INTL - LATAM - Data Scientist

Insight Global
Santa Monica, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Santa Monica, United States of America

Tech stack

Databases
Python
PostgreSQL
Machine Learning
Spark
Redshift

Job description

  • Build predictive models using statistical and machine learning techniques used for

classification, regression, and disambiguation. Assess model performance and

communicate with stakeholders.

  • Derive insights from data to improve our understanding of user identity and their journey

from online to retail.

  • Mine and analyze prescription drug pricing and volume to drive optimization and

improvement of product development; refine attribution and identity through NLP

cleaning and typo correction techniques

  • Support our marketing DS team with audience selection and generation

  • Partner with the rest of the data team to improve data consistency, cleanliness, and

Requirements

GoodRx is looking for a Data Scientist to join our data team. Our ideal candidate is a team

player, a curious, relentless learner who's ready to take on new challenges and deliver value in

a dynamic environment. This individual will have a love of working with data and making

discoveries, a deep understanding of mathematics and statistical modeling, and strong

communication skills. This role will bring rigor to advanced projects across pricing and

identity/attribution data initiatives., * 3+ years of work experience in data science/machine learning;

  • Experience delivering impact through statistical analysis and predictive modeling;

domain knowledge in areas of pricing, identity, and attribution preferred.

  • Strong knowledge with databases such as RedShift, PostgreSQL, and Spark/EMR;

familiarity with Python computing stack

  • Comfortable with ambiguity, adaptable to a high-change environment, and open to new

concepts and processes

  • Any prior exposure to the prescription/healthcare industry is a plus.

  • Undergraduate degree in a quantitative field (e.g. hard sciences, engineering, operations research, etc); advanced degree is a plus.

  • Experience delivering impact through statistical analysis and predictive modeling;domain knowledge in areas of pricing, identity, and attribution preferred.

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