Required Technical Skills

Programming

Strong Python programming skills. 

Experience with NumPy, Pandas, SciPy, and Scikit-learn. 

Ability to write clean, production-quality code. 

Machine Learning

Strong understanding of:

Supervised Learning 

Unsupervised Learning 

Ensemble Methods 

Time Series Forecasting 

Clustering 

Recommendation Systems 

NLP fundamentals 

Deep Learning fundamentals 

Model Evaluation 

Feature Engineering 

Statistics & Mathematics

Probability 

Hypothesis Testing 

Statistical Modeling 

Regression Analysis 

Experimental Design (A/B Testing) 

Bayesian methods (preferred) 

SQL & Data

Advanced SQL 

Data Wrangling 

Data Cleaning 

Data Exploration 

Feature Engineering 

Data Visualization 

AWS / Cloud

Experience with several of the following:

SageMaker 

S3 

Lambda 

Glue 

Athena 

Redshift 

EMR 

CloudWatch 

AI Frameworks

Experience with one or more:

Scikit-learn 

TensorFlow 

PyTorch 

XGBoost 

LightGBM 

Hugging Face Transformers (preferred) 

Desired Experience

5–10 years of experience in Data Science or Machine Learning. 

Experience delivering production-grade ML solutions. 

Experience working with large-scale enterprise datasets. 

Experience deploying models into cloud environments. 

Strong understanding of end-to-end machine learning lifecycle.