Locmatic
Data Scientist
About the job
Job Description
We are seeking a Data Scientist with a focus on AI and Large Language Models (LLMs) to join our innovative team at Locmatic. In this full-time, on-site role, you will leverage advanced data and LLM technologies to empower food manufacturers and innovators with cutting-edge data insights to fuel their product development and go-to-market strategies.
Responsibilities:
• Process, analyze, and extract meaningful insights from unstructured data, such as restaurant menus, social media, reviews, and product descriptions.
• Utilize SQL and Python to wrangle, process, and store complex datasets, ensuring data integrity.
• Design, implement, and optimize data and AI pipelines for efficient data processing and enrichment
• Collaborate with the engineering team to develop scalable solutions on cloud platforms like AWS and Snowflake/Bigquery
• Work closely with cross-functional teams to understand business needs and translate them into data solutions.
Qualifications
Qualifications:
• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 1-2 years of experience with data science projects (through internships, personal projects, or professional roles).
• Strong proficiency in SQL and Python and experience with AWS and Docker.
• Solid understanding of data architecture, data modeling, and best practices for ensuring high-quality datasets.
• Familiarity with popular data frameworks and libraries for data processing and modeling, such as Snowflake/Bigquery, Spark, and dbt.
• Experience with LLMs, including prompt engineering and model fine-tuning, is preferred.
• Excellent collaboration skills with the ability to work cross-functionally in a dynamic environment.
Additional Information
What we offer:
• Work with an A+ team on cutting-edge Data and AI products.
• A startup work environment that offers authority and autonomy.
• Receive an incentive package tied to clear, measurable goals.
• Benefit from a 5-day workweek, lunch allowance, health and accidental insurance, and a flexible leave policy.