Applied scientist

TekWissen is a global workforce management provider offering strategic talent solutions. Our client is a global technology leader transforming e-commerce, cloud computing, digital streaming, and artificial intelligence with a customer-centric, innovation-driven culture.

About the role

Applied scientists are specialists with deep expertise in machine learning, speech recognition, natural language processing, computer vision, knowledge acquisition, and related fields. They apply scientific principles to assess the feasibility of new initiatives, develop new algorithms, and enhance existing ones to improve customer experience and impact. This is a 12-month temporary onsite assignment in Seattle, WA.

We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation. The ideal candidate has a passion for building data-driven products, formulating data insights, and executing complex projects to deliver business impact.

Responsibilities

• Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.
• Build and refine Customer Lifetime Value (CLV) models to inform acquisition targeting, retention strategies, and customer segment prioritization.
• 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.
• Partner with marketing teams to translate measurement insights into actionable recommendations for targeting, creative, and channel mix.
• Collaborate with data scientists, machine learning engineers, and business stakeholders to deliver measurement solutions to production.

About the team

The Marketing Science team applies scientific methods and research techniques to enhance understanding of consumer behavior, market trends, and marketing strategy effectiveness. The goal is to develop and advance theories and models for informed decision-making, provide insights into consumer processes, and explore emerging trends and technologies in marketing.

Qualifications

Basic Qualifications

• PhD, or Master's degree and 4+ years of experience in CS, CE, ML, Statistics, Economics, or related field.
• 3+ years of experience building machine learning models or developing algorithms for business application.
• 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 related language.

Preferred Qualifications

• 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.

Skills

• Causal Inference
• Experiment Design
• Cloud Computing Experience

Pay

$74.77 per hour.