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Data Scientist

Remote: 
Full Remote
Contract: 
Salary: 
70 - 125K yearly
Work from: 
California (USA)

Offer summary

Qualifications:

Bachelor's/Master's degree in relevant fields, Background in Mathematics or Statistics.

Key responsabilities:

  • Develop data analysis algorithms
  • Collaborate with dynamic teams of professionals
SynergisticIT logo
SynergisticIT Hrtech: Human Resources + Technology SME https://www.synergisticit.com/
201 - 500 Employees
See more SynergisticIT offers

Job description

Data Scientist
Salary- $70k-$125k Per Year
Job Type- Full-Time
Location- CA
Description:
At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few.
Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge.
Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.
Minimum Background and Qualifications Requirement:
Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
Must have Mathematics or Statistics background
Technical and Soft Skills Required
Experience in Python programming and understanding of the software development life cycle.
Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
Excellent written and verbal communication skills.
Highly motivated, self-learner, team player, and technically inquisitive.
Strong work ethics and creative problem-solving abilities.
Preferred skills:
Deep Learning
Data visualization
NLP
Scala
Django
Roles and Responsibilities:
Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
Assess project requirements and develop data analysis algorithms.
Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.
Benefits:
Competitive salary
Flexible work schedule & part-time off
E-verified
No relocation
H1B filing
On job technical support
Skill Enhancement
Opportunity to work with Fortune 500 Companies
Who Should Apply?
Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.
No third-party candidates or c2c candidates
If you are interested, please apply to the posting.
No phone calls please, Shortlisted candidates would be reached out.
Thanks, and Regards
 
Abhi Saurav
Sr. Talent Acquisition Specialist
Phone (510) – 347 8119
Board (510) 550-7200
Fax (510) 550-7156
Email : abhi@synergisticit.com
Website https://www.synergisticit.com
39141 Civic Centre Dr, suite 201, Fremont, CA
94539, United States

Required profile

Experience

Industry :
Hrtech: Human Resources + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Strong Work Ethic
  • Non-Verbal Communication
  • Mathematics
  • Teamwork
  • Creative Problem Solving
  • Self-Motivation
  • Technical Curiosity

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