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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote mid-level Data Scientist in a metro with common skills attracts many qualified applicants.
Forecasting and Azure-focused skills moderately limit cross-industry transferability.
Explicit 3–5 years plus mandatory Python, forecasting, unit testing, and CI/CD requirements increase shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own the development and maintenance of data science forecasting solutions, ensuring reliability and maintainability for deployment.
Analyze and transform data to build, evaluate, and improve forecasting and predictive models that deliver business insights.
Collaborate with cross-functional teams to understand requirements and support continuous improvement and documentation of forecasting models.
Minimum Requirements
3–5 years of hands-on data science experience focusing on forecasting and predictive modeling.
Strong hands-on experience with Python including OOP, modularization, unit testing, Git/version control, and CI/CD pipelines.
Fluency in written and spoken English is required for effective communication.
Work Experience Required: 3–5 years in relevant data science roles.
Ideal Candidate Profile
Experienced in applying forecasting techniques within data science projects and producing production-ready, maintainable models.
Comfortable working remotely in India with collaborators including data engineers and business stakeholders.
Familiar with software development best practices and tools such as Git, unit testing, CI/CD, and preferably Azure ecosystem (Databricks, Azure ML).