Principal Data Scientist (AI)

TL;DR

Principal Data Scientist (AI): Designing and deploying advanced statistical and machine learning solutions for large-scale data analysis with an accent on predictive analytics and automated data pipelines. Focus on building probabilistic graph models, optimizing high-load pipelines using PySpark, and ensuring model reliability via rigorous evaluation frameworks.

Location: Remote (USA)

Company

hirify.global is a global digital transformation services firm specializing in AI and data engineering to help clients drive measurable business impact.

What you will do

• Design and implement robust statistical models and ML algorithms for large-scale predictive analytics.
• Lead end-to-end data science projects, including hypothesis testing, regression analysis, classification, and forecasting.
• Optimize and automate data pipelines using Python, PySpark, and R to ensure efficient feature engineering.
• Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks.
• Build, train, and deploy models using industry-leading frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn.
• Mentor and guide junior data scientists to foster technical excellence within the team.

Requirements

• 15-18 years of experience in advanced data science roles with extensive leadership in deploying ML solutions.
• Expertise in hypothesis testing (T-Test, Z-Test) and advanced regression techniques.
• Strong programming proficiency in Python, PySpark, and R/R Studio.
• Hands-on experience with SAS and SPSS for statistical computing.
• Experience with forecasting methods (ARIMA, ARIMAX) and classification algorithms (SVM, Decision Trees).
• Master’s or PhD degree in Data Science, Statistics, Computer Science, or Mathematics.

Nice to have

• Experience implementing advanced model monitoring with Evidently AI.
• Expertise in data pipeline orchestration using Kubeflow.
• Experience with large-scale distributed computing environments.
• Relevant certifications in machine learning or advanced statistical analysis.

Culture & Benefits

• Remote work arrangement.
• Commitment to equal employment opportunity and diversity.
• Environment focused on continuous learning and technical excellence.