Leapfrog Technology, Inc.
Principal Engineer, Data Science & Machine Learning
Leapfrog Technology, Inc., Seattle, Washington, us, 98127
Principal Engineer, Data Science & Machine Learning
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Principal Engineer, Data Science & Machine Learning
role at
Leapfrog Technology, Inc.
Responsibilities
Lead definition and implementation of data, data science, and machine learning competency definitions at every level, and align with recruiting initiatives.
Manage the development lifecycle for data-centric projects using data to drive continuous improvements, with a strong focus on meeting the team's commitments given evolving business priorities and market/customer needs.
Lead the development of data-driven solutions, products and proofs of concept to acquire new business opportunities.
Drive ongoing improvement in functional excellence and best practices (design sessions, code reviews, automation etc).
Qualifications Education
Bachelor’s degree in Electronics & Communication Engineering with 7.5 years of related experience.
Languages
PL SQL
T-SQL
Python (Data/Analytics libraries)
Shell Scripting (bash, ksh)
Databases
Oracle
MSSQL
Snowflake
Postgres
MySQL
ElasticSearch
BI / Reporting Tools
Power BI
Tableau
Oracle Business Intelligence Enterprise Edition (OBIEE)
Oracle BI Publisher (BIP)
Microstrategy
SQL Server Reporting Services (SSRS)
SQL Server Analysis Services (SSAS)
Google Data Studio
Metabase
ETL and Batch Processing Tools
Oracle Data Integrator (ODI)
SQL Server Integration Services (SSIS)
Airflow
Automic UC4
Cloud & Containers
AWS
Retail Products
Robling (Snowflake Retail Data Model)
Oracle Retail Analytics (RA)
Oracle Retail Data Warehouse (ROW)
Oracle Retail Merchandise Operations Management (MOM) Suite
Oracle Retail Store Inventory Management (SIM)
#J-18808-Ljbffr
Principal Engineer, Data Science & Machine Learning
role at
Leapfrog Technology, Inc.
Responsibilities
Lead definition and implementation of data, data science, and machine learning competency definitions at every level, and align with recruiting initiatives.
Manage the development lifecycle for data-centric projects using data to drive continuous improvements, with a strong focus on meeting the team's commitments given evolving business priorities and market/customer needs.
Lead the development of data-driven solutions, products and proofs of concept to acquire new business opportunities.
Drive ongoing improvement in functional excellence and best practices (design sessions, code reviews, automation etc).
Qualifications Education
Bachelor’s degree in Electronics & Communication Engineering with 7.5 years of related experience.
Languages
PL SQL
T-SQL
Python (Data/Analytics libraries)
Shell Scripting (bash, ksh)
Databases
Oracle
MSSQL
Snowflake
Postgres
MySQL
ElasticSearch
BI / Reporting Tools
Power BI
Tableau
Oracle Business Intelligence Enterprise Edition (OBIEE)
Oracle BI Publisher (BIP)
Microstrategy
SQL Server Reporting Services (SSRS)
SQL Server Analysis Services (SSAS)
Google Data Studio
Metabase
ETL and Batch Processing Tools
Oracle Data Integrator (ODI)
SQL Server Integration Services (SSIS)
Airflow
Automic UC4
Cloud & Containers
AWS
Retail Products
Robling (Snowflake Retail Data Model)
Oracle Retail Analytics (RA)
Oracle Retail Data Warehouse (ROW)
Oracle Retail Merchandise Operations Management (MOM) Suite
Oracle Retail Store Inventory Management (SIM)
#J-18808-Ljbffr