Consultant, Data Science and Analytics

Filled
February 24, 2026

Job Description

Position Overview
We are seeking a Consultant in Data Science & Analytics to support cross-functional initiatives that transform complex data into actionable business insights. This hybrid role requires collaboration with senior data scientists, consultants, offshore teams, and external clients to deliver high-quality analytical solutions that drive measurable outcomes.

Key Responsibilities

  • Gather and diagnose business needs, translating them into analytical questions and scalable data solutions.
  • Architect and integrate data from multiple sources to enable advanced analytics and modeling.
  • Analyze large datasets to generate insights across paid media, organic channels, market trends, web behavior, and customer conversion journeys.
  • Develop, validate, and monitor predictive models, ensuring accuracy, robustness, and business relevance.
  • Create client-ready deliverables including ROI analyses, forecasts, simulations, and optimization recommendations.
  • Communicate complex analytical findings through clear storytelling tailored to technical and non-technical stakeholders.
  • Implement quality control processes, detect anomalies, and ensure ongoing model performance with new data streams.
  • Participate in client meetings and collaborate across teams to drive best practices and operational efficiency.

First 90 Days Expectations

  • Report to the Senior Manager of Data Science & Analytics.
  • Collaborate with internal teams and clients to identify insights and opportunities.
  • Establish processes to improve delivery efficiency and solution quality.

Required Qualifications

  • Bachelor’s degree in a quantitative or engineering field (Statistics, Data Science, Operations Research, Econometrics, Finance, Engineering, or related).
  • Strong written and verbal communication skills.
  • Ability to manage multiple projects in a fast-paced environment.
  • Collaborative mindset with experience working in cross-functional teams.
  • Willingness to work in a hybrid environment (minimum two days per week in office).

Preferred Qualifications

  • 5+ years of experience in quantitative analytics, particularly in marketing analytics or performance tracking (preferred but not required).
  • Experience mentoring or collaborating with junior data scientists and offshore teams.

Compensation & Benefits

  • Salary range: $80,845 – $132,600 (plus bonus eligibility).
  • Comprehensive benefits including flexible time off, parental leave, tuition reimbursement, retirement contributions with employer match, employee stock purchase plan, and career development resources.