Job Overview

We are seeking a talented and analytical Data Scientist to join our growing team. The ideal candidate will be responsible for analyzing large datasets, developing predictive models, and transforming complex data into actionable business insights. You will work closely with cross-functional teams to drive data-driven decision-making and support strategic business initiatives.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and opportunities.
• Develop, test, and deploy machine learning and statistical models.
• Create predictive analytics solutions to improve business performance.
• Design and maintain dashboards, reports, and visualizations.
• Collaborate with business stakeholders to understand requirements and deliver data-driven recommendations.
• Perform data cleaning, validation, and preprocessing to ensure data quality.
• Communicate findings and insights to technical and non-technical audiences.
• Stay current with industry trends, tools, and best practices in Data Science and Artificial Intelligence.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in Data Science, Machine Learning, or Analytics.
• Strong proficiency in Python, SQL, and data analysis libraries.
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of statistical analysis and predictive modeling techniques.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of Big Data technologies including Spark, Hadoop, or Databricks.
• Experience working with Generative AI and Large Language Models (LLMs).

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Paid time off and company holidays.
• Professional development and certification support.
• Flexible work environment.
• Career growth opportunities in AI and Data Science.

Career Path

Data Scientist → Senior Data Scientist → Lead Data Scientist → AI/ML Manager → Director of Data Science