Principal Engineer, Data Science & Machine Learning

Job Description

I. Solidify and scale the Leapfrog Data Science and Engineering Culture and Practice:

• 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)
  
  

II. Lead Customer Accounts Where HIPAA Compliance Expertise is Necessary to Succeed

• Lead current and future healthcare data-intensive projects that involve significant knowledge of healthcare interoperability and HIPAA compliance expertise to succeed.
• Responsible to work with team to lead projects that require intensive retail data analytics
  
  

III. Ongoing Stewardship Of Leapfrog Technology's Data Capabilities Team

• Work with other engineering leadership, and under the guidance of the Senior Vice President Engineering to hire, train, and deploy data engineers, machine learning engineers and data scientists
• Meet regularly with data team members in both the US and Nepal to develop their skills and mentor them as they work on client projects
• Lead the team with trainings and mentoring to evolve the team into a high-performing team of data scientists and machine learning engineers.
  
  

Job requirements

I. Education

• Bachelor’s degree in Electronics & Communication Engineering with 7.5 years of related experience.
  
  

II. Languages

• PL SQL
• T-SQL
• Python (Data/Analytics libraries)
• Shell Scripting (bash, ksh)
  
  

III. Databases

• Oracle
• MSSQL
• Snowflake
• Postgres
• MySQL
• ElasticSearch
  
  

IV. 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
  
  

V. ETL and Batch Processing Tools

• Oracle Data Integrator (ODI)
• SQL Server Integration Services (SSIS)
• Airflow
• Automic UC4
  
  

VI. Cloud & Containers

• AWS
  
  

VII. 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)
  
  

or

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• Afghanistan
  
  

Afghanistan

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