Sr. Data Science Consultant - Machine Learning/ Data Science

Blue Yonder; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Blue Yonder seeks a Data Science Consultant in Bengaluru to onboard clients onto the Luminate Planning suite and provide ongoing DSaaS support. You will collaborate with a global team, mentor junior members, and apply statistical methods to optimize forecasting and planning processes.

Experience in machine learning, Python data tools, and data visualization will be valued. The role offers growth within a global AI-driven supply chain solutions company.

Qualifications

• Bachelor’s or master’s degree in computer science with a focus on Data Science.
• 5–8 years of relevant experience in data science or analytics.
• Strong foundation in statistical methods and machine learning.
• Experience with data visualization tools and dashboards.

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 to ensure data availability for analytics.
• Process, cleanse, and verify data integrity for analysis.
• Perform ad-hoc analyses and present results to stakeholders.
• Address forecasting issues and data quality concerns; develop forecasting checks.

Skills

ML algorithms understanding

Python ecosystem

Data visualization

SQL querying

Data integration

Education

Bachelor’s or Master’s in Computer Science / Data Science

Tools

Python

NumPy

Pandas

Matplotlib

Seaborn

SQL

Snowflake

Airflow

Dask

Job description

• 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.

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 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

• 5 to 8 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.