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Mid-level ML Data Scientist role, metro Bangalore, common generalist title increases competition.
ML-heavy role transferable across industries but demands specialized model-building experience, so medium sensitivity.
Explicit 5+ years, mandatory ML, big-data and deployment skills increase screening strictness.
Own and execute end-to-end delivery of analytics projects including data extraction, predictive model development, validation, and operationalization on BI platforms.
Translate unclear business requirements into analytical problems and generate actionable insights for business stakeholders.
Communicate results across technical and business hierarchies and provide technical documentation and post-production support.
5+ years of comprehensive data science project experience covering use case framing to model deployment.
Degree in BE/B.Tech/ME/M.Tech or MBA (Analytics/IT/SCM/Operations/General Management) or M.Sc. in quantitative disciplines like Statistics, Mathematics, Economics, or Operations Research.
Proficient in at least one statistical computing language (R, Python, Tensorflow, Keras) and one query language (T-SQL, PLSQL, Hive, Spark, Impala, Cassandra, MongoDB).
Knowledge of big data technologies and experience with at least one reporting/visualization tool (Tableau, Power BI, QlikView, SSRS, D3, Angular JS).
Work Location: Bangalore (Whitefield)
Experienced in translating fuzzy business needs into structured data science problems with measurable impact.
Strong in statistical knowledge and diverse machine learning techniques like time series, regression, classification, clustering, anomaly detection, and NLP.
Capable of independently handling multiple phases of data science projects from requirement gathering to deployment and stakeholder communication.