Data Scientist (SQL/Python/R)

Job Description –

Marketing mixed model experience.

Responsibilities

Perform hands-on modeling and complex analyses using Python, SQL and/or R

Build and enhance marketing mix models to connect the impact of marketing tactics and business short-term and long-term outcomes

Minimum Qualifications

Marketing mix modeling industry experience

8+ years of industry experience in data science, measurement, marketing strategy & analytics

Description:

We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc)

Responsibilities :

Perform hands-on modeling and complex analyses using Python, SQL and/or R

Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes

Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO

Present media mix insights to different levels of senior clients

Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems

Partner with cross-functional team to streamline data science solutions

Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization

Minimum Qualifications

Master's degree in statistics, economics, operations research, engineering, or related field

6+ years of industry experience in data science, measurement, marketing strategy & analytics

Strong communication skills to ‘tell a story’ that provides insight into the business

Proficient coding skills (SQL/Python/R) and database knowledge

Extensive experience with predictive modeling algorithms

Strong project management skills, including managing technical resources and multiple priorities & milestones.

You have a passion for working in a fast-paced agile environment.

A collaborative mindset and sense of curiosity

Preferred Qualifications

PhD degree in Statistics, Economics, Operations Research, or related field

Experienced in building market mix and multi-touch attribution models

Experience with advertising, measurement, and/or digital marketing analytics

Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.

Advanced programming skills with experience of creating Python modules

Experience with A/B and Multivariate test design and implementation