Senior Data Scientist
3 weeks ago
We are seeking an exceptional Data Scientist to join our team. You will be responsible for owning and executing the Data Science solutions including large dataset handling, model development and deploying the solution in real time. This is a highly impactful role where your work will help the team create the best gaming platform in the world. An ideal candidate is required to participate in setting up values for the team, lead the initiatives, guide other team members, maintain visibility on work and progress across different stakeholders and address any process concerns.
Responsibilities:
- Collaborate with Product, Design and Engineering teams to identify and develop an understanding of the Data Science requirements.
- Research and propose innovative statistical/ML models to address the requirements.
- Target and formulate various problems in terms of key business metrics and measure the impact of the built ML techniques.
- Analyse data for trends and patterns, and Interpret data with a clear objective in mind
- Develop, deploy and maintain the ML/Deep Learning models in production or build the regular Cadence to facilitate the same
- Work closely with the Engineering team to strategies and execute the development of Data Science projects.
- Communicate progress/findings to relevant stakeholders.
- Assist in defining short and long term roadmaps that help growth and demonstrate impact at the organisational level.
- Upto date knowledge in the field of technical and industry developments.
Requirements:
- 4-8 years of experience in with Bachelor's/Master's degree in Statistics, Applied mathematics, or related discipline
- Effective communication of DS requirements and dissemination of right knowledge to relevant stakeholders.
- Experience with Spark, Flask, SQL, Python, Cloud platform.
- Experience in Machine Learning, Deep Learning and Engineering aspects of ML model deployment.
- Proficiency with data analysis, mathematics/probability, and statistical analysis.
- Experience in predictive modelling exercise.
- Comfort working in a dynamic, fast paced, hands-on and manage ideation and execution of more than one ongoing concurrent projects.
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