Senior Data Scientist

Corp-Corp, W2
Dallas,TX
Posted 4 months ago

Data Scientist

Frisco, TX (Mostly REMOTE)

12+ Months

$50/HR on W2 OR $55/HR on C2C

Candidates should be local to Dallas, TX and should be able to work on our W2.

DATA SCIENTIST 

Description:

You will work with Lead Data Scientists, Data Engineers, Machine Learning Engineers, and Front-End Designers/Developers to bring ensure model excellence. The Associate Data Scientist is expected to be a quick-learner and possess a strong passion for implementing statistical, econometric, and mathematical methods to generate business outcomes. You must possess the desire to:

(1) work within the context of Marketing and Media;

(2) learn from both Data Science and Business leaders;

(3) ensure all model requirements are met or communicate roadblocks; and

(4) work in a team-first environment. We operate in a no-ego and no judgment environment—you are a Data Scientist in training and we expect you to ask questions and we are here to support you!

WHAT YOU WILL DO:

•    Learn our business—baseline business knowledge is paramount to our success

•    Learn and execute KDP’s Marketing Mix Model and Budget Allocation Optimizer

•    Work closely with lead data scientists to perform model enhancement experiments in a guided environment

•    Perform exploratory data analysis and communicate anomalies

•    Evaluate/Validate results and communicate findings to the agile MMM team which includes data scientists, product managers, and business analysts

•    Make the connections between model outputs the business, marketplace, competitive, and economic context

•    Work within a large production codebase

•    Research and analyzes data to find deep relations within data to be used in the ML/AI algorithms

•    Bring hypotheses to the team and assist in experimental design to test 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 to grow into a senior data scientist

REQUIRED

•    A quantitative MS/PhD

•    Academic experience in deploying data science solutions

•    Academic experience in Time Series modeling and the complexity of Time Series

•    Academic Bayesian modeling and Bayesian inference

•    An understanding of uncertainty principles in modeling and leverage distributional predictions to represent uncertainty and risk

•    Collaboration skills and experience (academic or otherwise) working with cross-functional teams and effectively communicating findings and recommendations to non-technical stakeholders

•    An entrepreneurial mind-set

•    A team-player and a team-first mentality

•    Baseline oral and written communication skills

•    Baseline Data Story telling skills

•    A highly detail–oriented and organized working style—ensuring model documentation excellence

•    Business, economic, and financial acumen

YOU WILL STAND OUT IF YOU HAVE ONE OR MORE OF THE FOLLOWING:

•    Participated in a real-world capstone or internship where you utilized your academic knowledge to generate business outcomes

•    1+ year of work experience in Data Analysis, Data Science, Business Analytics, Marketing, Media, Advertising, or Consulting

•    The ability to quantify indirect effect of treatments utilizing Bayesian Networks or Halo Effects

•    Knowledge or insight in incorporating expert qualitative business knowledge and A/B test results to adjust and tune model results

•    Familiarity with conformal prediction, diffusion methods is a plus

•    Academic or real-world experience with applying integer and linear optimization methods

•    Knowledge and passion for the Marketing Domain

•    Experience working in CPG, Media, or Retail data

•    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

•    Some computer science or product data science experience (academic or otherwise)

•    Experience working with or developing large-scale codebases

•    Experience working with Bit Bucket, Git, Google Cloud Platform

•    Completed a thesis/dissertation, have published research, or evidence of a strong academic focus in an applied nature directly related to the job at hand

Job Features

Job CategoryInformation Technology

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