Principal Engineer, Data Science & Machine Learning

Job Duties:

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).

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.

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
• 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 (RDW), Oracle Retail Merchandise Operations Management (MOM) Suite, Oracle Retail Store Inventory Management (SIM)

Minimum Requirements:

• Bachelor in Electronics & Communication Engineering + 7.5 yrs of related experience

Benefits:

• Medical
• Dental
• PTO
• Public Holidays
• Bonus and Equity
• 401K