iSOCRATES has deep Data Science and Data Engineering subject matter teams and experience focused on serving buyers and sellers 24/7/365 worldwide. iSOCRATES specifies, implements, manages, optimizes, and reports on Ad Servers, Header Bidders, DSPs/SSPs/DMPs/CDPs, CRM, Offline data and Video Platforms.
Data science is a broad and deep discipline. It is essential to select the right approaches for each client’s unique business needs, and to address the unique challenges of each client’s data.
iSOCRATES Data Science & Analytics team will turn your complex and confusing data into useful insights. We combine information from various sources to develop effective solutions for businesses to drive the growth & efficiency. We work across publishers, agencies and advertisers on all size datasets.
Our combination of data science expertise with business acumen provides clients new and powerful ways to understand, activate and monetize their data.
We design, continuously evaluating potential approaches, draft solutions for interpretability and practical use, build features, algorithms, and determine metrics which are critical for building robust production solutions.
iSOCRATES Data Science works together with customers to address your specific needs, leveraging well-known methodologies and a rich set of technologies tailored to your solution requirements and goals. Our solutions provide businesses a competitive advantage through a systematic and scientific knowledge discovery.
iSOCRATES Data science brings intelligence to many aspects of programmatic advertising technology.
It provides marketers a more powerful and personal digital experience for consumers by making sense of the data created by people engaging with interconnected devices and apps. It provides the tools that enable advertisers to reach interest groups and audiences that resonate with their business.
It allows publishers to understand and value their audiences and inventory more effectively in real time.
Our Data Scientists work closely with engineering and product teams on a range of problems around auction/campaign dynamics, advertising ROAS and yield, targeting, conversion, and marketplaces.
Detailed campaign performance and optimization, including both Demand-side and Supply-Side Supply Chain Optimization and Data Enhanced Media strategy Leverage and optimize ad trading strategies to enhance supply-side and demand-side trading performance
R, Python, C++, Java, MySQL, Distributed Computing, Hadoop, Map/Reduce, Hive, Pig, Spark, NoSQL, Perl, SAS, Excel, VBA, Cloud computing, Amazon Web Services.
Experience in delivering scalable analytics solutions for any size, dynamic data sets
Experience in building intelligent systems by combining complex integrations with Data Science and Analytics to drive business advancing solutions
Supervised and unsupervised learning, Linear Regression, Logistic Regression, Decision Trees, KNN (K- Nearest Neighbors), K-Means/Hierarchical Clustering, Naïve Bayes, Dimensionality Reduction, Principal Components Analysis
Random Forests, Support Vector Machines, Deep Learning, Stochastic gradient descent, Pattern Recognition, Gradient Boosting, XGBOOST, Neural Networks, Ensemble models
Bayesian Methods, Non Parametric Modeling, ANOVA, Time Series, Hidden Markov Model, Monte Carlo Simulations, agent-based modeling, A/B testing etc.