Job Description

Collect and analyze large datasets to uncover hidden patterns, trends, and insights. o Design and implement machine learning models using Python libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. o Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. o Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. o collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. o Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.

Master's degree in Computer Science, Statistics, Mathematics, or a related field. o 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. o Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. o In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. o Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. o Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). o Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. o Strong communication and presentation skills, both written and verbal.

o Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. o Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). o Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. o Familiarity with real-time data processing and streaming analytics. o Passion for learning and staying at the forefront of data science and machine learning advancements.

Technology->Analytics - Techniques->Cluster Analysis,Technology->Analytics - Techniques->Decision Trees,Technology->Analytics - Techniques->Linear Regression,Technology->Machine Learning->Python