Work With Us

Data Scientist

Interview Rounds: 4


As a Data Scientist, your role is pivotal in harnessing the power of data to derive actionable insights and contribute to our analytical initiatives. Key responsibilities include:

  • Apply 5+ years of professional experience as a data engineer to design and implement robust data pipelines.
  • Leverage Python and SQL for data processing, analysis, and modeling.
  • Utilize expertise in state-of-the-art machine learning algorithms, including deep neural networks, support vector machines, boosting algorithms, and random forest.
  • Apply advanced algorithms to extract meaningful patterns and insights from diverse datasets.
  • Conduct advanced feature engineering to enhance model performance.
  • Implement data dimension reduction techniques in a Big Data environment for improved efficiency.
  • Demonstrate strong SQL skills in a Big Data environment, working with platforms like Hive and Impala.
  • Conduct data analysis and extraction efficiently within large datasets.

Technical Proficiency:

  • Demonstrate proficiency in handling big data environments, showcasing a nuanced understanding of data complexities and scalability challenges.
  • Apply expertise in conducting comprehensive analyses and generating insights.

Minimum Education:

A Master’s degree in computer science and data science, reflecting a strong academic foundation.


Showcase previous experience in notable sectors such as banking or e-commerce, bringing a nuanced understanding of industry-specific challenges and opportunities.

IT Services
United States