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Mid-level ML generalist in Bangalore with broad skillset and 4–7 year band increases applicant competition.
Requires ML expertise plus supply-chain and operations research knowledge, making fit somewhat domain-sensitive.
Explicit 4–7 years plus mandatory ML, NLP, statistics, and supply-chain experience.
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Onboard clients onto Blue Yonder’s Luminate Planning suite and provide ongoing support through the Applied Data Science offering.
Select, build, and optimize machine learning classifiers; conduct data mining and integrate third-party data to enhance datasets.
Mentor junior team members and address forecasting issues and data quality by performing analysis and writing code for forecasting checks.
4 to 7 years of relevant experience.
Bachelor’s or Master’s degree in Computer Science with focus on Data Science.
Proficiency in at least two data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn.
Strong understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).
Experienced in applied machine learning and statistical analysis within supply chain or related domains.
Skilled in operationalizing ML models including data cleansing, processing, and integration with external data sources.
Capable of leadership and mentoring junior members, with strong communication skills for stakeholder engagement.