Data Science Analyst r

Global Channel Managementinc; Pasadena (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Global Channel Managementinc is seeking a Data Science Analyst to advance data-driven strategies in banking. The role emphasizes predictive modeling, analytics, and collaboration across teams to optimize customer experiences and revenue.

The ideal candidate brings 5+ years of data analysis experience, familiarity with ETL, data mining, and statistical methods, and has exposure to cloud/data platforms and large-scale computing. This position is based in Pasadena, CA.

Qualifications

• 5+ years in data analysis, preferably in banking.
• Experience with ETL, data processing, database programming and analytics.
• Strong background in data mining and statistical analysis.
• Ability to understand various data structures and transform data.
• Proficient in pattern recognition and predictive modeling.
• Experience with Java, Python, or R is an asset.
• Familiarity with digital banking products.

Responsibilities

• Use predictive modeling to improve customer experiences, revenue, ad targeting and other business outcomes.
• Develop and execute data A/B testing framework and assess model quality.
• Coordinate with cross-functional teams to implement models and monitor outcomes.
• Create and use advanced machine learning algorithms and statistics: regression, distributions, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
• Analyze data from 3rd party providers: Google Analytics, Adwords, Adobe, etc.
• Use distributed data/computing tools to achieve business results: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL.
• Work with cloud and distributed computing architectures and data providers (S3, Spark, DigitalOcean, Google Analytics, Site Catalyst, Coremetrics, Adwords, etc.).

Skills

ETL

Data processing

Database programming

Data analytics

Data mining

Statistical analysis

Pattern recognition

Predictive modeling

Java

Python

R

Digital banking

Tools

Google Analytics

Adwords

Adobe

Map/Reduce

Hadoop

Hive

Spark

Gurobi

MySQL

S3

DigitalOcean

Crimson Hexagon

Facebook Insights

Job description

About the job Data Science Analyst r

Data Science Analyst needs 5+ years data analysis, banking experience

Data Science Analyst requires:

• Practical experience with ETL, data processing, database programming and data analytics
• Extensive background in data mining and statistical analysis
• Able to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java/Python or R an asset
• Digital banking

Data Science Analyst duties:

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop and execute upon data A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Create and use advanced machine learning algorithms and statistics: regression, distributions, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Work to analyze data from a wide variety of 3rd party data providers: Google Analytics, Adwords, Adobe, etc.
• Use distributed data/computing tools to achieve business results: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Work with cloud and distributed computing architectures, and data providers, e.g S3, Spark, DigitalOcean, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL