Entry Level Data Scientist/Analyst/Java full stack developer

LeetCode Strong But Still Unemployed? Build Real-World Project ProofSolving coding problems is important, but LeetCode alone does not always convince employers that you are job-ready. Hiring teams also want to see whether you can build applications, work with frameworks, connect databases, use Git, explain architecture, debug issues, and collaborate in realistic development workflows. SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This opportunity is ideal for candidates who have strong algorithm practice but need stronger project and interview positioning. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, and hundreds more with job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for full-time positions with clients. We focus on Java/full stack/DevOps and data science/data engineers/data analysts/BI analysts/machine learning/AI candidates.Ideal candidates:Recent grads in CS, Engineering, Math, or Statistics with limited or no job experienceJobseekers who had layoffs due to downsizing and want to get in demand tech stackProfessionals seeking a career switch to techCandidates with career gaps or lacking real-world experienceIndividuals looking to boost their skill portfolio for better job prospectsComputer Science grads with limited or no job experienceStudents who recently finished their Bachelor's or Master's programsThose struggling to land interviews despite having experienceSynergisticIT JOPP is good for LeetCode-focused candidates because it helps convert coding ability into a more complete job-ready profile. Candidates can build practical applications, prepare for technical and behavioral interviews, improve resume storytelling, and align their skills with employer expectations beyond algorithms.