Description

You will build predictive models and extract actionable insights from large, complex datasets to drive business decisions.

You will own the end-to-end data science lifecycle, from exploratory analysis to model deployment.

Responsibilities

• Develop and implement predictive models using statistical and machine learning techniques.
• Perform exploratory data analysis and feature engineering to identify trends and patterns.
• Manage and maintain databases, data pipelines, and data validation processes to ensure integrity.
• Collaborate with product, engineering, and business teams to deliver data-driven insights.
• Communicate technical findings to both technical and non-technical stakeholders.

Required Skills

• 5+ years of experience in data science or a related field.
• Proficiency in Python or R for data manipulation and analysis.
• Strong SQL skills for complex database querying and data extraction.
• Experience with machine learning frameworks such as TensorFlow or Scikit-learn.
• Proven expertise in statistical analysis, data mining, and predictive modeling.
• Experience working with large datasets and data visualization tools like Tableau or Power BI.
• Solid understanding of data privacy and security principles.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

Preferred Skills

• Experience with big data technologies including Hadoop and Spark.
• Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.
• Experience with A/B testing, experimental design, and agile methodologies.

Key Skills

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science