM’s next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. The successful candidate will be a recognized expert in advanced forecasting methodologies, possess a strong foundation in data engineering and MLOps principles, and demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. β€’ This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. β€’ This role offers an unparalleled opportunity to make a significant impact on the strategic direction and operational efficiency of a global automotive leader, contributing directly to the future of intelligent manufacturing and supply chain management. 🎯 Requirements β€’ Requires PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. β€’ 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role, with a significant focus on developing and deploying advanced forecasting solutions in a production environment. β€’ Demonstrated experience designing and developing intelligent applications, not just isolated models. β€’ Experience in the automotive industry or a similar complex manufacturing/supply chain environment is highly desirable. β€’ Expert proficiency in Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R. β€’ Strong proficiency in SQL. Machine Learning/Deep Learning Frameworks. β€’ Extensive experience with TensorFlow, PyTorch, Keras, or similar deep learning libraries. β€’ Forecasting Specific Libraries: Proficiency with forecasting libraries like Prophet, Statsmodels, or specialized time series packages. Data Warehousing & Big Data Technologies. β€’ Experience with distributed computing frameworks (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., Snowflake, Databricks, S3, ADLS). β€’ Hands-on experience with at least one major cloud provider (Azure, AWS, GCP) for data science and ML deployments. β€’ Understanding and practical experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines). β€’ Proficiency with tools like Tableau, Power BI, or similar for creating compelling data stories and dashboards. β€’ Deep understanding of statistical inference, experimental design, causal inference, and the mathematical foundations of machine learning algorithms. β€’ Proven ability to analyze complex, ambiguous problems, break them down into manageable components, and devise innovative solutions. πŸ–οΈ Benefits β€’ Medical, Dental, Vision. β€’ Life Insurance. β€’ Paid parental leave. β€’ Flexible PTO Options. β€’ Company Bonus Program. β€’ Work from home benefits. β€’ Technical training and certifications. β€’ Robust learning and development opportunities β€’ Trip to Costa Rica.