Senior Data Scientist

Job Description
Senior Data Scientist
We are seeking a talented and experienced Senior Data Scientist with a strong background in mathematics, statistics, and programming to join our team. As a Senior Data Scientist, you will play a crucial role in building AI models and applying advanced analytics techniques to derive valuable insights from complex and high-dimensional datasets.
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.
• Apply strong mathematical and statistical principles to generate and test hypotheses, analyze and interpret results, and provide insights based on data analysis.
• 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.
• Apply generative AI techniques through APIs or custom workflows to enhance data analysis and model development.

• Bachelor's degree or equivalent in a relevant field, with a minimum of 5+ years of relevant experience.
• Strong mathematical and statistical background, with expertise in applying these principles to machine learning and AI model development.
• 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.
• Demonstrated creativity in identifying non-traditional data sources and applying leading analytic techniques.
• Experience working in the software development lifecycle using data science frameworks like Databricks and MLflow is preferred.

• 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.