Job Description iSOCRATES is looking to add a Sr. Marketing Scientist to its growing Data Science team. The Marketing Scientist will lead the team that defines, describes, architects, reports on, analyzes, predicts, and proscribes audience, campaign and related media and marketing as well as select partner-focused Consulting and Managed Services engagements on behalf of supply-side and demand-side partners. The Marketing Scientist will support all managers and teammates in their day-to-day marketing and media activities across a variety of digital and offline media and marketing channels including, but not limited to display, mobile, video, social, native, email, direct mail, and advanced TV/Audio The Marketing Scientist will report directly to the Sr. Director, Product. iSOCRATES is seeking qualified candidates to work on-site, full-time in Bengaluru or Mysuru and who are eligible to travel to the U.S. Responsibilities Hands-on experience with media and marketing data and analytical teams. Hands-on experience with structured and unstructured audience, pricing and contextual data, analytics, and reporting. Hands-on experience with various rigorous statistical, econometric and Big Data methods to define requirements, design analytics solutions, analyze results, identify problems/opportunities, and optimize economic outcomes. Hands-on experience architecting and managing dynamic data from multiple disparate sources. Experience supporting programmatic, audience, CRM, DSP, DMP, and SSP systems is required. Strong analytical, data modeling, audience and price action data-focused sensibilities and skills is required. Hands-on knowledge of DSPs, SSPs, CDPs, DMPs is desired along with good understanding of integrating digital advertising and marketing data as it relates to creation, implementation, analysis, modeling, yield and optimization of supply and demand. The ability to manage your own work, multitask and work well with U.S., offshore and local team members must also be successful in this position. Excellent written and oral communication skills in English are needed plus English presentation and partner relationship building skills is required. Building and leading productive, service-oriented relationships between the Data Science department and other iSOCRATES departments and between the department and external stakeholders. Embodying, conveying, and sustaining Company Values, Mission, and Vision to direct and indirect reports. Data requirements, relationships, design, architecture, models, management, and evolution. Data collection implementations, management, quality assurance, validations, and optimizations Design and architecture of data collection, storage and analytics systems, specification, deployment, and use of tools for in-depth, complex analysis, predictive models, reporting and visualization builds, deployments, management, maintenance, and optimization. Expertise in propensity modeling, MMM (Market Mix Modeling), MTA (Multi-Touch Attribution), RFM (Recency, Frequency, Monetary) analysis, non-parametric methods and Bayesian statistics. Work directly with the Product and System development teams to design products for partners and operations on systems architected, implemented, and managed by the data and analytics, development, and support teams. Key deliverables for this role will be to analyze audience profiles, segments and attributes, revenue, value, bid behavior, bid density, anomalous trading behavior, and opportunities to create tradeable ad products and approaches. Working directly with BI/AI developers and engineers, traders, yield, operations, finance, sales, business development, product development, data science team members to ensure reliable data quality, completeness, predictions, and yield. Additional deliverables for this role will be to analyze ad inventory, eCPM, fill rate, audiences, anomalous trading behavior, exchange and customer online and offline purchase data, and opportunities to create tradeable ad/marketing approaches. Designing analytics dashboards and visualizations to monitor performance and develop optimizations of programmatic and audience informed media campaigns across business partners media channels: Website, Mobile Applications, Social Media platforms and more. Creating and delivering digital media audience insights and opportunities via advanced predictive modeling and analysis with the goal of offering real-time insights to key stakeholders ensuring campaigns are effectively analyzed for successful performance as well as keeping internal teams informed of overall company and business partner performance patterns and opportunities. Required/Desired Skills/Experience At least 7 years in Data and Predictive analytics design, build, modeling, mining, analysis, reporting and optimization with Publisher-side and/or Agency experience at data/tech provider, major media firm and/or Agency and/or Exchange and/or Ad Network. Minimum 3 years Publisher and/or Advertiser Audience Data Analytics and Modeling experience desired. Master’s and/or Ph. D, required in Math/Statistics/Engineering/Science/Business. Mastery of math, statistics, data collection, storage, management, mining and modeling, business intelligence, digital analytics and tools, marketing science (effectiveness and attribution), MMM, media research (RFM), web analytics (Google and/or Adobe), logistic regression, customer segmentation and lifetime value, persona building, scoring, Bayesian methods, parametric and non-parametric methods, and Machine Learning/Deep Learning (i.e., Python, R, mldb.ai, scikit and related ML libraries, Hadoop, Spark, MySQL, APIs, AWS S3). Experience in data architecture, databases, ETL, SQL, analysis, reporting and visualization, cloud-based distributed computing and predictive modeling is required. Strong understanding of digital advertising and digital data: website and email display advertising, social media, audience identification and targeting, etc. Experience building first-party and second-party data strategies, including creating hierarchies and first-party data attributes and segments. Experience designing, building, targeting, and managing DMP-based Audience Segments from 1st/2nd/3rd Party Data. Experience with at least some of the following programmatic, auction-based media systems: Xandr, Adobe Audience Manager, Oracle Audience Manager, LOTAME, Google DFP/DFA/DBM, AdX, TMS, Adobe Analytics, Google Analytics, FreeWheel, JW Player, tag creation and tag management, Operative, The TradeDesk, Beeswax, meta-DSPs, and/or multi-SSP configurations. Interest and ability to work in a fast-paced operation on our business's analytics and revenue side. Open for relocation to Bengaluru/Mysuru.
