entry level Java Devops developer/Data scientist

Junior Data ScientistSince 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. 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's JOPP focuses on closing the gap between your tech skills and what employers want now.The numbers say it all: Synergisticit JOPP grads get salaries ranging anywhere from $90,000 per annum to $154,000 based on the roles and the technologies they are skilled on. 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 experienceCandidates on F1/OPT needing a job for STEM extension or H-1B filingCurrently, 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.As a Junior Data Scientist, you will join a team solving complex business challenges using advanced analytics and machine learning. We expect hands-on experience in U.S.-based project teams working with tools like PyTorch, TensorFlow, Databricks, and AWS Glue. This commercial or industry experience is necessary to meet client specifications; university work or experience outside the U.S., while valuable, does not constitute sufficient preparation for our roles.Responsibilities:Work collaboratively on supervised projects, conducting data cleaning, feature engineering, and model validation using PySpark and Databricks.Help design production ML models in PyTorch or TensorFlow.Build reports and dashboards in Power BI or Tableau.Communicate analyses and results to stakeholders.U.S. project teams require evidence of participation in regulated, appropriately documented workflows.Required Skills:Python, PySpark, PyTorch, and TensorFlow.Data pipeline tools: Databricks, AWS Glue, Snowflake.Dashboarding with Power BI or Tableau.Preferred Qualifications:BS or MS degree in a data science-related field.Certifications in cloud or ML technologies.Exposure to industry-scale U.S. data science deployments.Missing Qualifications? The SynergisticIT Job Placement Program can address experience gaps.