to join our remote analytics and AI team. The ideal candidate will have over 7 years of experience applying statistical modeling, machine learning, and data-driven insights to solve complex business problems. You will collaborate with cross-functional teams -- including product managers, data engineers, and business stakeholders -- to design, implement, and deploy scalable data science solutions.
Key Responsibilities:
Lead end-to-end data science projects from business understanding to model deployment.
Design, build, and evaluate
machine learning and predictive models
using Python, R, or similar tools.
Work with
large-scale structured and unstructured data
from multiple sources.
Implement
data cleaning, feature engineering, and exploratory data analysis (EDA)
techniques.
Deploy models into production using
ML pipelines, APIs, or cloud services (AWS, Azure, GCP)
.
Present actionable insights and model outcomes to technical and non-technical stakeholders.
Collaborate with data engineering teams to ensure robust data pipelines and high-quality datasets.
Stay current with emerging technologies in
AI, NLP, Deep Learning, and Generative AI
.
Required Skills & Qualifications:
Bachelor's or Master's degree in
Computer Science, Data Science, Statistics, Mathematics, or a related field.
7+ years of professional experience in data science or applied machine learning.
Proficiency in