Data Scientist/Engineer/Analyst - Entry Level

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.

Overview

As an Entry-Level Data Scientist/Engineer/Analyst at SynergisticIT, you will play a pivotal role in the collection, analysis, and interpretation of complex data sets to help drive strategic decision-making. You will collaborate with cross-functional teams to develop models and algorithms that enhance business processes and performance. This entry-level position offers an excellent opportunity for recent graduates to apply their analytical skills and technical knowledge in a dynamic work environment.

Job Responsibilities

• Assist in the collection and cleaning of data from various sources.
• Perform exploratory data analysis to identify trends and patterns.
• Develop and implement statistical models and algorithms to forecast business metrics.
• Collaborate with senior data professionals to design data-driven solutions.
• Prepare reports and presentations to communicate findings to stakeholders.
• Evaluate and enhance data collection processes for improved accuracy and efficiency.
• Participate in code reviews and maintain documentation for all projects.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Familiarity with data analysis and visualization tools such as Python, R, or SQL.
• Understanding of statistical methodologies and their application in real-world scenarios.
• Basic knowledge of machine learning concepts and algorithms is a plus.
• Strong analytical and problem-solving abilities.
• Effective communication skills for presenting complex information clearly.
• Ability to work collaboratively in a team setting.

Technologies & Tools

The ideal candidate will work with a variety of technologies and tools that enhance data analysis and machine learning capabilities. These include programming languages such as Python and R for data manipulation and modeling, SQL for database queries, and visualization tools such as Tableau or Power BI for presenting data insights effectively. Familiarity with cloud-based services, such as AWS or Google Cloud Platform, and version control systems, such as Git, will also be beneficial.

Ideal Candidates

The ideal candidates are those who are not only technically proficient but also possess a genuine curiosity for data and its implications. Candidates should demonstrate a continuous desire to learn and adapt within a fast-paced environment. Excellent interpersonal skills, a strong work ethic, and the ability to think critically will set you apart. A proactive attitude toward seeking innovative solutions will also contribute to your success in this role at SynergisticIT.