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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Data Scientist title, metro location, and common 3–6 year experience band increase applicant competition.
Required ML, statistical, and deployment skills are transferable across industries, giving moderate sensitivity to background.
Explicit 4-year minimum plus many mandatory ML, statistical, and deployment tools makes shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy advanced statistical and machine learning models to solve complex business problems.
Conduct rigorous statistical analyses and implement data quality checks to ensure model and data integrity.
Collaborate with cross-functional teams to translate business needs into analytical solutions and maintain forecasting models for business planning.
Minimum Requirements
At least 4 years of experience in advanced data science, statistical analysis, and machine learning model development including production deployment.
Proficiency in Python and PySpark, and experience with statistical tools such as SAS or SPSS.
Experience with regression, hypothesis testing, classification algorithms, forecasting techniques, and data validation tools like Great Expectations or Evidently AI.
Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
Ideal Candidate Profile
Skilled in deploying and monitoring models using cloud-native tools like KubeFlow and BentoML.
Experienced with deep learning frameworks (TensorFlow, PyTorch, Keras, MXNet, CNTK) and cloud analytics platforms (AWS SageMaker, Azure ML, Google AI Platform).
Familiar with automated machine learning workflows and holds relevant certifications in Data Science or Machine Learning.