Sr Data Scientist - Remote Job

The Sr Data Scientist at Bertoni Solutions will lead the design and execution of complex machine learning models aimed at optimizing omnichannel engagement strategies. This role involves overseeing the entire data science process, from problem definition to model implementation, working with large healthcare datasets, and translating insights into strategic recommendations for various teams.

To qualify for the Sr Data Scientist position at Bertoni Solutions, candidates must have 4-6 years of experience in data science, a master’s degree (or equivalent), proficiency in programming languages such as Python, R, and SQL, and familiarity with healthcare data sources. Bilingual proficiency in Spanish or Portuguese and advanced English is a must, along with strong analytical and problem-solving skills.

As a Sr Data Scientist at Bertoni Solutions, you will work with large-scale healthcare datasets, including claims data, prescription records, digital engagement logs, and survey data. This offers a great opportunity to derive actionable insights into healthcare professional behaviors and strategies to enhance customer engagement.

Yes, the Sr Data Scientist position at Bertoni Solutions is fully remote, allowing you to work from anywhere in Latin America and providing flexible work arrangements while collaborating with a diverse multinational team.

The work schedule for the Sr Data Scientist position at Bertoni Solutions is full-time, operating Monday to Friday for 8 hours each day, aligned with U.S. Eastern Time (EST). This allows for consistent engagement with the U.S.-based client while accommodating the working hours in Latin America.

In your response, highlight your role in the project, the specific machine learning techniques used, the challenges faced, and the results achieved. Use metrics to demonstrate the impact of your work and emphasize your ability to communicate complex concepts effectively.

Discuss methodologies you’ve employed, such as causal impact analysis or uplift modeling. Explain your thought process in selecting the appropriate technique, and give an example of how your analysis led to strategic decisions that benefited your client.

Specifically mention Python, R, and SQL, discussing projects where you utilized these languages. Share your experience with libraries and frameworks that contribute to your data science work and how you leverage them to achieve project goals.

Emphasize your ability to distill complex data science concepts into clear, actionable insights. Discuss methods you’ve used to ensure understanding and foster collaboration, illustrating this with examples from past experiences.

Discuss any relevant platforms such as AWS, Azure, or GCP you’ve worked with. Describe the deployment process you followed and highlight any specific projects that benefitted from the cloud deployment, focusing on scalability and efficiency.

Share your strategies for ongoing learning, such as following industry publications, attending conferences, participating in online courses, or engaging in communities. This shows your commitment to professional growth and innovation.

Detail a specific project where you identified opportunities beyond the initial scope. Explain how your proactive approach made a significant difference in outcome, showcasing your problem-solving skills and dedication.

Discuss your familiarity with various data cleaning methods such as handling missing values, outliers, and normalization. Provide examples of challenges you've faced and how you successfully cleaned datasets for analysis.

Highlight your project management skills and any tools you utilize for organization. Discuss how you assess project urgency and importance, giving specific examples of how you successfully managed competing priorities.

Reflect on your passion for data science, the thrill of problem-solving, and the impact of your work. Articulate how your goals align with the company's mission and how you look forward to contributing to Bertoni Solutions’ success.