Junior Data Scientist /Data Engineer

Job Description

Job Description

Almost Hired: Data Scientist and ML Candidates Who Stall in Technical Interviews

Take-Home Tests Should Not End Your Search
You pass the recruiter call, then the SQL live test, ML case study, or "explain bias-variance” round knocks you out. Hiring teams expect you to discuss feature engineering, model choice, metrics, leakage, and how you would deploy—not only accuracy on a Kaggle notebook.
SynergisticIT JOPP is aimed at data scientist, ML engineer, and AI roles who keep losing late-stage interviews. rebuild interview fluency: Python, statistics, supervised and unsupervised learning, deep learning basics, NLP, LLMs/GenAI, and the ability to defend a project in plain business language.

Interview Prep That Matches Data Hiring

Work through client-style questions, mock case interviews, and portfolio projects such as churn, fraud, NLP, computer vision, and MLOps-ready workflows. Feedback is direct. Weak explanations get rewritten until they sound like someone who has shipped analysis, not someone who memorized definitions.

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. We've seen firsthand that with the right support anyone with the right basics can get Hired Into Enterprise Companies and have a long term Tech career —Enterprise companies are looking for Employees who can hit the ground running from day one. We can help achieve that through ensuring you have the Tech stack which Enterprise companies are looking for.
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/ Offers Follow Proof, Not Hope
Get Connected to employers hiring for data scientist, ML, and AI work. Graduates have reached companies including Apple, Google, Client, Client, BHN, Banking, Client, and Ford, with successful-completion salaries often quoted from $95k to $154k.
If you are failing interviews you were excited to get, the missing piece is structured preparation plus someone who will put you in front of hiring teams.
Stop losing the round you already earned. 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.