Data Scientist (Remote)

SynergisticIT Job Opportunities

The job market is challenging due to more than 150,000 tech layoffs in 2022 and in 2023 more than 240,000 layoffs so almost 390,000 tech employees have been laid off since 2022 and it's still going on. The effect of this has led hundreds of thousands of laid off tech employees competing with existing jobseekers. Entry level job seekers struggle to get responses to their applications, are getting ghosted after interviews. In such a scenario the job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies to be hired by clients as it's an employer's market presently and they have a lot of hiring choices. For more than 12+ years Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens we are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as clients now post covid can also hire remote workers which increases even more competition for jobseekers. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, paypal, western union, client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in IT industry we assist in filing for STEM extension and also for H1b and green card filing to candidates we also offer optionally skill and technology enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then they should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.

We regularly interact with the top tech companies to give our candidates a competitive advantage-please see us exhibiting at Oracle Cloud world/Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023. For preparing for interviews please visit. We are looking for the right matching candidates for our clients please apply via the job posting.

Required skills for Java/full stack/software programmers bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT highly motivated, self-learner, and technically inquisitive experience in programming language java and understanding of the software development life cycle project work on the skills knowledge of core java, javascript, c++ or software programming spring boot, microservices, docker, jenkins and rest api's experience excellent written and verbal communication skills.

Required skills for data science/machine learning positions bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed highly motivated, self-learner, and technically inquisitive experience in programming language java and understanding of the software development life cycle knowledge of statistics, sas, python, computer vision, data visualization tools excellent written and verbal communication skills preferred skills: NLP, text mining, tableau, powerbi, tensorflow.