
Senior Data Scientist
Memed
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Understand business area needs and translate them into analytical requests, hypotheses, technical requirements and execution plans.
- Develop and implement advanced Machine Learning models, predictive and prescriptive analyses applied to activation, engagement and retention problems.
- Design statistical methodologies for behavioral analysis, segmentations, cohorts and tracking of key metrics, ensuring consistency, accuracy and reproducibility.
- Evaluate the impact of campaigns and business interventions using causal inference methodologies and econometric models, including Marketing Mix Modeling (MMM), uplift modeling and quasi-experimental approaches (Diff-in-Diffs, Synthetic Control, Propensity Score Matching).
- Develop statistical frameworks for measuring incremental impact, channel attribution and marketing investment optimization, connecting analytical insights to strategic decisions in product, growth and partnerships.
- Interpret and communicate complex information about physicians, patients and partners, generating strategic insights for product, engineering, marketing and corporate areas.
- Collaborate with Product, Engineering, Marketing and Operations teams, turning data into practical, actionable recommendations.
- Ensure best practices in documentation, version control, governance and data quality.
- Serve as a technical reference, supporting solution reviews, defining analytical standards and promoting Data Science best practices.
Requirements
- Strong experience in Python, using Pandas, Scikit-Learn and XGBoost.
- Proficiency in Machine Learning techniques, including regressions (linear, logistic and regularized), decision trees and Random Forest.
- Knowledge of Deep Learning (TensorFlow and/or PyTorch).
- Experience with time series modeling (ARIMA / SARIMA).
- Experience with NLP and Generative AI applied to structured and unstructured data.
- Experience working with unstructured data (text, logs, etc.).
- Strong foundation in applied statistics.
- Experience with cohort analysis and user behavior analytics.
- Experience in experimentation and A/B testing, from hypothesis definition to result analysis.
- Ability to turn data into actionable insights focused on decision making.
- Expertise in data visualization and storytelling.
- Experience with Matplotlib and Seaborn.
- Ability to communicate results clearly to technical and non-technical audiences.
- Solid knowledge of SQL.
- Experience with large-scale data (Big Data).
- Good software engineering practices: Git, Object-Oriented Programming (OOP), Clean Code.
- Experience with MLOps and deployment: Docker, APIs using FastAPI or Streamlit.
- Experience with Big Data and Cloud Computing, using: Spark, AWS, GCP or Azure.
Benefits
- Mental health support through Zenklub, offering psychological care with specialized professionals.
- Health and dental insurance to take care of your well-being.
- Meal and food vouchers on a Mastercard card, accepted at restaurants and supermarkets.
- Memed Cuida – R$110/month to use as you wish: wellness, culture, leisure, or whatever makes sense for you.
- Childcare allowance to support employees with children.
- Day off on your birthday to celebrate as you prefer.
- Life insurance because caring also means being prepared.
- Wellhub (formerly Gympass), to keep your body active and mind healthy.
- Único Skill, with access to online courses, undergraduate and graduate programs, language courses and mentoring.
- Exclusive partnerships that expand your possibilities.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPandasScikit-LearnXGBoostMachine LearningDeep LearningARIMANLPSQLBig Data
Soft Skills
communicationcollaborationanalytical thinkingproblem solvingstorytellingactionable insightsdecision makingdocumentationgovernancedata quality