Data Scientist
The responsibilities include
• Perform data analysis on big datasets to mine insights to validate business hypotheses.
• Prepare reports that contains insights from data and communicate findings to wide range of stakeholders.
• Develop machine learning / AI algorithms for solving complex business problems.
• Develop processes and tools to monitor and analyse machine learning model performance and accuracy.
• Drive innovation through building prototypes and showcasing them.
• Build visualisations to communicate key insights to non-technical stakeholders.
• Prepare reports that contains insights from data and communicate findings to wide range of stakeholders.
• Develop machine learning / AI algorithms for solving complex business problems.
• Develop processes and tools to monitor and analyse machine learning model performance and accuracy.
• Drive innovation through building prototypes and showcasing them.
• Build visualisations to communicate key insights to non-technical stakeholders.
The skills that we consider
• Good mathematical knowledge in the areas of statistics and machine learning algorithms.
• Good knowledge of cloud (GCP, AWS, Azure) and big data technologies such as Hadoop, Spark.
• Expert in using Git , R / Python•Good exposure to DevOps / DataOps / MLOps methodologies.
• Good knowledge of cloud (GCP, AWS, Azure) and big data technologies such as Hadoop, Spark.
• Expert in using Git , R / Python•Good exposure to DevOps / DataOps / MLOps methodologies.
Job Perks
• Immense learning opportunity, as we are a small team withvaried and interesting professional and personal experiences.
• Multi-Disciplinary Learning.
• Chances of catching up with entrepreneurs, technology leaders, educationists, and scientists that you’d never meet otherwise.
• Multi-Disciplinary Learning.
• Chances of catching up with entrepreneurs, technology leaders, educationists, and scientists that you’d never meet otherwise.
Eligibility Criteria
B.Tech / B.Sc / M.Sc (Data Science, AI/ML)-75% marks throughout and with no arrears.
Selection Process
• Round 1 – Test –MCQs.
• Round 2 – TaskRound.
• Round 3 – Technical Round.
• Round 4– HR Round
• Round 2 – TaskRound.
• Round 3 – Technical Round.
• Round 4– HR Round