Support Engineer 2 - Data Science - Support Job at Blue Yonder (Bangalore)

Job Description

Overview: Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Blue Yonder is the world leader in digital supply chain transformations and omni-channel commerce fulfillment. Our end-to-end, cognitive business platform enables retailers, manufacturers and logistics providers to best fulfill customer demand from planning through delivery. With Blue Yonder, you’ll unify your data, supply chain and retail commerce operations to unlock new business opportunities and drive automation, control and orchestration to enable more profitable, sustainable business decisions. Blue Yonder - Fulfill your Potential™ Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, with the ability to implement them working with both the platform, and the product teams.

Job Responsibility

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 write codes to perform forecasting checks
Building custom scripts and logic using advance ML and AI techniques to solve business problems

Requirements

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 LLM, NLP techniques and Neural network
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
Must have excellent communication and interpersonal skills to interact with a wide variety of internal personnel with emphasis on follow-through and reporting
Ability to work calmly under pressure and meet deadlines
Proven background to have managed multiple stakeholders in a global environment
Must have strong multi-tasking skills
Must be self-motivated and quick learner - New technologies, platforms, integrations
Able to work flexible hours, including evenings, weekends, as warranted by the situation in critical times or to manage customer escalations
Demonstrates initiative and is inquisitive
Succeeds in a fast-paced environment
Demonstrates the ability to work independently without losing team synergy
Demonstrates customer service ethics and core values
3 to 6 years of relevant experience

Nice to have

Familiarity with Dask/parallel processing
Airflow orchestration tools
Postman/API integration
Strong scripting and programming capabilities
Data-driven mindset with an eye for detail

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Support Engineer 2 - Data Science - Support

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