Data Science Consultant -Machine Learning, Advanced Analytics, Python, SQL
Blue Yonder (company site, opens in a new tab)5–7 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead feature selection, model building, evaluation, and optimization using advanced machine-learning techniques for client onboarding and ongoing support.
- Conduct data mining, data cleansing, transformation, and validation to ensure data integrity and reliability for analytical systems.
- Mentor junior team members and collaborate with global cross-functional teams across implementation, product, support, and customers for effective solution delivery.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Operations Research or related discipline focused on data science or analytics.
- 5-7 years of relevant experience in data science, machine learning, advanced analytics, or closely related field.
- Proficiency with machine-learning algorithms (Linear Regression, K-Means Clustering, Naive Bayes) and data science tools including Python (NumPy, Pandas, Matplotlib, Seaborn), plus SQL or Snowflake.
- Experience with supply-chain concepts, applied statistics, operations research (integer, linear, stochastic programming), and data visualization tools like Streamlit or Power BI.
Ideal Candidate Profile
- Experienced practitioner capable of independently handling end-to-end machine learning projects involving classification and forecasting in supply-chain contexts.
- Strong technical leadership skills demonstrated through mentoring junior members and managing complex stakeholder interactions globally.
- Practitioner with a strong blend of applied statistics, data science programming, and domain knowledge in supply-chain analytics enabling effective problem solving and solution integration.