Data Science Consultant - 2 (ML Algorithms, Python, SQL)

Blue Yonder; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading AI supply chain solutions company is seeking a Data Science Consultant to onboard clients and provide ongoing support. The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science, a strong foundation in machine learning, and 3 to 6 years of relevant experience. You will optimize classifiers, conduct data mining, and ensure data integrity. Strong communication skills and experience with data visualization tools are essential for success in this role.

Qualifications

• 3 to 6 years of relevant experience in data science.
• Strong critical and operational thinking skills.
• Proficiency in data science toolkits.

Responsibilities

• Select, build, and optimize classifiers using advanced machine learning techniques.
• Conduct data mining using cutting-edge methods and tools.
• Perform ad-hoc analysis and present results clearly to stakeholders.

Skills

Machine learning algorithms

Python

Data visualization tools

SQL

Data-driven mindset

Education

Bachelor’s or Master’s degree in Computer Science

Tools

NumPy

Pandas

Matplotlib

Seaborn

Power BI

Streamlit

Snowflake

Job description

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 Data Science Consultant, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Applied Data Science 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 write code to perform forecasting checks.
• Build custom utilities using advanced ML and AI techniques to solve business problems.

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 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.
• Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration and building Agents.
• 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

• 3 to 6 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

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.