Position: Data Scientist
Location: NJ/NYC (Onsite)
Duration: FTE
Look for Local and Banking domain consultants.
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 datadriven 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:
- Masters or PhD degree in Statistics Mathematics Computer Science or a related quantitative field.
- 57 years of experience in data manipulation statistical modeling and data analysis.
- Strong problemsolving 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 thirdparty 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