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.
- Solid 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.

📌 Sr Data Science Consultant I (Bengaluru)
🏢 Blue Yonder
📍 Bengaluru