Data Science

<h3>Accountabilities:</h3><li>Identify target employee populations by applying filters in HR systems, considering employment relationships, work arrangements, organizational departments, and assignment or secondment status.</li><li>Extract and analyze workforce data, including working hours, absences, attendance, employee substitutions, and timekeeping records for defined reference periods.</li><li>Combine system configuration data to construct unique identifiers for each employee's work schedule plan.</li><li>Project daily work schedules based on shift-cycle logic, ensuring that expected schedules accurately reflect applicable working patterns.</li><li>Apply data exclusion and eligibility rules to ensure that only relevant and valid records are included in analyses.</li><li>Compare expected records against existing system entries to identify required additions, updates, maintenance actions, and access restrictions.</li><li>Coordinate with IT teams to initiate and support the execution of bulk data entries and system updates.</li><li>Consolidate timekeeping records into corresponding clock-in and clock-out pairs to support chronological analysis and validation.</li><li>Detect anomalous patterns in special working arrangements, including recurring daytime schedules and weekend days off, and investigate potential inconsistencies.</li><li>Develop data processing scripts, automation workflows, and analytical solutions using Python and SQL to improve data quality and operational efficiency.</li><li>Apply statistical modeling and machine learning techniques to identify patterns, generate insights, and support data-driven decision-making.</li><li>Explore opportunities to apply generative AI, LLMs, and RAG-based solutions to business challenges and analytical workflows.</li><li>Communicate findings, technical requirements, and recommendations to IT teams and business stakeholders, ensuring alignment between operational needs and technical implementation.</li><h2>Requirements:</h2><li>A completed bachelor's degree or equivalent higher education qualification in a technology-related field.</li><li>Strong Python skills, including data manipulation, automation, and the development of analytical solutions.</li><li>Proficiency in SQL for extracting, transforming, and analyzing data from relational databases.</li><li>Knowledge of statistical modeling and machine learning techniques applied to data analysis and predictive problem-solving.</li><li>Experience with machine learning and data visualization libraries, particularly Scikit-learn, Streamlit, and Matplotlib/Pyplot.</li><li>Familiarity with deep learning frameworks such as TensorFlow and PyTorch.</li><li>Understanding of natural language processing (NLP), generative AI, large language models (LLMs), and retrieval-augmented generation (RAG).</li><li>Knowledge of cloud computing platforms, particularly AWS and Microsoft Azure.</li><li>Strong analytical and problem-solving skills, with the ability to work with complex datasets, identify inconsistencies, and develop reliable data-driven solutions.</li><li>Ability to translate business requirements into technical specifications and collaborate effectively with technical teams.</li><li>Clear communication skills and the ability to explain analytical findings and technical concepts to stakeholders with varying levels of technical expertise.</li><h2>Nice to have:</h2><li>Experience with AI orchestration frameworks such as LangChain and LangGraph.</li><li>Experience designing, developing, or integrating chatbots and conversational AI applications.</li><li>Experience collaborating with technical departments and serving as a liaison between business stakeholders and IT teams.</li><li>Ability to present analytical results, insights, and recommendations to non-technical audiences.</li><li>Experience automating data-intensive business processes and developing scalable AI-powered applications.</li><h2>Benefits:</h2><li>
<strong>Fully remote work:</strong>Enjoy the flexibility of working remotely from Brazil.</li><li>
<strong>Full-time employment:</strong>Join a full-time professional opportunity within a technology-focused environment.</li><li>
<strong>AI-driven projects:</strong>Contribute to initiatives involving artificial intelligence, generative AI, machine learning, and advanced digital technologies.</li><li>
<strong>Professional development:</strong>Expand your technical expertise by working with modern data science frameworks, cloud platforms, and AI tools.</li><li>
<strong>Cross-functional collaboration:</strong>Work at the intersection of business and technology, collaborating with technical teams and stakeholders to deliver impactful solutions.</li><li>
<strong>Career growth opportunities:</strong>Develop your skills and gain exposure to emerging technologies and evolving industry practices.</li><li>
<strong>Inclusive workplace:</strong>The opportunity is open to people with disabilities (PwD).</li><li>
<strong>Innovation-focused environment:</strong>Contribute to digital transformation projects designed to help organizations modernize operations and improve business performance.</li>