Senior Data Scientist

Summary

Join Bertoni Solutions as a Senior Data Scientist for a fully remote, 6-month (potentially extendable) contract with a U.S.-based client! Based in LATAM, you will lead the design and execution of advanced machine learning models to optimize omnichannel engagement strategies. You will work with large-scale healthcare datasets and collaborate with various teams to translate data insights into strategic recommendations. This role requires 4-6 years of experience, a Master's degree (PhD preferred) in a related field, and proficiency in Python, R, and SQL. Fluency in Spanish or Portuguese and advanced English is mandatory. The position offers 100% remote work, but it's an independent contractor role without benefits like paid time off or insurance.

Requirements

• Be bilingual (native Spanish or Portuguese fluency, and advanced English fluency, or vice versa) and currently living in Latin America
• Have four (4) to six (6) years of experience
• Have a Master’s degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Be proficient in programming languages such as Python, R, and SQL
• Have experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics
• Have a strong background in predictive modeling, classification, segmentation, and optimization
• Have familiarity with healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data
• Have experience working with clients and a strong ability to bridge the gap between technical and business stakeholders
• Be able to translate complex data science concepts into strategic business insights for non-technical stakeholders
• Have advanced written and spoken English fluency along with strong verbal and written communication skills

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

Preferred Qualifications

• Have experience deploying models in cloud environments (AWS, Azure, or GCP)
• Have strong problem-solving skills, intellectual curiosity, and a proactive approach to driving impact through data science
• Have a PhD

Benefits

100% remote work