Job Summary: SENAI is seeking Data Scientists to develop and implement statistical analyses, transform raw data into relevant information, and apply machine learning algorithms. Key Highlights: 1. Opportunity to work as a Data Scientist at SENAI. 2. Focus on developing statistical techniques and machine learning. 3. Consolidation of knowledge in data analysis. **Description and Responsibilities:** **Schedule:** Monday to Friday, from 8:00 AM to 5:00 PM **Level:** Not Specified **Employment Type:** Permanent – CLT **The SENAI Education Management is seeking professionals to form a Reserve Register for future Data Scientist positions.** **\*\*\*\*\*\*\*\*\* Applications until 03/20/2026 \*\*\*\*\*\*\*\*\*** Develop and implement a set of statistical analysis techniques to transform raw data into relevant information, using programming languages, statistical software, and data visualization tools. Apply data mining, data modeling, natural language processing, and machine learning algorithms to extract and analyze information from large volumes of structured and unstructured datasets. Visualize, interpret, and report findings to stakeholders; at this level, the professional is consolidating expertise on the subject, performing duties consistently and independently. Identify business area needs and institutional strategic objectives that can be addressed through data analysis. Organize internal and external organizational databases and information to structure decision-support products. Collect, process, and analyze large volumes of structured and unstructured data available in the company’s consolidated database and/or external sources using statistical software. Collect large volumes of structured and unstructured data available in the company’s consolidated database and/or external sources using statistical software, ensuring all relevant sources are included and data remains up-to-date. Process collected data using appropriate techniques and tools for cleaning, transformation, and organization, ensuring integrity and consistency of processed data. Analyze processed data to generate accurate and actionable insights, ensuring analyses are consistent and support strategic decision-making. Apply statistical and mathematical methods to perform predictive, prescriptive, descriptive, and diagnostic analyses, as required by the business area. Build, test, validate, and refine data analysis models based on statistical performance metrics to ensure result accuracy. Build data analysis models based on statistical performance metrics, ensuring models are developed using appropriate techniques and algorithms with scalability. Test built models comprehensively to evaluate model performance, using validation datasets to measure result accuracy and reliability. Validate data analysis models by verifying model accuracy under different scenarios and conditions, ensuring results are consistent and generalizable to future data. **Requirements:** **WHAT WE CONSIDER IMPORTANT FOR THIS OPPORTUNITY** **Essential Requirements:** Bachelor’s degree completed in Data Science, Statistics, Mathematics, Physics, Economics, Engineering, or related fields. Experience as a Data Scientist. **WHAT WE EXPECT FROM YOU DAILY** Experience working as a Statistician, Data Analyst, Business Analyst, Data Scientist, or Data Engineer, preferably in the Education sector. **HARD SKILLS:** Programming in Python, R, and SQL \# intermediate level; Knowledge of data processing, statistical modeling, and data architecture \- intermediate level; Understanding of statistical concepts required to implement artificial intelligence, machine learning, exploratory data analysis, data mining, regression techniques, probabilistic models (decision trees, random forests, etc.), and clustering \- intermediate level; Development of dynamic reports \- intermediate level; Knowledge of Cloud Computing environments \- intermediate level; Knowledge of data extraction, processing, and visualization \- intermediate level; Familiarity with Big Data technologies (Hadoop, Spark, etc.) \- intermediate level; **SOFT SKILLS:** Ability to efficiently communicate results to business areas \- intermediate level; Strategic thinking; Growth mindset; Time management; Critical analysis; Problem-solving; Assertive communication. **ATTENTION! IT IS IMPORTANT THAT YOU KNOW** The stages of the selection process (e.g., interviews, assessments, or trial classes) may occur either in person or online. If any stage is conducted online, internet access and necessary equipment are the candidate’s responsibility. We also remind you that connectivity failures, equipment malfunctions, or failure to view the scheduling email may prevent participation, with no possibility of rescheduling. All communication will occur exclusively via email; therefore, please keep your contact details updated and check your inbox, including spam folders. Only one application per candidate is permitted. If duplicate applications are identified at any time, the candidate will be disqualified from the selection process. Stage dates may be scheduled up to 24 hours in advance. All applicants will receive positive or negative feedback during or after the conclusion of the selection process. In case of any incident, malfunction, need to update contact information/resume, or failure to receive confirmation email upon registration, we recommend contacting platform support. **DIVERSITY \& INCLUSION** We believe diverse teams deliver innovative results, achieve greater representation, and generate broader social impact. Therefore, we invite professionals from varied backgrounds, skills, and perspectives to enrich our workplace with their unique experiences. Want to know more? Access general information here **Benefits:** Medical assistance, Association \- AES and AESSP, Childcare allowance, Private pension plan, Employee Assistance Program \- emotional, legal, and financial support, Life insurance, Corporate University \- Unindústria, Meal or food allowance \- based on working hours and contractual modality, Transportation allowance
João Silva
Indeed · HR
João Silva
Indeed · HR
