Support Engineer 1 - Data Science

• 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.