EX Squared is hiring a Senior Data Scientist (Remote - US)

This position is presented by Jobgether on behalf of a collaborating organization. We are seeking a Senior Data Scientist in the United States. This Senior Data Scientist opportunity centers on progressing data-informed marketing evaluation and refinement. You will construct, improve, and implement enterprise-level models that evaluate intricate media investments and generate meaningful insights for clients. The role encompasses research, algorithmic development, automation, and cross-team engagement with Product, Engineering, and Customer Success departments to deliver precise, extensible solutions. You will transform sophisticated statistical and machine learning outputs into comprehensible recommendations, directly contributing to business outcomes and client achievements. The position demands robust analytical proficiency, strategic problem-solving capabilities, and hands-on expertise in marketing analytics, causal reasoning, and sophisticated modeling methodologies. Ideal candidates excel in collaborative, innovative, and client-focused environments. Accountabilities: - Construct, implement, and optimize Marketing Mix Models and alternative marketing attribution frameworks for enterprise clients. - Conduct investigative research on advanced statistical and machine learning approaches to enhance modeling precision and automation. - Synthesize media variables, pricing indicators, promotional strategies, macroeconomic elements, and causal inference signals into scalable data science solutions. - Engage collaboratively across Product, Engineering, and Customer Success teams to implement data-driven enhancements. - Convert complex data outputs into actionable recommendations for internal teams and client stakeholders. - Facilitate ongoing monitoring, validation, and quality assurance of deployed models and tools. - Provide specialized guidance on data science findings, methodological approaches, and industry best practices. Requirements: - 6+ years of data science experience, including 2+ years directly developing Marketing Mix Models or related marketing attribution models. - Bachelor's degree or higher in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline. - Proficiency in Python, SQL, and statistical modeling techniques (including Bayesian inference, regression modeling, causal inference). - Experience developing scalable data science products, encompassing testing, debugging, and deployment processes. - Strong analytical, problem-solving, and critical thinking capabilities. - Exceptional communication skills, capable of explaining technical concepts to non-technical audiences. - Comfortable interfacing with clients and internal stakeholders to present insights and recommendations. - Independent, innovative, and capable of managing uncertainty while driving results. - Commitment to diversity, integrity, and collaborative teamwork. Preferred Qualifications: - Experience with AI or automation tools in marketing measurement. - Practical experience with extensive data pipelines and high-frequency modeling. Benefits: - 100% remote work with highly flexible arrangements. - Competitive total compensation and adaptable paid time off. - Opportunities to contribute to social impact initiatives. - Collaborative and diverse organizational culture. - Exposure to award-winning, cutting-edge marketing analytics technology. - Professional development in an innovative, data-driven environment. Jobgether is a Talent Matching Platform that partners with global companies to efficiently connect exceptional talent with ideal opportunities through AI-driven job matching. When you apply, your profile undergoes an AI-powered screening process designed to identify top talent efficiently and fairly. Our AI comprehensively evaluates your CV and LinkedIn profile, analyzing skills, experience, and achievements. It compares your profile against the job's core requirements and historical success factors to determine your match score. Based on this analysis, we automatically shortlist the top 3 candidates with the highest role compatibility. When necessary, our human team may conduct an additional manual review to ensure no exceptional profile is overlooked. The process remains transparent, skills-focused, and unbiased — concentrating exclusively on your role compatibility. Upon shortlist completion, we directly share candidates with the job's originating company. The final decision and subsequent steps are determined by their internal hiring team. Thank you for your interest! #LI-CL1