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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote, metro location, mid-level generalist title, and common skills create high applicant competition.
Forecasting and core data science skills transfer across industries, but domain specifics moderately limit fit.
Explicit 3–5 years plus mandatory forecasting, Python, CI/CD, Git, and unit testing increases shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain forecasting-focused data science solutions including building, evaluating, and improving predictive models.
Analyze datasets to extract patterns and insights aligning with business needs and prepare data for modeling.
Ensure solutions are reliable, maintainable, documented, monitored for performance, and suitable for deployment collaboration with cross-functional teams.
Minimum Requirements
3–5 years of hands-on data science experience with a focus on forecasting and predictive modeling.
Strong proficiency in Python including Object-Oriented Programming and modular coding practices.
Experience with software development best practices including Git version control, unit testing, and CI/CD pipelines.
Work Experience Required: 3–5 years as explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in operationalizing forecast models within a collaborative environment involving data scientists, engineers, and business stakeholders.
Comfortable working with software engineering tools and processes to ensure maintainability and reliability of data science solutions.
Has practical familiarity or willingness to leverage Azure-based ML platforms and associated tooling for model deployment and orchestration.