Data Scientist

Job Title: Data Science

Experience: 2 to 4 years

Top skills:

• Python + SQL
• Building Model + LLM

Education: Only old IIT

Job Type: Full Time

Location : Bangalore

Employer: The world’s leading mobile eSports platform that allows users to participate in free as well as paid competitions across 60+ games in multiple categories, including fantasy sports, sports games, puzzle, casual and board games.

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:

● 4-8years 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