Entry Level Data Scientist/Analyst/Engineer - Remote

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Position Overview

SynergisticIT is seeking an enthusiastic and motivated Entry Level Data Scientist/Analyst/Engineer to join our dynamic team in a remote capacity. In this role, the successful candidate will be responsible for analyzing complex datasets, developing data-driven insights, and supporting data science projects that enhance our operational capabilities. The Entry Level Data Scientist/Analyst/Engineer will contribute to various projects by employing analytical methods, collaborating with cross-functional teams, and leveraging modern tools and technologies to achieve strategic objectives.

Job Responsibilities

• Assist in collecting, cleaning, and organizing extensive datasets for analysis.
• Employ statistical methods to identify trends and patterns within the data.
• Support in creating visualizations to effectively communicate data findings to stakeholders.
• Collaborate with senior data scientists and engineers on various data science projects.
• Contribute to the development of predictive models and algorithms.
• Participate in data quality assurance and validation processes to ensure accuracy.
• Engage in continuous learning and development to stay updated with emerging data technologies.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Basic understanding of statistical analysis and data manipulation techniques.
• Familiarity with programming languages such as Python or R.
• Knowledge of data visualization tools like Tableau or Power BI is a plus.
• Strong analytical and problem-solving skills with a detail-oriented mindset.
• Effective communication skills to convey complex ideas clearly and concisely.
• Willingness to learn and adapt in a fast-paced environment.

Technologies & Tools

The Entry Level Data Scientist/Analyst/Engineer will work with a range of technologies and tools tailored for data analysis and manipulation. These include programming languages such as Python and R, data visualization tools like Tableau or Power BI, and database management systems like SQL. Familiarity with machine learning libraries and frameworks such as Scikit-learn or TensorFlow may also be beneficial. The role may involve usage of cloud platforms for data storage and computation.

Ideal Candidates

The ideal candidate for this position is a proactive and analytical thinker who possesses a genuine passion for data and technology. They should be able to work independently while thriving in a collaborative environment, showcasing excellent problem-solving abilities. A strong desire for continuous learning and improvement, along with the capability to communicate findings effectively, will set the successful candidate apart in our innovative team.