Job description for Data Scientist at Glints Taploker
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.
