Data Scientist II

Responsibilities

• Understand product requirements and execute end-to-end data product pipelines, including research, scoping, data analysis, modeling, prediction, testing, and documentation.
• Translate product requirements into code logic with minimal guidance.
• Take ownership of a module of data science logic and ensure its successful delivery.
• Build quick proof of concepts (POCs) to validate hypotheses
• Collaborate with Product Offerings and Data Engineers/Technical teams to validate and implement product features.
• Handle large data sets, perform statistical analysis, and present insights and findings in a clear and concise manner.
• Proficient in using data visualization tools such as Tableau, Seaborn or Matplotlib to present insights and findings to stakeholders.
• Own, build, deploy, and maintain a scalable machine learning system with the support of the team.
• Manage the entire machine learning product development cycle from ideation to deployment.
• Identify opportunities for feature-level improvements and recommend changes to enhance solution performance.
• Actively participate in the implementation of new frameworks or concepts within data science modules to improve efficiency and effectiveness.
• Mentor and support new team members to facilitate their growth and development.

Eligibility Criteria:

• Must have 2-4 years of relevant experience.
• Strong working knowledge of Python/Java
• Understanding of ML concepts - probabilistic methods, supervised and unsupervised learning algorithms.
• Strong engineering and coding skills.
• Experience with working on public cloud systems like AWS/Azure/GCP
• Experience of applying ML, statistics, programming and advanced mathematics to build intelligent systems.

• Experience with Recommendation systems and reinforcement learning is a plus