Since
2010, SynergisticIT has helped more than
10,000 jobseekers get hired at
hundreds of tech clients by providing the
required tech stack, real-world project experience, and U.S.-based exposure.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's JOPP focuses on closing the gap between your tech skills and what employers want now.
The numbers say it all: Synergisticit JOPP grads get salaries ranging anywhere from $90,000 per annum to $154,000 based on the roles and the technologies they are skilled on. Where?: Apple, Google, Walmart Labs, Ford Motors, Client, Visa, Wells Fargo, Client, Client, BHN, Banking, Walgreens, Autozone, PayPal, Client, and more.
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
- Candidates on F1/OPT needing a job for STEM extension or H-1B filing
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.
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- please check the below links
- please check the below links
As a Junior Data Scientist, you will join a team solving complex business challenges using advanced analytics and machine learning. We expect hands-on experience in
U.S.-based project teams working with tools like PyTorch, TensorFlow, Databricks, and AWS Glue. This commercial or industry experience is necessary to meet client specifications; university work or experience outside the U.S., while valuable, does not constitute sufficient preparation for our roles.
Responsibilities - Work collaboratively on supervised projects, conducting data cleaning, feature engineering, and model validation using PySpark and Databricks.
- Help design production ML models in PyTorch or TensorFlow.
- Build reports and dashboards in Power BI or Tableau.
- Communicate analyses and results to stakeholders.
U.S. project teams require
evidence of participation in regulated, appropriately documented workflows.
Required Skills - Python, PySpark, PyTorch, and TensorFlow.
- Data pipeline tools: Databricks, AWS Glue, Snowflake.
- Dashboarding with Power BI or Tableau.
Preferred Qualifications - BS or MS degree in a data science-related field.
- Certifications in cloud or ML technologies.
- Exposure to industry-scale U.S. data science deployments.
Missing Qualifications? The can address experience gaps