Data Scientist II

17 hours ago


Bengaluru, Karnataka, India MoEngage Inc. Full time

About MoEngage Inc.

MoEngage Inc. is a leading provider of intelligent customer engagement platforms, empowering customer-obsessed marketers and product owners to deliver hyper-personalized experiences at scale.

Our platform enables cross-channel campaigns and efficient customer engagement, sending billions of messages to millions of users worldwide.

As a Data Scientist II at MoEngage Inc., you will:

  • Take ownership of data product pipelines, including research, scoping, data analysis, modeling, prediction, testing, and documentation.
  • Translate product requirements into code logic with minimal guidance.
  • 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.

Responsibilities:

  • Understand product requirements and execute end-to-end data product pipelines.
  • Build quick proof of concepts (POCs) to validate hypotheses.
  • 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.

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.

Perks:

  • Work at scale and challenge yourself.
  • Work with a smart team that grew up in the Mobile First world.
  • Opportunities for professional growth and advancement.
  • Collaborative and inclusive work environment.
  • Access to cutting-edge tools, technologies, and data sets.

Language: English


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