Job TitleSynergistic IT is a full-service staffing and placement firm servicing clients 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 outcomes.
We don't just help you secure a tech job but build a solid career in technology.Job DescriptionRoles and Responsibilities:Help extract data from multiple sources and join it together to prepare a datapool for the project.Analyse 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 RequiredSpecialist in datasets management. Very fluent in SQL databases for complex queries. Ability 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 RequirementBachelors in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred.BenefitsOn job technical supportE-verifiedFull time positionCandidates who are open to invest 4-5 months in learning about Java or Python and then have a job in the Fortune 500 companies. After training you will get an opportunity to work with companies like Apple, Google, Wells Fargo, PayPal, eBay, etc.
Candidates 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 the IT industry.If you do respond via email, 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.