Data Scientist

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