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Posted 3 days ago
Job description
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.
- Deep Learning
- Data visualization
- NLP
- Scala
- Django
- 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.
Candidate's Outcome : Best Programmers in USA | Best Coding Bootcamp - SynergisticIT
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.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Junior Data Analyst?
A: To succeed as a Junior Data Analyst, key technical skills include proficiency in data visualization tools such as Tableau or Power BI, programming languages like Python or R, and familiarity with databases like MySQL or SQL Server. Additionally, strong soft skills like effective communication, problem-solving, and analytical thinking are crucial for interpreting complex data insights and presenting findings to stakeholders. By combining these technical and soft skills, Junior Data Analysts can effectively drive business decisions and set a strong foundation for career growth and advancement in the field.
Q: What is the career path for a Junior Data Analyst?
A: A Junior Data Analyst typically starts their career progression in an entry-level role, where they gain hands-on experience with data analysis tools and techniques, and gradually move into mid-level positions such as Data Analyst or Business Analyst, where they develop expertise in data visualization, statistical modeling, and business acumen. As they progress to senior roles like Senior Data Analyst or Data Scientist, they take on leadership responsibilities, mentor junior team members, and drive strategic decision-making through advanced data analysis and machine learning techniques. Ultimately, a successful Junior Data Analyst can pursue long-term career prospects in leadership positions, such as Data Manager or Director of Analytics, or transition into related fields like business consulting, product management, or entrepreneurship.
