Mid-level Data Scientist
Akross
full-time
Posted on:
Location Type: Hybrid
Location: Brazil
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About the role
- Participate in the design and evolution of advanced analytical solutions;
- Develop and implement predictive and prescriptive models to support strategic decisions;
- Design and build scalable data pipelines;
- Create enriched analytical datasets by integrating multiple sources;
- Apply AI techniques and advanced statistical methods;
- Work closely with business and product teams;
- Define best practices for modeling, version control, validation, and model governance;
- Drive strategic initiatives and mentor team members;
- Translate complex analyses into clear executive-level narratives.
Requirements
- Degree in Statistics, Engineering, Computer Science, Mathematics, or related fields;
- Strong experience in statistical modeling and machine learning in production environments;
- Proficient in Python or R for analysis and modeling;
- Advanced SQL experience for data manipulation and building analytical datasets;
- Experience with classification, regression, clustering, time series, and forecasting models;
- Knowledge of model validation techniques;
- Experience with cloud environments (AWS, GCP, or Azure);
- Ability to connect business problems to robust analytical solutions;
- Excellent communication skills for data storytelling and strategic influence.
Benefits
- Hybrid work model
- Home office allowance
- Health and dental insurance – Bradesco Seguros
- Flexible meal and food allowance (Swile)
- Wellhub (Gympass)
- Professional development support
- Family benefits
- Birthday day off
- Partnership with Sesc
- Employee referral program
- Profit-sharing (PLR)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical modelingmachine learningPythonRSQLclassification modelsregression modelsclustering modelstime series modelsforecasting models
Soft Skills
communication skillsmentoringstrategic influencebusiness problem solving