Data Scientist

Role

In this role, you will:

• Identify relevant data sources, collect and clean large structured and unstructured data, and integrate variables into model-building processes. You will also improve model algorithms by conducting error analysis and optimizing performance.
  
• Communicate key insights from analyses, experiments, and data products to stakeholders, ensuring data-driven decision-making across the organization.
  

About you

The ideal candidate for this position should:

• Bachelor's degree in mathematics, statistics, engineering, or analytics related fields. A graduate degree is preferred but not required.
  
• Solid understanding and practical experience in machine learning techniques, including supervised and unsupervised learning. Proficiency in implementing various algorithms to solve business problems.

Expertise in statistical models such as regressions, time series analysis, and other predictive modeling techniques to analyze and interpret complex data sets.

Proficient in programming languages such as Python, PySpark, and SQL, with hands-on experience in writing efficient, reusable code for data analysis and machine learning projects.

Experience with big data technologies like Hadoop, including the ability to manage and process large datasets in distributed environments.

Ability to work effectively under the guidance of senior data scientists, contributing to model development and problem-solving while learning and refining new skills.

Strong communication skills, with the ability to clearly present complex findings and insights to team members, both technical and non-technical, ensuring alignment and understanding of project objectives and outcomes.

Collaborative mindset, with a willingness to work in a team-oriented environment

Computing