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%.