Description

You will engineer and implement data solutions using big data technologies, including predictive modeling and machine learning algorithms.

This role is on-site.

Responsibilities

• Design and implement predictive models and machine learning algorithms to solve business problems.
• Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
• Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
• Utilize cloud technologies for scalable data solutions.

Required Skills

• 8+ years of professional experience.
• Proficiency in Python, SQL, and R.
• Hands-on experience with AWS and Azure cloud platforms.
• Expertise in big data ecosystems, including Hadoop.
• Familiarity with Skywise Palantir, SAS, and web development languages.
• Strong knowledge of machine learning techniques and statistical modeling.
• Proven ability in data visualization and storytelling.

Preferred Skills

• Experience with advanced analytics and big data tools.
• Familiarity with NLP and deep learning frameworks.

Key Skills

Education

Any Graduate