Data Analyst-Entry Level Job at Emonics LLC in San Francisco

Emonics LLC is seeking an enthusiastic and motivated Entry-Level Machine Learning Engineer to join our growing data science team in Dallas, TX. The ideal candidate will have a foundational understanding of machine learning concepts, data analysis, and software development practices, with a strong desire to learn and grow within a dynamic and collaborative environment.

Key Responsibilities

• Assist in developing, training, and deploying machine learning models and algorithms.
• Collaborate with data scientists and software engineers to collect, clean, and preprocess large datasets.
• Support the design and implementation of scalable data pipelines and ML workflows.
• Conduct model performance testing and optimize algorithms for accuracy and efficiency.
• Participate in code reviews, documentation, and version control practices.
• Stay up to date with emerging trends and tools in AI, ML, and data engineering.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Basic knowledge of machine learning concepts (supervised, unsupervised learning, etc.).
• Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Understanding of data manipulation and analysis using Pandas, NumPy, or SQL.
• Strong analytical, problem‑solving, and communication skills.
• Eagerness to learn new technologies and contribute to a team environment.

Preferred Qualifications

• Exposure to cloud platforms (AWS, Azure, or GCP).
• Experience with version control systems (Git/GitHub).
• Knowledge of data visualization tools (Matplotlib, Seaborn, or Power BI).
• Internship or project experience in data science or machine learning.

What We Offer

• Competitive entry‑level salary and comprehensive benefits package.
• Professional development and mentorship opportunities.
• Collaborative and innovative work environment.
• Opportunities to work on real‑world AI and ML projects that make an impact.

How to Apply

Interested candidates can apply by submitting their resume and a brief cover letter highlighting relevant coursework, projects, or experience to:

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