Junior data analyst/junior AI engineer software programmer

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Job Overview

The Junior Data Analyst/Junior AI Engineer role at SynergisticIT encompasses a blend of responsibilities related to data analytics and artificial intelligence programming. The successful candidate will assist in the extraction, analysis, and visualization of data to inform decision-making processes while also contributing to AI model development and implementation. This hybrid position requires collaboration with cross-functional teams to streamline data-driven projects and leverage insights for business enhancements.

Job Responsibilities

• Assist in the collection, cleaning, and preprocessing of structured and unstructured data.
• Perform exploratory data analysis (EDA) to extract actionable insights and support project objectives.
• Develop and maintain dashboards and reports, ensuring data accuracy and relevancy.
• Collaborate with the AI team to refine and implement machine learning models and algorithms.
• Work closely with stakeholders to identify business needs and translate them into analytical solutions.
• Participate in code reviews and contribute to documentation of processes and methodologies.
• Stay updated on industry trends and advancements in data science and AI technologies.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Basic proficiency in programming languages such as Python, R, or Java.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or Matplotlib).
• Knowledge of databases and SQL is preferred.
• Understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and the ability to work collaboratively in a team environment.

Technologies & Tools

In this position, the Junior Data Analyst/Junior AI Engineer will utilize a variety of technologies and tools, including programming languages such as Python and R for data analysis, SQL for database querying, and machine learning frameworks like TensorFlow and PyTorch for AI development. Familiarity with data visualization platforms like Tableau or Power BI is also essential to effectively communicate findings.

Ideal Candidates

The ideal candidate for this role will demonstrate a strong curiosity for data and technology, coupled with an analytical mindset that drives effective problem-solving. A proactive attitude and eagerness to learn are essential, as the position entails continuous growth in both data analytics and AI engineering domains. Strong communication skills will also play a crucial role in collaborating with diverse teams and stakeholders.