Data Scientist, Sr.

About The Company AgileEngine is an Inc. 5000 company renowned for creating award-winning software solutions tailored for Fortune 500 brands and innovative startups across more than 17 industries. Our expertise spans application development, artificial intelligence, machine learning, and data analytics, positioning us as a leader in delivering cutting-edge technological solutions. Our people-first culture emphasizes growth, collaboration, and innovation, earning us multiple awards for being one of the best places to work. We are committed to fostering an environment where talented professionals can thrive, make impactful contributions, and advance their careers. About The Role We are seeking a highly skilled Senior Data Scientist to join our dynamic team. In this role, you will be responsible for executing rigorous statistical analyses, multi-goal tuning, and validating algorithms within client-specific Meridian Marketing Mix Modeling (MMM) frameworks. Your primary focus will be translating complex, noisy marketing signals and low-resolution data matrices into reliable, multi-objective spend recommendations. The ideal candidate will formulate heuristic baseline models for high-variance datasets, ingest structured data from upstream pipelines for client-specific experimentation, and utilize Python alongside advanced SQL techniques within AWS Athena and PostgreSQL environments. This position offers an exciting opportunity to work on impactful projects that influence marketing strategies for top-tier clients while collaborating with cross-functional teams in a fast-paced, innovative environment. Qualifications 5-7 years of professional experience in data science, with a focus on time-series analysis, prior distributions, or high-complexity attribution modeling Proven experience applying or testing the Meridian MMM framework on real-world datasets Strong proficiency in Python, emphasizing tools that support static type systems and structured schemas Expertise in operating within Mac/Linux terminal environments, utilizing Bash, shell utilities, and text-based tools Advanced SQL skills for extracting and preparing data from cloud systems such as AWS Athena and PostgreSQL Excellent communication skills with the ability to defend technical and mathematical methodologies confidently Experience working in cloud-based data environments and collaborating with engineering teams Responsibilities Expand and enhance framework configurations to incorporate multiple client objectives, including separating mid-funnel brand awareness metrics from immediate revenue targets Develop robust heuristic models and backup strategies to generate valid insights from limited or high-variance datasets Safely ingest structured data from upstream pipelines for client-isolated experimentation and analysis Leverage modern AI-assisted IDE tools to accelerate data transformations, ensuring strict validation before deployment Collaborate daily with internal engineering teams via Slack and Google Meet to resolve pipeline ambiguities and technical dependencies Validate analytical models and algorithms to ensure accuracy and reliability in marketing spend recommendations Maintain documentation of methodologies, models, and processes for transparency and reproducibility Benefits Unlimited growth opportunities through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget Competitive compensation packages reflecting your skills and contributions, with regular performance reviews Remote work flexibility with adaptable hours to support work-life balance and autonomy Participation in meaningful, modern projects utilizing cutting-edge technologies alongside global teams and leading brands Supportive and collaborative company culture that values ideas, innovation, and contributions without micromanagement Access to local well-being programs and tailored support to promote health and work satisfaction Equal Opportunity AgileEngine is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other protected status. All qualified applicants will receive consideration for employment without regard to any such characteristics.