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Data Scientist @ Locmatic

NPOnsiteFull-timeJob reference REF3Q
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About this role

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:

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.

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.

Skills

Information TechnologyNot ApplicableInformation Technology And Services

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