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Senior Data Scientist, I

About LiftLab:

LiftLab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.


Job Summary:

LiftLab is looking for a highly organized, analytical professional who loves to interact internal teams and Customer success managers. Every day there is new data from our experiments and MMM (Media Mixed Model) to analyze and we’re seeking someone who is eager to do exploratory data analysis, build models and interpret results. The ideal candidate will have a robust understanding of statistical models and methods, coupled with previous experience in the marketing industry. The ability to comfortably interpret analytical models to make insights for CSMs, marketing science team is key to this role. The Data Scientist will work with Data Science, Marketing Science and Engineering teams globally.


Responsibilities:

  • Work with observational and experimental time series data sets

  • Dig into data to prepare insights from the exploratory data analysis

  • Build an econometric time series models on observational and experimental data using advanced econometric methods

  • Interact daily with data science and marketing teams to discuss model outputs

  • Coordinate with the marketing science team and global data science teams to ensure timely delivery of projects, while also contributing to a more comprehensive and in-depth research analysis.

  • Quickly gain understanding on how all experimentation/MMM models conceptually work. Understand the inputs and outputs of the models, what sort of factors would impact them both, and make recommendations for modifications.

  • Hands-on experience in constructing measurement frameworks that merge descriptive analytics, modeled insights, and causal inference to provide tactical recommendations for media optimization. This includes the strategic orchestration of multiple data sources into a straightforward and unified path forward.

  • Ability to listen attentively and understand the needs of requirement

  • Ability to collaborate and mentor junior data scientists

  • Ability to share experiences with team members


This person should have:

  • 5+ years of experience in analytics

  • Experience in building econometrics time series, Bayesian structural time series models

  • Experience in developing clustering methods or algorithms

  • Experience in statistical models like regressions, econometrics time series, design of experiments, analysis of variance, statistical inference etc.,

  • Excellent analytical and problem-solving skills

  • Experience in programming languages like Python, R

  • Experience in PostgreSQL, SQL, DBMS, MySQL, AWS tools

  • Experience is digital marketing is plus

  • Aptitude to learn multiple functions and processes quickly

  • Have a strategic mindset with a strong understanding of utilizing data to solve high-stakes problems in the marketing space.

  • Be a detective who doesn’t take unexpected results or strange data at face value. Ask questions, look at new data, run new models, until they have turned over every rock.

  • Understand causal analysis/econometric modeling/media investment strategies and what the metrics mean.

  • Strong problem-solving and critical-thinking abilities.

  • Communicate effectively within team, cross functional teams

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