Decision Scientist

About Us

Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption.
Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones.

We are seeking a Decision Scientist for our growing Analytics practice. In this role, you will be working closely with clients' delivery teams from Marketing and Analytics, as well as the Concord delivery team of project leads, analysts, 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.
Theidealcandidatecombinesdeepanalyticalexpertise,business acumen,andapassionforstorytellingwithdata. Youwillsupportclientsthroughdescriptive,prescriptive,andpredictivestages. This role is best suited for someone who enjoys being at the intersection of analytics, communication, and strategy. You’ll be expected not only to design and implement technical solutions but also to communicate findings clearly to both technical and non-technical stakeholders, mentor junior team members, and manage projects with competing priorities.

• 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 — preferably CRM or channel analytics

• 3+ years in the Data & Analytics space, preferably with consulting experience.
  
  Experience with project management is a strong plus.
• Solid ability to translate between business needs and advanced analytic techniques. Our clients may be from Marketing, IT, or Analytics.
• Strong understanding of SQL & Python.
• Strong communication skills, verbal and written, and enjoys talking shop with others. Comfortable with both technically oriented and business-oriented audiences.
• Ability to problem-solve in a dynamic, changing environment. Ability to gather requirements and generate Data Science & Engineering tickets as needed.
• Ability to prioritize and manage multiple competing responsibilities while delivering quality outcomes.
• Track record of proactive, value-added contributions to internal and client teams.
• Collaborating with high-performing cross-functional teams
• A love for data, and sound belief in its possibilities.

Must-haves:

• SQL (strong enough to design solutions, collaborate with data architects and engineers, identify and communicate concerns about solutions not adequately addressing the marketing use case).
• Github
• Jira
• Databricks
• AWS (S3 minimum, Redshift & EMR Serverless nice to have)
• Snowflake

Nice to haves:

• ADAPT testing
• Jenkins
• Lucid Chart
• QuickETL
• Apache Atlas
• Snap Logic

• Health, Dental, and Vision Insurance:
  Comprehensive coverage to support your well-being.
• Employer Contributions to Health Savings Accounts (HSA):
  Helping you save for medical expenses.
• Flexible Spending Accounts (FSA):
  Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA).
• Disability Insurance:
  Short- and long-term coverage, fully paid by the employer.
• Life and AD&D Insurance:
  Employer-provided coverage, with options for additional voluntary coverage.
• Employee Assistance Program (EAP):
  Access to personal and professional support resources.
• Career Growth Opportunities:
  Pathways for advancement and skill development.
• Team Engagement
  
  Activities:…