Data Scientist II

Concord USA•Multiple Cities, MO

18h•Remote

About The Position

Concord is seeking a Data Scientist for its growing Analytics practice. This client-facing consultant works closely with clients’ Marketing and Analytics delivery teams and Concord project leads, analysts, engineers, and data scientists. The role supports clients across descriptive, prescriptive, and predictive analytics and offers potential career growth in technical data and analytics, account leadership, and/or management. The position combines analytical expertise, business acumen, marketing context, and data storytelling. The successful candidate will design and implement technical solutions, communicate findings to technical and non-technical stakeholders, mentor junior team members, and manage projects with competing priorities. Knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics, and project management is relevant to success. Broad SQL or Python knowledge is required; advanced SQL and Python are must-haves. The role includes designing, developing, and maintaining scalable data pipelines and architectures; translating business requirements into technical solutions; optimizing data ingestion, transformation, and feature-engineering workflows; and collaborating with cloud architects on cost-effective, high-performance data solutions. Marketing analytics experience, preferably in CRM or channel analytics, is sought. The role is full-time employment with Concord, with a base salary of $90,000–$125,000. Candidates are preferred in Kansas City, though remote work in the United States is available; occasional office visits may be required. Candidates must be authorized to work legally in the United States without sponsorship now or in the future.

Requirements

At least 4 years in the Data & Analytics space, preferably in sales analytics and/or consulting.
Advanced SQL and Python skills.
Experience working with Big Data platforms, including Databricks, AWS, or Snowflake.
Proven experience designing KPIs and measurement frameworks for business performance, such as productivity, efficiency, or growth metrics.
A track record of presenting results and recommendations to executive-level audiences and influencing business decisions.
Strong analytical and critical-thinking skills, including the ability to structure ambiguous business questions and produce actionable analyses.
Ability to simplify complex data into insights the business can act on.
Ability to own projects end-to-end with minimal direction and anticipate stakeholder needs.
Strong attention to detail and commitment to data, reporting, and deliverable accuracy and integrity.
Ability to prioritize and manage multiple competing responsibilities under tight deadlines while delivering quality outcomes.
Experience collaborating with cross-functional teams across sales, operations, and data.
Strong understanding of statistics.
Must be authorized to work legally in the United States without sponsorship, now or in the future.

Nice To Haves

Experience with project management.
Understanding of marketing analytics, preferably CRM or channel analytics.
Experience developing visualization solutions in BI tools.
Experience with Tableau, Plotly, or QlikSense.
Knowledge of digital measurement, digital marketing, personalization, CDPs, and user experience.
Experience using AI-enabled analytics and reporting tools such as Claude or Cursor, and scaling AI-enabled solutions.

Responsibilities

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.
Support clients through descriptive, prescriptive, and predictive analytics.
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including executive-level audiences.
Mentor junior team members.
Manage projects with competing priorities and own projects end-to-end with minimal direction.
Design KPIs and measurement frameworks for business performance.
Develop visualization solutions in business intelligence tools.
Apply measurement planning, performance attribution, segmentation, and standard experimentation methods.
Use AI-enabled analytics and reporting tools and scale AI-enabled solutions.

Benefits

Health, dental, and vision insurance.
Employer contributions to Health Savings Accounts (HSA).
Flexible Spending Accounts (FSA) for healthcare and dependent care expenses.
$200 Lifestyle Spending Account (LSA).
Fully employer-paid short- and long-term disability insurance.
Employer-provided life and AD&D insurance, with optional additional voluntary coverage.
Employee Assistance Program (EAP).
Career growth opportunities and pathways for advancement and skill development.
Regular team-building events and company-sponsored activities.
Paid time off and paid company holidays for W2 salary employees.