Principal Engineer, Data Science & Machine Learning

Employer: Leapfrog Technology Inc

Job Location: Seattle, WA

Pay Range: $156,138.00 to $161,138.00 per year

Job Type: Full Time

Travel: up to 10% to client sites

International Travel: up to 5% to Nepal and/or India

Job Duties:

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

Required Skills:

Technical Skills Required:

Languages: PL SQL, T-SQL, Python (Data/Analytics libraries), Shell Scripting (bash, ksh)
Databases: Oracle, MSSQL, Snowflake, Postgres, MySQL, ElasticSearch
Bl/Reporting Tools: Power BI, Tableau, Oracle Business Intelligence Enterprise Edition (OB IEE), Oracle BI Publisher (BIP), Microstrategy, SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), Google Data Studio, Meta base
ETL and Batch Processing Tools: Oracle Data Integrator (OD!), 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)

Min Requirements: Bachelor in Electronics & Communication. Engineering + 7.5 yrs of related experience

Benefits: Medical Dental PTO Public Holidays Bonus and Equity 401K