Data Scientist

Data Scientist

We are seeking a data scientist with a strong background in marketing measurement, causal inference, and experimentation who has a deep passion for building data-driven products, the ability to formulate data insights and scientific vision, and a proven track record of executing complex projects and delivering business impact.

Applied scientists are specialists with deep expertise in areas such as machine learning, speech recognition, natural language processing, computer vision, knowledge acquisition, etc. They apply scientific principles in their area of expertise and related fields to:

• Assess the feasibility and timeline of new initiatives requiring significant investments.
• Develop new algorithms or enhance existing algorithms for significantly improving the customer experience/impact.

They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving products and services. Come be a part of a rapidly expanding $35 billion global business. At Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space, developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Business to buyers and sellers of all sizes and industries. Unlock your career potential.

The Marketing Science team applies scientific methods and research techniques to enhance our understanding of AB consumer behavior, market trends, and the effectiveness of marketing strategies. Our goal is to develop and advance theories and models that can be used to make informed decisions in marketing and to provide insights into consumer decision-making processes. Additionally, we seek to identify and explore emerging trends and technologies in marketing and develop innovative approaches for addressing challenges and opportunities in the field.

Key job responsibilities include:

• Marketing measurement: Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.
• Customer lifetime value (CLV): Build and refine CLV models to inform acquisition targeting, retention strategies, and customer segment prioritization.
• Causal inference & experimentation: Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of marketing campaigns.
• Campaign optimization: Partner with marketing teams to translate measurement insights into actionable recommendations for targeting, creative, and channel mix.
• Cross-functional collaboration: Work with data scientists, machine learning engineers, and business stakeholders to deliver measurement solutions to production.

Basic qualifications include:

• PhD or Master's degree and 4+ years of experience in CS, CE, ML, Statistics, Economics, or a related field.
• 3+ years of experience building machine learning models or developing algorithms for business applications.
• Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls).
• Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2).
• Experience programming in Python, R, or a related language.

Preferred qualifications include:

• PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field.
• 5+ years of experience building marketing measurement models (MMM, CLV, multi-touch attribution).
• Experience designing and analyzing A/B tests and geo experiments at scale.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science).
• Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123