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Junior Full Stack Data Scientist at SynergisticIT Minneapolis, MN
- Minneapolis, Minnesota, United States
- Minneapolis, Minnesota, United States
Über
Salary: $60,000 - 88,000 per year
Requirements
We look for candidates with practical, employer‑ready skills and the confidence to demonstrate them in interviews.
We prefer applicants who can solve problems under time constraints and explain their thinking clearly.
We value strong foundations in data structures and algorithms, object‑oriented programming, APIs, SQL, and pipeline or system design.
We seek people who can communicate trade‑offs, handle edge cases, and articulate technical decisions with clarity.
We are interested in candidates with project experience that shows depth, not just simple or toy examples.
We consider candidates for entry‑level software programming, Java full stack development, Python and Java development, data analysis, data engineering, data science, and machine learning engineering.
We welcome job seekers who need interview preparation, including those who feel rusty, struggle with live coding, or are transitioning into tech.
We support candidates who may need guidance with STEM OPT extension, H1B filing, or Green Card‑related processes where applicable.
Responsibilities
We prepare candidates to perform well in technical, system design, and behavioral interviews.
We coach applicants to think aloud, structure answers, debug in real time, and defend their design choices.
We help candidates strengthen their technical foundations through guided practice and interview‑focused learning.
We run realistic mock interviews and provide feedback so candidates can improve through repeated practice.
We guide job seekers in building stronger project stories that explain what they built, why it matters, and how it works.
We help candidates present themselves as job‑ready professionals who can collaborate and deliver value from day one.
We connect qualified candidates with employers hiring across Java, full stack, DevOps, data engineering, analytics, BI, and ML/AI tracks.
We share resumes with clients and our internal placement team database, and interested employers may contact candidates directly.
Technologies
AI
DevOps
Support
Java
Machine Learning
Python
SQL
OOP
Fullstack
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Sprachkenntnisse
- English
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