ABOUT US

Concord isn’t your typical consulting firm; we’re an execution focused company passionate about delivering results. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize product offerings through seamless integration, optimization, and activation of technology and data.
Our services and solutions include Digital Experience (Salesforce, Headless Commerce, UI/UX), Data and Analytics (Snowflake, Databricks, Martech Analytics), and Engineering and Application Services (Application Modernization, Greenfield Apps, Portal Buildout, etc.).

ABOUT THE ROLE

We are looking for a data-savvy, insights-driven Data Science Engineer to join our growing Data & Analytics practice. In this role, you will be a member of the client delivery team working closely with clients from Marketing and Analytics, as well as the Concord delivery team of project leads, analytics, engineers, and data scientists. This is a client-facing consultant role with room to grow your career along one of the following tracks: technical data & analytics, account leadership, and/or management.
The ideal candidate combines deep analytical expertise, business acumen, and a passion for storytelling with data. You’ll work across a range of marketing channels, customer segments, and lifecycle stages to generate insights, build predictive models, and influence strategy. You will support clients through descriptive, prescriptive, and predictive stages.
Knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics, and a strong focus on project management is needed to be successful. A broad understanding of SQL or Python will be required for the role.

WHAT YOU WILL BE DOING

• Design, develop, and maintain scalable data pipelines and architectures.
• Partner with data scientists, engineers, and business stakeholders to define use cases and translate requirements into technical solutions.
• Optimize workflows for data ingestion, transformation, and feature engineering.
• Collaborate with cloud architects to design cost-effective, high-performance data solutions.
• Understanding of marketing analytics – how CDPs are used for personalization.