Data Scientist

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:

Strong knowledge of Data Structures and Algorithms.

Hands-on LSTMs and GRU.

Hands-on and strong knowledge of BERT models.

Hands-on Experience with GPT and T5 transformer models.

NLP Libraries (Gensim, NLTK, Spacy).

Knowledge of API building (Flask, Django).

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Knowledge of Database (RDBMS).

1-1.5 years experience.