Job Description
Work Schedule
Other
Environmental Conditions
Office
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:
Please note that this position does not involve management responsibilities and has a billable percentage of 0% - 20%.
Other
Environmental Conditions
Office
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.
Please note that this position does not involve management responsibilities and has a billable percentage of 0% - 20%.