Overview

Develop predictive models, machine learning algorithms, and statistical solutions to solve complex business problems. Create data visualizations, dashboards, and reports that support strategic decision-making. Perform feature engineering, model validation, and performance optimization for production-ready solutions. Utilize Python, R, SQL, and data science libraries to automate data processing and model development. Work with cloud platforms and big data technologies to manage large-scale datasets efficiently.

Responsibilities

• Develop predictive models, machine learning algorithms, and statistical solutions to solve complex business problems
• Create data visualizations, dashboards, and reports that support strategic decision-making
• Perform feature engineering, model validation, and performance optimization for production-ready solutions
• Utilize Python, R, SQL, and data science libraries to automate data processing and model development
• Work with cloud platforms and big data technologies to manage large-scale datasets efficiently
• Document methodologies, monitor model performance, and continuously improve analytical processes following industry best practices

Qualifications

• Experience in data science roles with emphasis on predictive modeling and ML frameworks
• Proficiency in Python and R programming languages
• Strong understanding of SQL for extracting and manipulating large datasets
• Knowledge of machine learning algorithms and statistical analysis methods
• Experience working with Big Data platforms (e.g., Hadoop, Spark)

Nice to have

• Experience in deploying ML models in real-world applications
• Familiarity with advanced analytics tools such as TensorFlow or PyTorch