Data Scientist/Data Engineer - Junior (Remote)

Synergisticit Inc.
Ann Arbor, MI, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
$95,000.0 - $154,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Information Engineering DevOps Python (Programming Language) Machine Learning Information Technology Data Analytics

Job description

Coming from business, healthcare, finance, education, operations, retail, QA, or project management? You may already have valuable workplace strengths: communication, problem-solving, stakeholder management, domain knowledge, and accountability. What you may be missing is the technical foundation and project proof needed to compete for tech roles.

Requirements

SynergisticIT is seeking motivated career changers interested in Java development, Python programming, full-stack development, data analytics, data science, data engineering, and ML/AI pathways. This opportunity is ideal for candidates who are serious about switching into technology and want a structured path rather than random learning. SynergisticIT JOPP is good for career changers because it helps convert potential into a job-ready profile. Candidates can focus on technical upskilling, practical projects, resume transformation, interview coaching, and positioning their previous experience as an advantage rather than a limitation.Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client 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 experience
  • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects
  • Computer Science grads with limited or no job experience
  • Students who recently finished their Bachelor’s or Master’s programs
  • Those struggling to land interviews despite having experience

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