Data Scientist II
17 hours ago
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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