Data Scientist

• Build and execute advanced Measurement & Attribution (M&A) models.
• Develop and enhance statistical models for marketing effectiveness.
• Lead measurement and attribution projects independently.
• Work hands-on with modeling while coordinating offshore resources and vendors.
• Review model outputs and ensure successful project delivery.
• Support event data processing and attribution initiatives.

• Strong experience in Measurement & Attribution modeling.
• Hands-on experience with:
• Marketing Mix Modeling (MMM)
• Attribution Modeling
• Advanced statistical modeling
• Experience building and modifying statistical models independently.
• Strong understanding of:
• Bayesian models
• Linear Regression
• Mixed Regression
• Other advanced statistical methodologies
• Experience working beyond open-source models (ability to customize and improve models)., The hiring manager emphasized that industry experience is secondary to having strong Measurement & Attribution expertise.

Offline Media Measurement Experience (Highly Preferred)

Candidates should have experience measuring the effectiveness of offline marketing channels, such as:

• Salesforce promotions
• Direct Mail campaigns
• Print campaigns
• Field marketing
• Agent-based marketing programs

Offline measurement experience is considered more valuable than pharmaceutical experience alone.

Digital Measurement Experience

Candidates must also demonstrate strong experience measuring digital marketing performance alongside offline channels.

Experience Required

• Minimum 3-5 years of direct Measurement & Attribution experience.
• 3-5 years independently building and leading attribution models., * Bachelor’s degree is acceptable.
• Master’s degree is preferred but not required.
• Practical hands-on experience is valued more than advanced education.

Ideal candidates will have:

• Strong Measurement & Attribution background.
• Advanced statistical modeling expertise.
• Hands-on experience building attribution models.
• Ability to independently own projects.
• Experience collaborating with offshore teams and vendors.
• Strong understanding of both digital and offline marketing measurement.

Measurement & Attribution expertise is the top priority.

• Candidates should have deep statistical modeling experience (Bayesian, regression models, MMM, attribution).
• Hands-on modeling experience is significantly more important than Life Sciences experience.
• Offline media measurement (direct mail, print, sales force effectiveness) is a major differentiator.
• Candidates should be capable of independently leading attribution projects while partnering with vendors and offshore teams.
• Remote opportunity with future limited travel and potential for long-term conversion.Role Description:The Data Scientist - Measurement & Attribution tasks include:
• You will play an important role in our US-based attribution modeling capabilities. You will use data science techniques to examine marketing activities and to estimate their growth. These projects will include Media Mix Optimization or Marketing Mix Modeling, Analysis of Covariance (test and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. You will be hands-on keyboard building and revise code and inspire creativity.
• Expectations: 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
• Experience in measurement of both 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
• An understanding of marketing goals and how different media channels support these goals
• Preference, experience in pharma/life science

Pay: $75.00 - $80.00 per hour

Education:

• Bachelor’s (Required)

Experience:

• direct Measurement & Attribution: 3 years (Required)
• independently building and leading attribution models.: 3 years (Required)

$75 - $80 an hour - Full-time, Contract