entry level software programmer/Junior data scientist/ML engineer
Job Description
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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.
Job Overview
SynergisticIT is seeking a motivated and detail-oriented Entry Level Software Programmer/Junior Data Scientist/ML Engineer to join our dynamic team. The successful candidate will be responsible for assisting in the development and implementation of software solutions, as well as applying machine learning methodologies to derive insights from data. This role requires a strong commitment to continuous learning and teamwork, with opportunities to contribute to innovative projects while honing technical skills in a collaborative environment.
Job Responsibilities
- Assist in the design, development, and maintenance of software applications.
- Collaborate with senior engineers and data scientists on various projects.
- Execute data analysis and machine learning modeling to support decision-making.
- Perform data preprocessing, cleaning, and transformation tasks for optimal model performance.
- Participate in code reviews and contribute to software documentation.
- Stay current with industry trends and technologies to enhance programming and analytical skills.
- Test software and troubleshoot issues reported by users.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.
- Basic understanding of programming languages such as Python, Java, or C++.
- Familiarity with machine learning libraries and frameworks, such as TensorFlow or scikit-learn.
- Knowledge of databases and data manipulation languages, such as SQL.
- Experience with data visualization tools (e.g., Tableau, Matplotlib) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Technologies & Tools
The successful candidate will utilize various technologies and tools including programming languages such as Python and Java, data analysis tools like pandas and NumPy, machine learning frameworks including TensorFlow and PyTorch, as well as data visualization tools like Tableau and Matplotlib. Proficiency in version control systems like Git will also be advantageous in managing and collaborating on code development.
Ideal Candidates
Ideal candidates for this position will possess a strong enthusiasm for technology and data analytics, coupled with a proactive attitude towards learning new skills. They should be detail-oriented, capable of working independently and in team settings, and demonstrate strong problem-solving capabilities. Additionally, the ability to communicate complex technical concepts clearly and effectively to non-technical stakeholders is essential for success in this role.
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