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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and mid-level generalist Data Scientist role increase competition density.
Core ML and MLOps skills transfer across industries, though CV and product specifics add moderate domain bias.
Explicit 3-5 years, mandatory production ML deployment experience, and Python/SQL requirements raise shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy scalable machine learning models for offline batch, real-time online, and edge computing systems.
Analyze complex, high-volume datasets to extract actionable insights influencing strategic business decisions.
Collaborate with engineering, product, and business teams to define challenges and deliver data-driven solutions; communicate findings to technical and non-technical executives.
Minimum Requirements
3 to 5 years professional experience as a Data Scientist with production deployment of machine learning algorithms.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related quantitative discipline.
Advanced proficiency in Python and SQL.
Strong conceptual and applied knowledge of machine learning algorithms, statistical modeling, linear algebra, and probability theory.
Ideal Candidate Profile
Experienced in end-to-end ML model lifecycle in diverse environments including batch, real-time, and edge computing systems.
Able to partner cross-functionally with technical and business stakeholders to translate complex analytics into actionable business insights.
Comfortable communicating complex technical results to both technical and executive non-technical audiences.