Bertoni Solutions is seeking a Senior Data Scientist based in LATAM with advanced English proficiency to join a fully remote project for one of our U.S.-based partner’s client.

Responsibilities

Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies.
Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation.
Work with large-scale healthcare datasets, including claims, prescription, digital engagement logs, and survey data, to derive insights into HCP behavior.
Partner with commercial, marketing, and business development teams to translate data insights into strategic recommendations that enhance customer engagement.
Act as a key data science representative in client engagements, effectively communicating insights, methodologies, and recommendations to both technical and non-technical stakeholders.
Have broad analytics experience or innovative knowledge, and use skills to contribute to achieving client objectives in creative and effective ways.
Foster innovation by exploring and integrating emerging technologies and methodologies.

Qualifications

IMPORTANT: This opportunity is exclusively available to bilingual applicants (native Spanish or Portuguese fluency, and advanced English fluency, or vice versa) who are currently living in Latin America. If you do not meet these criteria, we kindly ask that you refrain from applying, as applications that do not meet these requirements will not be considered.

Required experience: Four (4) to six (6) years of experience.
Master’s degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD preferred.
Proficiency in programming languages such as Python, R, and SQL.
Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics.
Strong background in predictive modeling, classification, segmentation, and optimization.
Familiarity with healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data.
Experience working with clients and strong ability to bridge the gap between technical and business stakeholders.
Ability to translate complex data science concepts into strategic business insights for non-technical stakeholders.
Experience deploying models in cloud environments (AWS, Azure, or GCP) is a plus.
Strong problem-solving skills, intellectual curiosity, and a proactive approach to driving impact through data science.
Advanced written and spoken English fluency along with strong verbal and written communication skills.

Additional Information

Contract Type: Independent contractor (This type of contract does not include paid time off, tax deductions, or insurance. It only includes the gross monthly payment based on hours worked).
Contract Duration: Initially 6 months, with possible extension based on performance.
Work Mode: 100% remote outsourcing. The client is based in the U.S. and is looking for nearshore talent.
Time Zone & Schedule: Full-time, Monday to Friday (8 hours per day, 40 hours per week), U.S. Eastern Time (EST).
Equipment: Contractors must use their own laptop or PC.
Number of Open Positions: 1
Start Date: As soon as possible.