Data Scientist

Position Overview

We are seeking a Data Scientist to leverage data, statistical analysis, and machine learning techniques to identify business opportunities, solve complex problems, and drive data-informed decision-making. This individual will work closely with cross-functional teams to develop predictive models, uncover trends, and translate complex datasets into actionable business insights.

Key Responsibilities

• Collect, clean, process, and analyze large datasets from multiple sources.
• Develop and implement statistical models and machine learning algorithms to solve business problems.
• Identify trends, patterns, and insights to support strategic business decisions.
• Build, test, and optimize predictive models and analytical solutions.
• Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions.
• Develop dashboards, reports, and visualizations to communicate findings to stakeholders.
• Monitor model performance, validate results, and continuously improve analytical solutions.
• Present complex technical findings in a clear and actionable manner to both technical and non-technical audiences.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience working with Python and/or R for data analysis and modeling.
• Strong SQL skills and experience working with relational databases.
• Knowledge of statistical analysis, machine learning, and predictive modeling techniques.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with large datasets and data processing frameworks.
• Knowledge of data pipelines, ETL processes, and data engineering concepts.
• Experience deploying machine learning models into production environments.

Core Competencies

• Statistical Modeling & Predictive Analytics
• Machine Learning & AI
• Python / R / SQL
• Data Visualization & Reporting
• Data Mining & Data Manipulation
• Business Intelligence
• Problem Solving & Critical Thinking