Data Scientist

Data Scientist

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 2+ Years of experience with statistical and machine learning fundamentals and their practical applications.
• 2+ Years of experience in developing and optimizing machine learning models for predictive analytics, forecasting, or recommendation systems.
• Hands on experience with Python and familiarity with data science libraries such as pandas, NumPy, scikit-learn, statsmodels, TensorFlow, or PyTorch.
• Experience with modern data processing tools (e.g., Apache Spark, SQL) and cloud infrastructure and services (e.g., AWS, Google Cloud, Databricks).
• Familiarity with MLOps practices and tools (e.g., Version Control, Pipelines, Containerization, and Orchestration) for model testing, deployment and monitoring.

Responsibilities

• Develop and implement new models or enhancements to drive innovation in predictive analytics and personalized user experiences.
• Analyze large-scale datasets to uncover insights, identify trends, and inform model development and optimization.
• Apply statistical and machine learning techniques to solve complex business problems and improve model performance.
• Work with modern data processing tools, modeling frameworks, MLOps pipelines, and cloud infrastructure to ensure efficient and scalable workflows.
• Partner with cross-functional teams, including Machine Learning Engineers, AI Engineers, and Platform/Software Engineers, to integrate models into production environments.
• Document methodologies, experiments, and findings to support team collaboration and knowledge sharing.
• Stay current with advancements in data science, machine learning, and related technologies to bring modern approaches to our solutions.

Preferred Qualifications

No preferred qualifications provided.