Data Scientist - II

We at Khatabook are looking to hire a Data Scientist II. If you want to tackle hard and interesting problems at scale and create an impact within an entrepreneurial environment, this is the place for you.

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements:

• 2+ years of experience manipulating data sets and building statistical models.
• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc. ) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc. ) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc. ) and experience with applications.
• Experience in working with a full ML project lifecycle: understanding the problem statement and data, feature creation, development, tuning, validating, deployment, monitoring, and retraining.
• Excellent written and verbal communication skills for coordinating across teams.
• Knowledge of real-time and batch deployment techniques.
• Worked with MLOps pipelines and tools such as GIT, DVC, S3 Airflow and Kubernetes.
• A drive to learn and master new technologies and techniques.
• Bachelor's degree in Statistics, Mathematics, Computer Science or another quantitative field.