Principal Engineer, Data Science & Machine Learning

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.

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

• Elastic Search

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)

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