Remote Senior Data Scientistv (Remote - Latin America)

Description:

• The position is for a Senior Data Scientist based in Latin America, posted by Jobgether on behalf of Puzzle.
• The role involves shaping data-driven products that enhance interactions with the job market and education landscape.
• Responsibilities include leading advanced modeling efforts, collaborating with cross-functional teams, and driving the creation of innovative features.
• The position allows for the application of cutting-edge machine learning and NLP techniques to real-world challenges.
• The work environment is remote-first and impact-focused, with contributions influencing key strategic outcomes.
• Key accountabilities include designing and deploying predictive models, fine-tuning classifiers, applying NLP tools, writing scalable Python code, ensuring model performance, mentoring junior team members, and supporting product planning.

Requirements:

• Candidates must have 5+ years of experience in data science with a proven track record of building and deploying ML models in production.
• Proficiency in Python and libraries such as scikit-learn, pandas, spaCy, transformers, and NumPy is required.
• Strong experience with NLP, LLM fine-tuning, and model classification techniques is necessary.
• Familiarity with AWS (especially S3), Snowflake, Dask/Coiled, and strong SQL capabilities is expected.
• Knowledge of entity matching, taxonomy design, and data governance best practices is important.
• Excellent communication and documentation skills are required, along with experience leading initiatives and collaborating with non-technical stakeholders.
• Preferred qualifications include a background in EdTech or labor market analytics, an advanced degree in a relevant field, and knowledge of data privacy laws (CCPA, FERPA).

Benefits:

• The position offers a competitive USD salary based on skills and experience.
• It is a full-time, fully remote role within Latin America.
• Employees receive generous paid time off to support work-life balance.
• There is a private health insurance subsidy to contribute to healthcare costs.
• Annual salary reviews are conducted to recognize growth and contributions.
• Paid training and certification opportunities are provided to support professional development.