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Data Scientist
hace 2 meses
About Us
MAQUET MEXICANA, S. DE R.L. DE C.V. is a leading medical device company dedicated to improving patient outcomes through innovative solutions. We are committed to diversity, equity, and inclusion, and to sustainability, with a goal to be CO2 neutral by 2025.
Job Purpose
The Data Scientist will play a critical role in developing and maintaining our data platform, designing and implementing data ingestion pipelines, data cleansing procedures, analytics notebooks, and storage structures. They will assist in shaping data governance protocols, data quality assurance processes, performance and cost optimization, disaster recovery planning, and DevOps processes, collaborating closely within the Digital Engineering IT group, as well as with business analysts, data consumption teams, and machine learning groups.
Key Responsibilities
- Create data science-based solutions involving modern machine learning concepts applied to business use cases.
- Work in and develop large language models or other generative AI capabilities to address business use cases.
- Perform data visualizations and exploratory data analysis to better understand the usage of existing data to solve business problems.
- Develop code to categorize, store, and catalog data clusters to better prepare them for use in machine learning solutions.
- Run large-scale experiments, from unsupervised pre-training to fine-tuning, retrieval augmentation, and prompt engineering.
- Help with MLOps as necessary to study and maintain the good health of models running in production.
- Scale models (LLMs or otherwise) for use in production.
- Design and develop high-quality prompts and templates that guide the behavior and responses of LLMs.
- Craft prompts to elicit specific information or control the model's output, ensuring desired accuracy, relevance, and language fluency. Optimize prompts to improve user interactions and system performance.
- Evaluate LLM models on statistical tests, business metrics, and bias and other regulatory metrics.
- Investigate the current state of the art of experimentation practices and causal inferencing/ML techniques, identifying opportunities for upscaling the methodology best practices.
- Develop and execute advanced data-driven experiments to optimize various aspects of our business.
- Creation of test hypotheses, experiment design, including KPI selection, and collection and analysis of data.
Requirements
- Bachelor's Degree in Computer Science or Data Science, or equivalent work experience.
- A minimum of 5 years of relevant experience.
- Experience with Azure Cloud Services, Azure Databricks, Azure Data Lake Storage, and others.
- Proficiency in SQL, Python, or R (with knowledge of Pandas, NumPy, etc.).
- Proficiency in popular machine learning frameworks (Scikit-Learn, TensorFlow, or PyTorch).
- Proficiency in popular data visualization tools (Matplotlib, Seaborn, or Plotly).
- Experience with big data tools (Hadoop, Spark, etc.) is a plus.
- Understanding of ethical considerations in Data Science, including privacy, bias, is a plus.
- Have taken relevant courses in Math, Statistics, and Data Science that are required to be a Data Scientist.
- Experience and skills in sourcing data, EDA, data wrangling and cleansing, reading and writing data in a hyper-scaler environment.
- Knowledge of the data science pipeline (end-to-end) and associated tools.
- Experience in designing and implementing data science solutions in a hyper-scaler environment.
- Experience using a notebook-based environment and have opinions on what works best for you.
- Familiarity with using LLM technologies to build enterprise-wide solutions.
- Experience with fine-tuning vs inference with LLMs.
- Proven ability to successfully handle multiple priorities and possess a high level of discipline while remaining flexible.
- Excellent interpersonal skills in dealing with internal customers at all levels in a team environment. Strong written and oral communication skills are necessary.
- Strong, demonstrated computer skills, including proficiency in MS Office applications (Word/Excel).
