Data Scientist II

Location: Bengaluru,None,None

MoEngage is an insights-led customer engagement platform, trusted by 1,200+ global consumer brands. As a Great Place to Work Company, we are a young, fast-paced and intelligent customer engagement platform that fosters a culture of innovation, ownership, freedom, and fun while building future-ready technology products. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyzes billions of data points generated by customers and their devices to predict their behaviour and engage them at every touchpoint throughout their lifecycle with personalized communication.

In just eight years since our inception, we have worked with leading Fortune 500 brands such as Deutsche Telekom, Samsung, Ally Financial, AirTel, and McAfee along with internet-first brands such as Flipkart, Ola, OYO, and Bigbasket, with a global presence that encompasses 35 countries. We currently have offices in San Francisco, Boston, London, Dubai, Ho Chi Minh City, Bangkok, Kuala Lumpur, Singapore, Sydney, Vietnam, Berlin, Jakarta, and Bengaluru.

The care we give to our customers is quite high! Our achievement of top service and support ratings in Gartner's Magic Quadrant, Gartner Peer Insights, and G2 Summer Reports is a testament to that. Another commendable quality is our people-centric culture, as we have recently been included in Battery Ventures' top 25 private cloud computing companies. As recognized by the DivHERsity Awards, we are one of the top 20 diversity companies in the world, while the Economics Times names us as one of the Top Organizations for Women.

Will you be able to thrive in a fast-paced environment where innovation, speed, and customer-centric thinking are the norm? Is it your passion to uncover opportunities others are unaware of and to champion them? Do you crave ownership and a chance to be a part of something that matters? If so, this may be a worthwhile opportunity for you!

As part of the Data Science/Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micromanagement
• Work with A players (some of the best talents in the country), and expedite your learning curve and career growth
•  Make in India and build for the world at the scale of 900 Million active users, which no other internet company in the country has seen
•  Learn together from different teams on how they scale to millions of users and billions of messages.
•  Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team and more importantly, have fun while you work on scaling MoEngage.

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 

Perks:

• Work at Scale and challenge yourself.
• Work with a smart team which 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.
• Opportunity to work in a fast-paced and innovative industry.