Sr. Data Science Consultant - Machine Learning/ Data Science
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Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time
First seen by Alion on Nov 4, 2026.
Overview
Company
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Blue Yonder is an American supply chain software company providing planning, warehouse, transportation, commerce and retail execution software to retailers, manufacturers and logistics providers. Founded in 1985 as JDA Software, it took the Blue Yonder name in 2020 after acquiring the German AI firm of that name and has been owned by Panasonic since 2021. The company is headquartered in Scottsdale, Arizona, and runs large development centres in India, where it hires software engineers, data scientists and ServiceNow specialists.
Backed by Visionaries, Lowercarbon Capital, Breyer Capital
Overview
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.
- 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.
- 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.
- 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.
- 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.
- Bachelor's or master's degree in computer science with a focus on Data Science.
- 5 to 8 years of relevant experience.
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.
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