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

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)