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 Senior Data Scientist to create cutting edge solutions for our Marketing Intelligence Engine, specializing in media measurement and 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 time-series econometrics to improve ROI measurement of media 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 what is possible in digital attribution and measurement, for example, using Bayesian modeling techniques in realms of sparse data and seeking natural experiments and infusion of external datasets to supercharge models. 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 is a plus. This may include hypothesis testing, time series forecasting and backtesting. Data Management: Proficient in data manipulation and transformation techniques. Experience with SQL databases, ETL processes and frameworks (Dagster, Airflow, dbt,…), and data modeling as well as cloud-based data warehousing solutions like Snowflake or Google BigQuery. Understanding of data governance and quality control. MLOps: Experience in overseeing the life cycle of machine learning models from development to production. This includes observability, reproducibility and evaluation of both data and models. Experience with MLflow a plus. CI/CD: Experience with agile development methodologies, such as Scrum or Kanban. Proficiency in automation tools and frameworks for continuous integration and delivery (CI/CD), and monitoring model performance in production environments. Cloud: Experience with cloud platforms (e.g. AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.

Experience:

4+ years of hands-on experience in designing and productionizing machine learning models and AI applications preferred. Bachelor’s degree or higher in a CS or quantitative discipline: Computer Science/ Math/Statistics/Engineering preferred. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Experience with time series analysis and forecasting through ML/AI is a strong plus. Practical experience in other industries, for example, financial time series, is welcome. Demonstrated problem-solving and analytical thinking skills, with a focus on delivering practical and innovative solutions. Adaptability and willingness to embrace new technologies and challenges in a fast-paced and evolving environment.

 

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

Employment Transparency

It is the policy of Mediabrands, division of the Interpublic group, to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.