Support Engineer 1 - Data Science

Overview:  * Join one of the world’s leading AI-driven supply chain solutions companies, recognized by Glassdoor as one of the “Best Places to Work.”   * We are looking for a skilled individual with a strong foundation in statistical and analytical methods, who can also collaborate effectively with teams during deployment and operational phases.   * Expertise in implementing industry best practices is a plus.  Scope:  * As a Support Engineer, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Data Science as a Service (DSaaS) offering.   * Our team currently consists of approximately 50 associates in India, part of a larger global team spanning the US and Germany, and is poised for rapid growth.   * Strong communication and leadership abilities are essential, as you will mentor junior team members.  What you’ll do:  * Select, build, and optimize classifiers using advanced machine learning techniques.  * Conduct data mining using cutting-edge methods and tools.  * Integrate third-party data sources to enhance the company’s datasets when necessary.  * Refine data collection procedures to ensure relevant data is available for analytic systems.  * Process, cleanse, and verify the integrity of data used for analysis.  * Perform ad-hoc analysis and present results clearly to stakeholders.  * Address customer concerns regarding forecasting issues and data quality, and build utilities to perform forecasting checks.  What we are looking for:   * Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).  * Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two is required).  * Experience in supply chain concepts and statistical analysis.  * Knowledge of operations research concepts, including integer, linear, and stochastic programming.  * Strong critical and operational thinking skills.  * Familiarity with data visualization tools such as Streamlit and Power BI.  * Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers.  * Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.  * Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.  * Strong scripting and programming capabilities.  * Data-driven mindset with an eye for detail.  **Educational Background:**  * Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.  **Experience:**  * 1 to 3 years of relevant experience.  **Our Values** If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: [Core Values](https://blueyonder.com/about/core-values) All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.