Data Scientist III – Measurement & Attribution (MMM)

US Tech Solutions; Princeton (NJ); On-site; USD 229,233,000 - 249,290,000; Full time

Job summary

US Tech Solutions seeks a Data Scientist for measurement and attribution in Princeton, NJ, on a contract basis. You will use data science techniques to analyze marketing activities, estimate growth, and work on MMM/Marketing Mix Modeling and disaggregate event-stream data.

You will build and revise code, engage in hands-on analytics, and collaborate with vendors to ensure data quality, while promoting innovative analytics and model diagnostics.

Qualifications

• Measurement of digital and offline measurement, including attribution, MMM, and linear TV impact.
• Proficiency in SQL, Python and/or R or other statistical programming language.
• Experience working with and measuring offline (such as Salesforce), TV, digital media, and CRM data.
• Knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.).
• Advanced modeling skills with Python and R.
• Cloud environment experience, especially Snowflake.
• Experience working with platforms like Dataiku/Databricks.
• Understanding of marketing goals and how different media channels support these goals.
• Preference, experience in pharma/life sciences.

Responsibilities

• Manage data collection and modeling with vendors.
• Develop reports and processes to ensure data quality control.
• Promote innovation in analytics, implement and refine attribution models.
• Interpret and visualize model estimates and diagnostics.
• Champion continuous improvement and strategic evolution.

Skills

SQL

Python

R

Statistics

Machine learning

MMM

Tools

Snowflake

Dataiku

Databricks

Job description

US Tech Solutions seeks a Data Scientist for measurement and attribution in Princeton, NJ, on a contract basis. You will use data science techniques to analyze marketing activities, estimate growth, and work on MMM/Marketing Mix Modeling and disaggregate event-stream data.

You will build and revise code, engage in hands-on analytics, and collaborate with vendors to ensure data quality, while promoting innovative analytics and model diagnostics.