Data Analyst Machine Learning - Hybrid

JOB DESCRIPTION

Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

Required Skills / Experience (Skills that the successful candidate(s) must have)

• Bachelor's degree in data science, data analytics, or a related field.
• Proficiency in programming languages : SQL, Python and PySpark.
• Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
• Experience with GenAI and large language models.
• Must know how to analyze the root cause of dashboard errors.
• Have experience in ML Ops and have strong coding background.
• Have experience with Natural Language Processing (NLP).
• Expertise in data mining and machine learning.
• Knowledge or experience with A / B Testing.
• Working knowledge of designing, training, and implementing machine learning models.
• Familiarity with cloud-based infrastructure.
• 7 or more years of experience in data science and machine learning engineering.

Additional Skills (Skills that are a plus, but not required)

Responsibilities

Required Skills : Machine Learning,Python,SQL

Basic Qualification :

Additional Skills : AI Developer,Web Developer,Database Developer

Background Check : No

Drug Screen : No