Data & Tech Global - United States

Business Overview 

KINESSO is the technology-driven performance marketing agency that sits at the very heart of IPG Mediabrands, providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at www.KINESSO.com.

Position Summary

We are looking for a Sr Data Scientist to create cutting edge solutions for our Interact software platform, specializing in application of AI and ML to real-time bidding, investment decisions, and inflight campaign optimization.  

The ideal candidate has hands-on experience implementing solutions in a modern architecture stack and enjoys working in a startup-like environment, both independently and with cross-functional teams.  

Responsibilities

Execute the Strategy: 

• Collaborate with a global team of data scientists, engineers, and product managers to deliver media measurement and optimization products to hundreds of users.  

• Apply AI, ML, and optimization algorithms to cross-campaign optimization, bidder algorithms, and data-driven investment decision making in a world of increasing media fragmentation and privacy-centric measurement.  

• Build data science with engineering toolkits for job orchestration, MLOps, CI/CD, RESTful APIs, and scalable infrastructure.  

• Scale data science across our agencies’ client portfolio. Data science should be simple, easy-to-explain, and anchored in business value.  

Innovation and Development: 

• Push the boundaries of machine-assisted human decisioning, for example, automated optimization recommendations that supercharge the decision-making ability of campaign managers and media investment teams.  

• Foster a culture of innovation, encouraging the exploration of new techniques and technologies that enhance and scale our product capabilities. 

Collaboration and Communication: 

• Move in lockstep with team members across Data Science, Product, and Engineering, ensuring clear and effective communication of product roadmaps, statuses, challenges, and successes. 

• Collaborate closely with product teams to understand their needs and integrate AI/ML technologies into our products that meet those needs, driving value and efficiency. 

Desired Skills & Experience

Key technical skills: 

• Python: Advanced knowledge of Python is essential (Numpy, Pandas,…), with the ability to write efficient, clean, and commented code for model and package development, automation processes and application development. Experience writing RESTful APIs is a plus, e.g., FastAPI.  

• Machine Learning: Expertise in machine learning, including regression, classification, and ensemble methods like Random Forest and Gradient Boosting. Skilled in model development and feature engineering. Experience with Deep Learning is a plus. 

• Optimization: Proven familiarity and hands-on experience with optimization techniques and tools a big plus. Including but not limited to proficiency in software such as CPLEX, Gurobi, AMPL, GAMS or experience crafting custom optimization routines, employing methods such as genetic algorithms and stochastic gradient descent. 

• Statistical Analysis: Knowledge of Bayesian modelling is a preferred, while experience with Pyro