Bertoni Solutions is a fully remote technology consulting company that specializes in software development, IT staff augmentation, and digital transformation services. With its Swiss precision and Latin American innovation, the company provides comprehensive solutions to businesses seeking to optimize project delivery, talent sourcing, and business transformation. Bertoni Solutions offers software engineering as a service, software quality assurance, and testing services, as well as digital transformation consulting and Microsoft solutions. The company is known for its high client retention rate, significant cost savings, and a broad network of qualified technical talent experts.
Software Engineering • Project Management • Agile Development • .Net • C#
18 hours ago
Bertoni Solutions is a fully remote technology consulting company that specializes in software development, IT staff augmentation, and digital transformation services. With its Swiss precision and Latin American innovation, the company provides comprehensive solutions to businesses seeking to optimize project delivery, talent sourcing, and business transformation. Bertoni Solutions offers software engineering as a service, software quality assurance, and testing services, as well as digital transformation consulting and Microsoft solutions. The company is known for its high client retention rate, significant cost savings, and a broad network of qualified technical talent experts.
Software Engineering • Project Management • Agile Development • .Net • C#
• 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.
• 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. • 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.
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