Jobs for Data Science
Browse jobs learning plans in Data Science on Elandi.
Role12 Modules 55 Questions GRMachine Learning Researcher
A comprehensive 12-week learning plan designed to prepare for both AWS Certified Machine Learning – Specialty (MLS-C01) and Google Cloud Professional Machine Learning Engineer certifications. This plan follows an overlap-first approach, covering shared ML concepts before addressing platform-specific differences. It includes diagnostic assessment, optional refresher tracks, hands-on labs using free-tier resources, research-oriented practices, and a 2-week exam simulation phase. Structured for part-time study alongside work with emphasis on applied practice, MLOps, and exam readiness.
Artificial IntelligenceCloud Computing +1
Role12 Modules 165 Questions GRData Vendor Analyst
A comprehensive 12-week cohort-based learning plan designed to prepare teams for the ISM Certified Professional in Supply Management (CPSM) certification exam while building practical skills for Data Vendor Analyst and Vendor Management Analyst roles. This plan integrates CPSM exam content (165 multiple-choice questions, 180 minutes, 70% passing score) with hands-on practice in vendor scorecards, SLAs/KPIs, contract management, sourcing, negotiations, supplier relationship management, risk/compliance, Excel, SQL, data quality, governance, and reporting. Includes diagnostic assessments, progressive content modules, practice quizzes, scenario-based assignments, and a final review week with mock exam. Structured for weekly cohort delivery with facilitator guidance and differentiated pathways for beginner and intermediate learners.
Data Science
Role13 Modules 180 Questions GRQuantitative Researcher
Template plan to prepare a team for a Quantitative Researcher – Fundamental Equity Research role, aligned to CFA Program Level I exam readiness while building practical quant equity research capabilities (factor research, backtesting, portfolio construction, risk, and research communication). Rolling cadence (no fixed exam date) with diagnostics, projects, question-bank routines, and mock exams.
Data ScienceFinance
Role11 Modules 60 Questions GRMachine Learning Engineer
Template plan to prepare a team for ML Engineer responsibilities and the Google Professional Machine Learning Engineer certification. Includes a core 6–8 week sprint and an extended 12–16 week track, with hands-on labs/projects, practice exam cadence, and an optional multi-cloud mapping module (AWS/Azure). Fill in placeholders for team size, weekly time budget, and cloud access.
Artificial IntelligenceCloud Computing +1