Job Description:
Essential Functions:
- 20% Leads all data mining and extraction activities and applies algorithms to derive insights.
- 15% Synthesizes analytical findings for consumption by teams and senior executives.
- 15% Leads proliferation of machine learning and artificial intelligence solutions.
- 15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and data constraints.
- 15% Mentors and develops junior data scientists for advanced data analysis.
- 10% Translates business priorities into data science deliverables.
- 10% Leads implementation of ML/AI/DS best practices for new data products and builds robust, scalable software.
Qualifications:
- Ability to perform each essential duty satisfactorily.
- Knowledge, skill, and ability as listed below.
- Reasonable accommodations may be made for individuals with disabilities.
- Education: Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field.
- Experience: 8 years of relevant work experience.
- In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required.
Preferred Qualifications:
Knowledge, Skills, and Abilities:
- Effective communication and documentation skills.
- Proficiency with a wide variety of data science tools and frameworks.
- Support for data exploration and analysis tasks.
- Knowledge of model evaluation, tuning, performance, operationalization, and scalability of scientific techniques.
- Proficiency in statistical modeling applications.
- Proficiency in advanced SQL across multiple syntaxes.