Sr. Data Science Consultant - Data Science / Machine Learning

TigerHire; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Blue Yonder is seeking a Data Science Consultant in Bengaluru to join the Applied Data Science team. You will translate data into actionable insights, improve forecasting, and drive data-driven decision-making for customers and stakeholders.

The role requires 5–8 years of experience, strong Python data-science skills, and familiarization with analytics in the supply chain domain. The team operates globally with ample growth opportunities.

Qualifications

• Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means, Naive Bayes).
• Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two 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 SQL and Snowflake, or Python-based SQL wrappers.
• Grounding in applied statistics (distributions, hypothesis testing, regression).
• Bonus: Dask, Airflow, Postman/API integration.

Responsibilities

• 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 datasets when necessary.
• Refine data collection procedures to ensure relevant data for analytics.
• Process, cleanse, and verify data integrity for analysis.
• Perform ad-hoc analyses and present findings to stakeholders.
• Address forecasting and data quality concerns and build forecasting checks.

Skills

ML algorithms

Python

NumPy

Pandas

Matplotlib

Seaborn

SQL

Snowflake

Streamlit

Power BI

Dask

Airflow

Postman

API integration

Education

Bachelors or Masters in CS/Data Science

Tools

Streamlit

Power BI

Postman

Airflow

Job description

Join Blue Yonder, 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 Data Science professional with a strong foundation in statistical, analytical, and problem-solving techniques, along with the ability to translate complex data into meaningful business insights.

Be part of a dynamic team that works closely with customers and cross-functional stakeholders to drive product adoption, enhance forecasting and planning outcomes, and address complex business challenges through data-driven solutions.

Experience in implementing industry best practices, process improvements, and automation is an added advantage.

Scope

As a Data Science Consultant, you will be a key contributor to Blue Yonder's Applied Data Science (ADS) team, helping customers maximize the value of Blue Yonder's cognitive supply chain solutions through data-driven insights, analytical expertise, and continuous improvement.

You will work closely with customers and internal stakeholders to drive product adoption, support post-go-live challenges, identify underlying business and data quality issues, and deliver actionable recommendations that improve forecasting, planning, pricing, and replenishment outcomes.

You will leverage statistical and analytical methodologies, develop and utilize data-driven solutions and automation, and collaborate with customers to improve operational efficiency and decision-making.

Our team comprises approximately 50 associates in India and is part of a larger global organization spanning the US and Germany, with exciting opportunities for growth and collaboration.

Strong communication, stakeholder management, and leadership abilities are essential, along with the ability to collaborate across teams, share knowledge, and 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.