Sr Support Engineer - Data Scientist, Machine Learning, Python, NLP, SQL

Blue Yonder; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Blue Yonder Bengaluru is seeking a skilled data scientist/ML engineer to develop classifiers, mine data, and integrate external data sources. You will ensure data quality, refine collection processes, and present insights to stakeholders.

Proficiency in ML, NLP, and statistics is essential, with experience in supply chain domains. The role requires hands-on collaboration with platform and product teams, and flexibility to adapt to client needs, with a strong emphasis on delivering scalable

Qualifications

• Solid understanding of ML algorithms (e.g., Linear Regression, K-Means, Naive Bayes).
• Proficiency in data science toolkits: Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two).
• Experience in LLM, NLP techniques and neural networks.
• Experience in supply chain concepts and statistical analysis.
• Knowledge of operations research: integer, linear, stochastic programming.
• Strong critical and operational thinking skills.

Responsibilities

• Select, build, and optimize classifiers using advanced ML techniques.
• Conduct data mining using cutting-edge methods and tools.
• Integrate third-party data sources to enhance datasets.
• Refine data collection procedures for analytic systems.
• Process, cleanse, and verify data integrity for analysis.
• Perform ad-hoc analysis and present results to stakeholders.
• Address forecasting and data quality concerns, implement forecasting checks.
• Build custom scripts and logic using advanced ML/AI to solve business problems.

Skills

Machine Learning

Python

NumPy

Pandas

Matplotlib

Seaborn

LLM/NLP

Neural networks

SQL

Snowflake

Statistics

Data Visualization

Streamlit

Power BI

Airflow

Dask

Tools

Python

NumPy

Pandas

Matplotlib

Seaborn

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.

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

What we are looking for:

Must Have:

• 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.

Preferred:

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

Soft Skills:

• 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

Experience:

• 5 to 8 years of relevant experience

Our current technical environments/Technical Stack & products:

• OS - Unix-RHEL, Windows 2008R2 and above.
• Supply chain products: SCPO (Demand & FF, ESP, Promotions, IO, S&OP)
• RDBMS - Oracle 11g and above and SQL/PLSQL 2012 and above, Snowflake
• BA tools - Cognos.
• Interface: SFTP, AS2, DMS, Blue Yonder connect
• Scripting - Perl, Shell, Python is desirable.

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

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.