**Work Schedule**
Other
**Environmental Conditions**
Office
Senior Data Scientist
**Responsibilities**:
- Collaborate effectively with cross-functional stakeholders to identify questions and business challenges, and develop plans of action to define, design, and develop machine learning models and algorithms.
- Navigate large, complex datasets for data mining, profiling, and curation, as well as utilize natural language processing (NLP) techniques.
- Design, develop, and program methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources.
- Develop and evaluate predictive models and algorithms that optimize value extraction from data to support business process improvements and solve challenges.
**Requirements**:
- Bachelor's degree or equivalent in a relevant field, with a minimum of 5+ years of relevant experience.
- Proficiency in programming languages such as Python, R, or similar, with experience in building AI models and utilizing relevant libraries and frameworks.
- Demonstrated skills in exploratory data analysis techniques, machine learning algorithms, model validation techniques, and data visualization techniques.
- In-depth knowledge of technical areas such as Snowflake, Python, Spark, R, Shiny, Jupyter, and associated packages and libraries (e.g., numpy, pandas, SciPy, OpenAI).




- Familiarity with cloud architectures, including Databricks, lambda functions, Mlflow, SageMaker, TensorFlow, etc.
- Proficiency in data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data.
- Solid understanding of data management approaches, including relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores.
- Proven ability to deliver accurate work products in a cross-functional matrix environment, managing multiple competing priorities.
- Strong analytical skills and ability to develop detailed analysis, models, plan calculations, and tools.
- Excellent communication skills, with the ability to effectively communicate and influence stakeholders at all levels.
- Experience working in the software development lifecycle using data science frameworks like Databricks and MLflow is preferred.
Working Conditions:
- This position offers a fully remote work arrangement, allowing you to work from home.
- Travel requirements for this role are rare, but occasional domestic or international travel may be necessary.
Please note that this position does not involve management responsibilities and has a billable percentage of 0% - 20%.

📌 Senior Ai Engineer (México)
🏢 Thermo Fisher Scientific
📍 México