Description

Job Overview:

We seek a highly skilled Data Scientist to join our team and leverage data analysis to drive innovation and optimization within our financial services firm. The ideal candidate will possess a deep understanding of data mining and analysis techniques, as well as a proven ability to extract meaningful insights from large datasets.

Responsibilities:

  • Collaborate with stakeholders across the organization to identify opportunities for data-driven solutions.
  • Mine and analyze data from company databases to optimize processes and business strategies.
  • Evaluate the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to datasets.
  • Utilize predictive modeling to enhance customer experiences, revenue generation, and other business outcomes.
  • Establish and implement an A/B testing framework to assess model quality.
  • Partner with functional teams to implement models and monitor their impact.
  • Develop processes and tools to monitor model performance and data accuracy.

Qualifications:

  • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • 5-7 years of experience in data manipulation, statistical modeling, and data analysis.
  • Strong problem-solving skills with a focus on product development.
  • Proficiency in statistical computer languages (e.g., R, Python) for data manipulation and analysis.
  • Experience in data architecture design and implementation.
  • Comprehensive knowledge of machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks) and their practical applications.
  • Familiarity with advanced statistical concepts (e.g., regression, distribution properties, statistical tests).
  • Excellent written and verbal communication skills for effective collaboration across teams.
  • A passion for exploring new technologies and techniques.

Preferred Skills and Experience:

  • Coding knowledge and experience in multiple languages (e.g., C, C++, Java, Python).
  • Expertise in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees).
  • Experience querying databases and using statistical computer languages (e.g., R, Python).
  • Familiarity with web services.
  • Experience developing and applying advanced machine learning algorithms (e.g., regression, simulation, modeling, clustering).
  • Experience analyzing data from third-party providers (e.g., Google Analytics, Site Catalyst).
  • Knowledge of distributed data/computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
  • Experience working in a cloud platform Azure, GCP, AWS and their datawarehouse technologies – BigQuery, Snyapse etc
  • Knowledge/Experience with Snorkel AI is a strong plus

Education

Any Graduate