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Data Analyst / Scientist - Remote

SynergisticIT

Dallas (TX)

Remote

USD 70,000 - 90,000

Full time

Yesterday
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Job summary

SynergisticIT is looking for motivated individuals to fill various entry-level tech positions, including software programmers and data analysts. With a focus on skill development and career growth, candidates will have the opportunity to work with leading tech companies. Join us to bridge the gap between your skills and employer expectations, and secure a rewarding career in technology.

Qualifications

  • Entry-level positions available for candidates with a relevant degree.
  • Familiarity with programming languages like Java and Python is preferred.
  • Understanding of data analysis and machine learning concepts is a plus.

Responsibilities

  • Develop and maintain software applications.
  • Collaborate with teams to implement solutions.
  • Analyze data and provide insights for decision-making.

Skills

Programming
Java
Python
Data Analysis
Machine Learning

Education

Bachelor's degree in Computer Science or related field

Job description

For more than 12 years, SynergisticIT has helped job seekers stand out by providing the necessary skills, experience, and technical competence to excel in interviews and at clients. We focus on building careers, not just securing tech jobs.

Our candidates often receive multiple job offers with salaries exceeding $100k.

Check the links below to see success stories of our candidates.

We regularly engage with top tech companies to give our candidates a competitive edge. We have exhibited at events such as Oracle Cloud World / Oracle JavaOne (Las Vegas) - 2023 / 2022 and the Gartner Data & Analytics Summit (Florida) - 2023.

All positions are open to all visas and US citizens.

At SynergisticIT, we understand the gap between employer requirements and employee skills. Since 2010, we have helped thousands of candidates secure jobs at technology companies like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, and more.

Currently, we are seeking entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/scientists, and machine learning engineers for full-time positions with our clients.

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