Include on Resume: Citizenship Status, Current Location
Include in the Notes Section: Expected FTE Salary for Direct Hire
Are you ok with H1B's? No
Are you ok with H1B's? No
Do candidates need to be local to interview? No
If not, will they be required onsite when Cox returns? Preferred but not required
Onsite requirements: 5 days/week or Flex Onsite Schedule 2-3 days per week/month? Not sure yet how many days but will be flexible and not 5 days/week
Target Years of Exp: BS/BA with 5 years’ experience; MS with 2 years’ experience; PhD with up to 2 years' experience
Top 5 Must Haves:
The ability to present findings clearly and concisely to team members and data science leadership
Strong problem-solving skills with an emphasis on product development
Proven experience applying descriptive, predictive, and prescriptive statistics to real-world problems
The ability and inclination to coach junior staff
A drive to learn and master new technologies and techniques
The Senior Data Scientist is responsible for working on all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
Work independently on all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
Assist with problem formulation and the selection of an appropriate methodology.
Present findings and recommendations to stakeholders.
Maintain an awareness of trends in the field; research and suggest new methodologies.
Degree in Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field.
Bachelor’s degree with minimum 5+ years of experience, Master’s Degree with 2+ years’ experience; PhD with up to 2+ years' experience.
Strong problem-solving skills with an emphasis on product development.
A drive to learn and master new technologies and techniques.
Proven experience applying descriptive, predictive, and prescriptive statistics to real-world problems.
Experience querying relational databases using SQL.
Ability to develop and maintain production-ready code.
Experience working with Amazon Web Services (AWS) strongly preferred.
The ability to present findings clearly and concisely to team members and data science leadership.
The ability and inclination to coach junior staff.
Expertise in one or more of the following strongly preferred:
Generalized linear models, time series models, forecasting techniques, cluster analysis, and principle component analysis.
Linear and mixed integer optimization, discrete event simulation, heuristic methods, and network flow analysis.
Machine Learning: Selecting, tuning, and implementing a variety of common supervised and unsupervised models, including decision trees, nearest neighbor models, and neural nets; and several standard ML libraries, such as scikit-learn, TensorFlow, or similar.
Experience creating compelling data visualizations strongly preferred.