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Job description
Synergistic 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.
Roles and 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 model 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 databases 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.
Benefits:
- On job technical support
- E-verified
- Filing of H1b and Green card
- Full time position
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 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
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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.