Core Responsibilities

• Write programs to cleanse and integrate data in an efficient and reusable manner.

• Work with large structured and unstructured datasets.

• Build NLP solutions and ML models for the product teams.

• Develop custom data models and algorithms to apply to data sets.

• Conduct data driven research.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

Skill Profile

• Good understanding of ML theory and fundamentals.

• Strong working knowledge of ML algorithms (supervised, unsupervised, reinforcement learning, deep learning, time series, etc).

• Good understanding and expertise in processing large datasets and experience with tools such as Spark.

• Strong Python and SQL knowledge.

• Understanding of and proficiency in NLP.

• Good prototyping skills.

• Strong math skills (e.g. statistics)

• Ability to learn quickly in a fast-paced environment.

• Excellent research skills and a strong analytical mind-set.

• Great verbal and written communication skills.

Requirements

• 0-2 years of working/hobby/personal experience in Data Science and related domains.

• 0-2 years of working/hobby/personal experience in Python and SQL.

• Degree is Computer Science or Mathematics is an added advantage.

• Working experience in large NLP projects is an added advantage.

What we DON’T care about:

Your age, gender, where you went to college, or your academic scores.

What we DO care about:

• Our mission resonates with you.

• You have an unquenchable curiosity, which means you’ll figure a way out even in an unfamiliar environment.

• And finally your integrity and work ethic.