Applied Scientist

Overview TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global technology leader that is transforming the way people shop, consume content, and interact with digital services. With a strong presence across e-commerce, cloud computing, digital streaming, and artificial intelligence, the company is known for its customer-centric approach, innovation-driven culture, and large-scale global impact. It continues to invest in building products and services that improve everyday life while supporting businesses, communities, and economies worldwide. Position: Applied scientist Location:Seattle, WA 98109 Duration: 12 Months Job Type: Temporary Assignment Work Type: Onsite Pay Rate: $74.77 - $74.77/Hr Job Description • 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: (a) assess the feasibility and timeline of new initiatives requiring significant inventions, and (b) 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 client's products and services. Why Is The Position Open • We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation who has deep passion for building data-driven products, ability to formulate data insights and scientific vision, and a proven track record of executing complex projects and delivering business impact. Key Job Responsibilities • 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. Work Environment • 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 to develop innovative approaches for addressing the challenges and opportunities in the field. Performanc Indicators • KPIs aren't really applicable to this science role. The work is exploratory and research driven success is measured by model validity, technical soundness, and solving the defined problem, not by traditional performance metrics. 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 Top 3 Must Have Hard Skills • Causal Inference, • Experiment Design, • Cloud Computing Experience Leadership Principles:: • Earn Trust • Bias for Action TekWissen Group is an equal opportunity employer supporting workforce diversity.