data science

Job Title: Data Scientist

Experience 9 to 15 Years

Contract : W2

Duration: Long Term

Job Description:

Intermediate Data Scientist Market Mix Modeling Optimization

·    We are quickly growing and expanding our capabilities around data science data engineering and data operationalization to create a comparative advantage for our diverse business The Marketing Science Technology team is an in business analytics and product team responsible for enabling next generation Data Driven Modeling. The Marketing Science Technology team features team members with a variety of both specialized and general skills to realize this vision

·        As a Senior Data Scientist in this role you will work as the primary modeler for our inhouse Marketing Attribution MMM and Optimization model You will be responsible for ensuring input data fidelity and producing results that are statistically sound In addition to your primary function you will work with Principal Data Scientists to research and implement econometric statistical and mathematical optimization solutions to strengthen and enhance the Attribution and Optimization model

·        You will work with Data Engineers Machine Learning Engineers and Front End Designers Developers to ensure quality of data and results and debug errors as necessary The Senior Data Scientist is expected to be a strong teamplayer and take on a playercoach role within the team You must possess the desire to 1 train junior data scientists on modeling procedure 2 coach junior data scientists on understanding shaping and validating data 3 ensure requirements are met or communicate roadblocks and 4 train junior data scientists to execute tune and validate the model

What you will do

·        Independently execute the Attribution and Optimization model balancing accuracy

·        Communicate and translate results in the context of the business and quantify uncertainty

·        Help Decision Scientists Business Analysts and Data Science leadership recommend strategies and operational tactics under uncertainty

·        Develop compelling measurement plans and modelforecast scoring methods to track predictions against actuals while considering the cumulative and delayed effects of marketing efforts and uncertainty

·        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 multidisciplinary teams to translate business needs into testable hypotheses and 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

·        Take an active role in recruiting training guiding and mentoring junior team members

·        Ensure data and code integrity by conducting documentation and code reviews

·        Implement strategic analyses with the knowhow to balance getting the details right while still moving at the speed of business

You have

·        A quantitative MS.PhD and minimum of 6 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

·        Experience in Time Series modeling and the complexity of Time Series

·        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 and estimate levels of effort in sprint planning

·        Collaboration skills and experience working with cross function