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Data Scientist/Data Engineer - Junior (Remote)

$95k - $154k

Synergistic IT

Job Description

Job Description

Career Switchers: for People Moving from Non-Tech To Tech

Domain Knowledge Is an Asset Until You Cannot Query It
Teachers, finance ops, marketing coordinators, researchers, and business analysts often have the judgment companies want and none of the stack they screen for. You cannot get a data analyst interview because your resume still reads like your last industry, not like SQL, Tableau, and a project that answers a business question.
SynergisticIT Data Science JOPP is a fit for career changers who want data analyst and adjacent analytics jobs. Python is helpful but not required to apply. Basics in math or statistics help. The program builds the technical layer on top of the domain sense you already have.
Translate Your Past Into Analyst Language
You learn SQL, visualization, data cleaning, and enough statistical reasoning to survive case interviews. Projects are chosen so you can say, "Here is a dataset, here is the question, here is the dashboard, here is the recommendation.” That sentence hires career switchers. Vague claims about being a "people person who loves Excel” do not.

Since 2010, we've 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.
You're not alone—and you're not the problem.
The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma—they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one.
That's exactly what SynergisticIT delivers.

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

Please check below links:
Event videos (OCW, JavaOne, Gartner):
USA Today feature
Explore JOPP:

Contact: -us/

please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | -tech-companies-dont-hire-recent-cs-graduates/
Technical Skills or Experience? | Which one is important to get a Job? | -skill-or-experience-which-one-is-more-important-for-a-jobseeker/

A Practical On-Ramp Into Data Teams
After successful completion, people are hired into data analyst and hybrid roles, with program salary ranges often $86k–$150k+ and employers across retail, banking, healthcare, and tech. You do not need to pretend you were a data scientist in 2019. You need a current, honest, hireable profile.
If self-study has not produced interviews, you are missing structure and distribution.
Switch with a placement program, not a hope and a certificate. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Vacancy posted 1 day ago
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