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Junior Data Scientist at SynergisticIT

Junior Data Scientist

SynergisticIT Houston, TX (On Site) Full-Time
About Us:
Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We Intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job description

Roles Responsibilities:
Help extract data from multiple sources and join it together to prepare a datapool for the project.
Analyze and recommend the best strategy to develop a powerful model based in the current data generated by our business.
Optimize the current Model to make it scalable and easily configurable for other projects
Develop the explanations to explain models recommendations to the team.
Be prepared for changes in business direction and understand when to adjust designs.

Skills Required:
Specialist in datasets management
Very fluent in SQL data bases for complex queries.
Able to carry on with data conversion from different sources
Ability to use Microsoft Power BI
Notions of Machine learning algorithms
Problem-solving aptitude
Excellent communication and presentation skills

Education Requirement: -
  • Bachelors in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred.

  • On Job Technical support
  • E- verified
  • Help to get H1B Employer.
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

Recommended Skills

  • Natural Language Processing
  • Data Visualization
  • Predictive Modelling
  • Artificial Neural Networks
  • Decision Tree Learning
  • Computer Sciences
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