Data Scientist II
18 hours ago
MoEngage is a leading intelligent customer engagement platform, empowering marketers and product owners to deliver hyper-personalized experiences at scale. Our innovative technology enables the analysis of audience behavior and effective communication across multiple channels, including mobile push, email, in-app, web push, on-site messages, and SMS.
We have an impressive list of Fortune brands and Enterprises across 35 countries that rely on us to orchestrate their cross-channel campaigns and engage efficiently with their customers, sending over 50 billion messages to millions of consumers every month.
Our VisionWe aim to build the world's most trusted customer engagement platform for the mobile-first world. At MoEngage, we are dedicated to delivering exceptional service and support, earning top ratings in Gartner Magic Quadrant, Gartner Peer Insights, and G2 Summer Reports.
Job SummaryWe are seeking a highly skilled Data Scientist II - Advanced Analytics Expert to join our Data Science/Engineering team. As part of this role, you will be responsible for designing and developing advanced analytics solutions to drive business growth and customer engagement.
- Taking ownership and being accountable for your work, with minimal micromanagement.
- Collaborating with A-players to expedite your learning curve and career growth.
- Working at scale with millions of active users, pushing the boundaries of what's possible in the industry.
- Leveraging cutting-edge tools and technologies to analyze complex data sets and drive informed decision-making.
Your primary responsibilities as a Data Scientist II - Advanced Analytics Expert will include:
- Executing end-to-end data product pipelines, from research to deployment, ensuring seamless integration with our existing infrastructure.
- Designing and implementing machine learning models to predict customer behavior and preferences.
- Collaborating with cross-functional teams to develop and deploy data-driven solutions.
- Analyzing large data sets to identify trends and insights that inform business decisions.
- Presenting findings and recommendations to stakeholders through clear and concise reports and visualizations.
To succeed in this role, you will need:
- 2-4 years of experience in data science or a related field.
- Strong working knowledge of Python and Java programming languages.
- Proficiency in machine learning concepts, including supervised and unsupervised learning algorithms.
- Experience working with public cloud systems like AWS, Azure, or GCP.
- Excellent analytical and problem-solving skills, with the ability to communicate complex ideas simply.
We offer a competitive salary package and benefits, including:
- A comprehensive compensation plan, estimated to be around $120,000-$180,000 per annum, depending on location and experience.
- Opportunities for professional growth and advancement within the company.
- A collaborative and inclusive work environment that values diversity and creativity.
- Access to cutting-edge tools, technologies, and data sets to fuel your innovation and growth.
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