Data Scientist

Responsibilities:

• Develop and implement machine learning models that address real business problems.
• Work with large and complex data sets to uncover patterns, trends, and insights.
• Partner with cross functional teams to understand needs and deliver clear, data driven solutions.
• Build and maintain reliable data pipelines while ensuring data accuracy and integrity.
• Communicate findings and recommendations to both technical and non technical stakeholders.
• Stay current with new tools, technologies, and methods in data science and machine learning.

Requirements

• A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least four years of experience in data science or machine learning roles.
• Strong programming skills in Python, R, or similar languages.
• Practical experience with supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with visualisation tools such as Tableau, Power BI, or D3.js.
• Strong analytical and problem solving skills.
• Clear communication skills and a collaborative working style.
• Experience with distributed computing frameworks such as Apache Spark, Hadoop, or Dask.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with software development practices including version control, code reviews, and testing.
• Experience with Databricks, which is our main data environment.
• Experience building and deploying models that support low latency inference in the 300 to 500 ms range based on varied and high volume data inputs.

Skills: Hadoop, Apache Spark, Azure, Power BI, Tableau, Amazon Web Services (AWS), Machine Learning, Python