Job Description

Junior Data Scientist — Move From ML Courses to Real Job Readiness

Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. 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
• SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market.

Build the confidence, projects, and preparation needed for data science opportunities—Contact us. 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.

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