Senior Data Scientist

Summary

Join Known's Channel Data Science team as a Data Scientist or Senior Data Scientist, contributing to the development of innovative marketing measurement solutions and analytical tools. Collaborate with cross-functional teams to design, develop, and deploy statistical and machine learning models. Analyze large datasets to extract actionable insights and translate findings into compelling narratives. Champion advanced marketing modeling initiatives and mentor junior data scientists (Senior Data Scientist role). Leverage econometric techniques, statistical modeling, and machine learning to drive strategic marketing decisions. Known offers a hybrid work environment and a variety of benefits, including unlimited paid time off, 401k matching, annual bonuses, and a generous medical plan.

Requirements

• A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred
• Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning
• Experience utilizing Python and SQL
• Understanding of regression techniques, econometric modeling, and statistical inference methodologies
• Experience building data science software or analytical workflows
• 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience
• Experience or strong interest in marketing analytics solutions, with exposure to concepts like Marketing Mix Modeling (MMM), time series analysis, and panel data analysis
• 1+ years building data science software or analytical workflows
• 4+ years (with Masters) or 2+ years (with PhD) of hands-on experience. Candidates with a Bachelors degree and 5+ years of highly relevant experience may also be considered
• Proven experience (minimum 3+ years) in developing and deploying marketing analytics solutions, with specific expertise in Marketing Mix Modeling (MMM), time series analysis, and the analysis of panel data
• 3+ years building data science software or robust analytical workflows
• Leadership experience managing or mentoring junior data scientists
• Superb communication and presentation skills, with an ability to explain complex modeling concepts and results to non-technical stakeholders
• An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may include statistical modeling, machine learning, or econometric approaches
• Strong understanding of econometric principles, statistical inference, experimental design, and their practical application to marketing challenges
• Deep expertise in areas such as Marketing Mix Modeling, time series forecasting, panel data analysis, and customer lifetime value modeling
• Proven ownership of projects taken to completion, from conceptualization to deployment and impact measurement
• A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work
• Experience working on a tech team, with experience in cloud technologies, version control, etc
• Ability to prioritize time, work and effort while multitasking on multiple projects
• Collaborative attitude
• Self motivated and exhibits initiative
• Willing & able to learn quickly
• Abundant intellectual curiosity and integrity
• Desire to mentor and teach others, plus proven project leadership abilities

Responsibilities

• Design, develop, validate, and deploy statistical and machine learning models for marketing analytics, including Marketing Mix Models (MMM), customer segmentation, optimization, and lift studies
• Develop and apply quantitative techniques (e.g., econometric modeling, time series analysis, panel data analysis, causal modeling, experimental design, and various machine learning algorithms) to improve Known IP and create tools for Known's clients
• Analyze large-scale datasets, including panel data and time series data, to extract actionable insights regarding customer behavior, market trends, and campaign performance
• Collaborate with other data scientists and engineers to productionalize new models and analytical tools
• Work with client teams and strategists to translate model outputs and analytical findings into compelling narratives and actionable recommendations
• Stay current with advancements in marketing analytics, data science, and statistical modeling
• Lead the design and development of advanced modeling initiatives
• Mentor and guide other data scientists on the team, including upskilling them in advanced modeling techniques and marketing analytics best practices
• Drive innovation and identify opportunities for applying cutting-edge techniques in the marketing domain
• Manage multiple concurrent projects and serve as a technical leader on complex initiatives

Preferred Qualifications

• Experience in advertising or advertising technology is a strong plus
• Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred
• Portfolio of projects or case studies demonstrating successful application of advanced modeling techniques to solve complex marketing problems (preferred)

Benefits

• Unlimited paid time off
• 401k with company matching and no vesting period
• Annual bonuses
• Generous medical plan
• Paid parental leave