Job description
In this Job market also, our candidates can achieve multiple job offers and $100k + salaries.
please check the below links to see the success outcomes and salaries of our candidates.
https://www.synergisticit.com/candidate-outcomes/
https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog
We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023
https://synergisticit.wistia.com/medias/tmwjwchxz5
https://synergisticit.wistia.com/medias/n8487768di
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://synergisticit.wistia.com/medias/k6t6a1n4kb
https://synergisticit.wistia.com/medias/pgrvq4fgni
https://synergisticit.wistia.com/medias/ce4syhm853
All Positions are open for all visas and US citizens
We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart labs etc to name a few.
Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java, Javascript, C++, or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements.
No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
