MARS Solutions Group is looking for a Senior Data Scientist
for a client. Our client is a well-known and highly respected organization seeking bright, tech-savvy talent.

Description:
This position, Principal Data Scientist-Marketing Mix Modeling & Optimization, will be responsible for researching and implementing econometric/statistical and mathematical solutions to strengthen and enhance our in-house Marketing Mix Model and Allocation Optimizer.
The Principal Data Scientist-Marketing Mix Modeling & Optimization will act as both a strategic and technical leader whose purpose is to improve KDP's overall business performance through full-lifecycle development of econometric/statistical and mathematical solutions/models to strengthen and enhance our in-house Marketing Mix Model and Allocation Optimizer. You will work with Data Engineers, Machine Learning Engineers, and Front-End Designers/Developers to bring your solutions to life in production. The Principal Data Scientist is expected to be a strong team-player and take on a player-coach role within the team. You must possess the desire to: (1) advise junior scientists in completing sub-tasks within a development project; (2) coach mid-level scientists in full-development projects; (3) ensure all model requirements are met or communicate roadblocks; and (4) train data scientists to execute, tune, and validate your model solutions.

What you will do:
* Oversee data science projects through the project lifecycle, from data-gathering through to implementation

* Design and develop robust econometric and/or mathematical optimization models
* Actively assists in the operationalization and deployment of prototype models
* Researches and analyzes data to find deep relations within data to be used in the ML/AI algorithms
* Design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions to generate business impact
* Work across multi-disciplinary teams to translate business needs into testable hypotheses and then design experiments to test said hypotheses
* Collaborate with other members of the team to support investigation across a variety of topics
* Research, recommend, and apply appropriate statistical, econometric, mathematical, and computational modeling concepts across domains
* Work with Machine Learning Engineers to convert experimental code to production code
* Unit test production model code to ensure quality
* Recruit, train, guide, and coach junior and mid-level analytics team members
* Ensure data and code integrity by conducting documentation and code reviews
* Implement strategic analyses with the know-how to balance getting the details right, while still moving at the speed of business

You have:
* A quantitative MS/PhD and minimum of 7 years of demonstrated success in Data Science
* 7+ years of experience in deploying data science in a business environment and fact-based evidence/anecdotes of implementation and impact from such deployments
* Expertise in Time Series modeling and the complexity of Time Series
* Deep expertise in Bayesian modeling and Bayesian inference
* An understanding of uncertainty principles in modeling and leverage distributional predictions to represent uncertainty and risk
* The ability to accurately scope modeling projects
* Collaboration skills and experience working with cross-functional teams and effectively communicate findings and recommendations to non-technical stakeholders
* An entrepreneurial mind-set
* A team-player and a team-first mentality
* Excellent oral and written communication skills
* Excellent Data Story telling skills
* A highly detail-oriented and organized working style-ensuring model documentation excellence
* Strong business, economic, and financial acumen

You will stand out if you have one or more of the following:
* The ability to quantify indirect effect of treatments utilizing Bayesian Networks or Halo Effects
* Experience incorporating expert qualitative business knowledge and A/B test results to adjust and tune model results
* Experience with Bayesian Belief Networks
* Familiarity and experience with conformal prediction, diffusion methods is a plus
* Demonstrated experience with applying integer and linear optimization methods to drive business goals/KPI outcomes
* Demonstrated success in Data Science within the Marketing Domain
* Experience working in CPG, Media, or Retail on the client or agency side
* Domain knowledge on marketing and/or Market Mix Models
* Up to date and passion for staying current with various modeling techniques and a demonstrated history of utilizing champion challenger principles to ensure model
* 3+ years of demonstrated experience working directly or indirectly with Python in a full-stack Data Science product environment
* Experience working with engineers to convert experimental code into production ready code
* Experience working with Bit Bucket, Git, Google Cloud Platform

MARS Solutions Group is an IT staffing firm with access to a wide variety of jobs at various clients across the country. We operate with the consultant's best interests in mind and align them with roles that match their skills, aspirations, and interests.
MARS values our relationships with consultants. Therefore, we will stay in touch throughout the duration of the contract to ensure the job is going well and that the role meets their career development needs.