• Independently perform data analytics (ranging from data analysis, regression to machine learning) • Present complex concepts in a format digestible by a diverse audience across the organization • Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses • Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices • Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified • Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics • Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting • Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision

Role Description We’re looking for a Senior Data Scientist to help shape MNTN’s sovereign identity data backbone powering targeting, bidding, measurement, and cross-device attribution for Performance TV marketing. In this role, you’ll develop the methodologies, models, and graph-based approaches that unify identity signals across fragmented data sources and improve the accuracy, scalability, and interpretability of identity resolution. This is a hands-on role for someone excited by large-scale data science, AI-assisted development, and deep research in graph-based entity resolution. - Design and improve graph-based approaches for identity resolution across devices, households, and identifiers which improve match quality, coverage, and stability across a rapidly changing identity landscape. - Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows. - Contribute production-grade code to shared repositories, using strong engineering practices to build clear, scalable, and maintainable systems. - Define validation strategies and measure model performance and business impact on targeting, measurement, and attribution. - Help shape the team’s approach to identity science and partner across Engineering, Product, and Analytics to deliver production-ready solutions. - Leverage LLMs, AI editors (Cursor, Copilot, Claude Code), and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration. - Apply privacy-by-design principles to ensure identity science work is auditable, compliant, and aligned with governance standards. Qualifications - 5+ years of experience in data science, machine learning, or applied research working with large-scale datasets in production. - Strong experience building identity graphs, entity resolution systems, record linkage pipelines, or related graph-based matching systems. - Deep expertise in Scala, Spark, SQL, and/or Python for distributed processing, model development, and experimentation. - Strong foundation in applied statistics, machine learning, graph algorithms, clustering, probabilistic matching, and model evaluation. - Experience productionizing data science solutions in partnership with engineering, including testing, monitoring, and reproducibility. - Experience mentoring data scientists and helping define technical direction across a team. - Comfortable with AI-assisted workflows and modern development tools, including LLMs. - Deep ownership mindset - you care about correctness, explainability, scalability, observability, and maintainability. - Entrepreneurial, customer-first mindset - you connect identity science quality to marketing performance and attribution accuracy. Requirements - Experience in adtech, martech, measurement, attribution, or privacy-sensitive consumer data environments. - Hands-on experience with Google Cloud Services and cloud-native data and ML tooling such as BigQuery, Dataproc, GCS, and Kafka. - Experience with graph algorithms and techniques such as label propagation, connected components, community detection, graph embeddings, and/or link prediction. - Familiarity with privacy-enhancing technologies, data governance practices, and evolving identity standards. Benefits - 100% remote within the US - Flexible vacation policy - Annual vacation allowance for travel related expenses - Three-day weekend every month of the year - Competitive compensation - 100% healthcare coverage - 401k plan - Flexible Spending Account (FSA) for dependent, medical, and dental care - Access to coaching, therapy, and professional development Company Description MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue. - Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. - As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.

• Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. • Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests. • Prompt models to complete complex data science tasks and review the accuracy of generated responses. • Label, proofread, and improve machine-written and human-written software engineering-related outputs. • Report quality and performance trends related to model/agent behaviour and project assignments.

Role Description We are seeking a strategic, client-facing Associate Director to lead media analytics and measurement. This role is responsible for turning data into clear, actionable insights that drive campaign optimization, media investment decisions, and future planning. The Associate Director partners closely with media, strategy, and client teams to ensure analytics moves beyond reporting to inform performance and shape growth strategy, while advancing automation and scalable measurement frameworks. Responsibilities - Lead end-to-end media analytics and measurement strategy across campaigns - Translate performance data into actionable insights that drive optimization - Develop measurement frameworks and learning agendas aligned to goals - Deliver audience, competitive, and cross-channel insights to inform strategy - Ensure dashboards and outputs are polished, intuitive, and decision-ready - Mentor team members to elevate work from reporting to insight generation Core Capabilities (Strategy, Analytics & Tools) - Leads insight-driven measurement strategies tied to business outcomes - Identifies key performance drivers, gaps, and growth opportunities across campaigns - Develops and operationalizes measurement frameworks connecting media, audience, and business KPIs - Synthesizes cross-channel data into clear insights that inform optimization and planning - Leverages tools (CM360, Meta, Adobe/GA4, Tableau/Looker, GCP, Funnel.io) to generate insights at scale - Uses automation to reduce manual reporting and accelerate speed-to-insight - Applies advanced methods (testing, attribution, MMM) when needed to solve key business questions - Ensures strong data quality, taxonomy, and governance Communication & Client Leadership - Translates complex data into clear, concise insights that drive action - Leads client conversations focused on implications, tradeoffs, and next steps—not reporting - Delivers polished, executive-ready storytelling and presentations - Acts as a trusted advisor to clients, shaping strategy through data-informed recommendations - Brings proactive insights, trends, and opportunities to clients and internal teams - Aligns analytics with media and strategy to ensure insights translate into action - Coaches team members to elevate deliverables from data output to strategic recommendations Qualifications - 7+ years of experience in media analytics, marketing analytics, or data science, preferably within a digital or paid media environment - Strong expertise in paid media measurement, KPIs, and performance optimization across channels - Proven ability to translate data into clear insights and actionable recommendations that influence business decisions - Experience developing measurement frameworks, learning agendas, and performance strategies - Advanced proficiency with analytics and visualization tools (e.g., Adobe Analytics, GA4, Tableau, Looker) - Experience with data transformation, automation, and pipeline tools (e.g., SQL, GCP, Funnel.io) - Strong communication and storytelling skills with experience presenting to senior partners or clients - Ability to lead projects and mentor teams, ensuring delivery of high-quality, data-driven outputs Benefits - Paid Family Care for parents and caregivers for 12 weeks or more - Monetary assistance and support for Adoption, Surrogacy and Fertility - Monetary assistance and support for pet adoption - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance - Tuition Assistance - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more - Matching Gifts programs - Flexible working arrangements - ‘Work Your World’ Program encouraging employees to work from anywhere - Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility) - Business Resource Groups that support multiple affinities and alliances