Job Description

About iSOCRATES

iSOCRATES advises on, builds, manages, and owns mission-critical Marketing, Advertising and Data platforms, technologies, and processes as the Global Leader in MADTech Resource Planning and Execution(TM) serving publishers, marketers, agencies and enablers.

iSOCRATES has two lines of business: Products (MADTechAI(TM)) and Services (Consulting: Strategy and Operations; Managed Services).

MADTechAI is the Unified Marketing, Advertising and Data Decision Intelligence Platform. Purpose-built to Deliver Speed to Value serving B2C and B2B marketers, agencies, publishers, and their enablers.

iSOCRATES is staffed 24/7/365 with its own proven specialists who save partners money, time, and achieve transparent, accountable performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training.

The company is headquartered in Saint Petersburg, Florida, U.S.A. with its global delivery centers in Mysuru and Bengaluru, Karnataka, India. :

iSOCRATES is looking to add a Senior Data Scientist to its growing Data Science team. The Sr. Data Scientist will lead the team that defines, describes, architects, reports on, analyzes, predicts, and proscribes all audience, campaign and related programmatic media trading data as well as select partner-focused Managed Services and Outsourced Services on behalf of select supply-side and demand-side partners.
The Sr. Data Scientist will support all managers and teammates in their day-to-day media trading desk activities across a variety of digital and offline media channels including, but not limited to display, mobile, video, social, native, and advanced TV/Audio ad products. 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
• Expertise in propensity modeling, MMM (Media Mix Modeling), MTA (Multi-Touch Attribution), RFM (Recency, Frequency, Monetary) analysis, non-parametric methods, and Bayesian statistics.
• Hands-on experience in Generative AI, Large Language Models and Natural Language Processing.
• 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 a requirement
• Hands-on knowledge of DSPs, SSPs, 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 is also required to be successful in this position
• Excellent communication skills in English are required plus English presentation and partner relationship building skills is required
• Designs and delivers actionable partner-focused results proactively and on-demand
• Conceptualizes, architects, builds, manages and delivers unique, innovative data-driven media, marketing, analytics and reporting solutions for use by the Data Science team, iSOCRATES teams and iSOCRATES partner including the automation of iSOCRATES products
• 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 optimizations
• Work directly with the Product and System development teams to design products for partner 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, and anomalous trading behavior as well as opportunities to create tradeable ad products and approaches
• Working directly with DMPaaS, 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, and anomalous trading behavior as well as opportunities to create tradeable ad products and 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 analysed for successful performance as well as keeping internal teams informed of overall company and business partner performance patterns and opportunities.

Qualifications:

• Graduate or Master's and/or Ph.D., required in Statistics/Engineering/Science/Business Mastery of math, statistics.
• Hands on Data collection, storage, management, mining and modeling, business intelligence, digital analytics and tools, marketing science (effectiveness and attribution), 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)
• At least 5 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 2 years of experience In Generative AI, Large Language Models and Natural Language Processing.
• Minimum 3 years Publisher and/or Advertiser Audience Data Analytics and Modeling experience desired.
• 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 creation of 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: AppNexus, Salesforce Audience Studio (formerly known as Salesforce DMP), Adobe Audience Manager, Oracle Audience Manager, LOTAME, Google DFP/DFA/DBM, AdX, TMS, Analytics, FreeWheel, JW Player, tag creation and tag management, Operative, The TradeDesk, MediaMath, Beeswax, meta-DSPs, and/or multi-SSP configurations
• Interest and ability to work in a fast-paced operation on the analytics and revenue side of our business
• Open for relocation to Mysuru/ Bengaluru