Sr Data Scientist
- Employer
- Public Storage
- Location
- Glendale
- Salary
- Competitive
- Closing date
- 4 Jun 2023
View more
- Employer Sector
- Scientific
- Contract Type
- Permanent
- Hours
- Full Time
- Travel
- None
- Job Type
- Data Science
You need to sign in or create an account to save a job.
Job Description
We are currently looking for a Senior Data Scientist to join our Data & Analytics practice in Glendale, CA.
The Senior Data Scientist will have demonstrated his/her technical skills to lead the design and deployment of data science solutions that balance SOTA with team productivity, model reproducibility as well as support experimentation at scale, with a positive-focused, yet relentless goal for continuous improvement.
The role will lead the people, process and tool choices that support the efforts to build and deploy models that explain the real world, using a must-have combination of intuition, math and programming (Python/R and SQL are mandatory). She/He will be a continuously learning advocate and teacher with a talent for breaking down complex systems into solvable components and executing against that vision. As part of the role is to mentor data scientists and analysts, you love working with the team on any mix of issues that come to light such as in-depth technical/code reviews, hackathons, or whiteboarding to break down problems from multiple angles.
Responsibilities
Exceptional verbal and written skills to convey ideas, problems and solutions
Able to establish trust and confidence as the data science team lead, up, across and down the organization as needed
Responsible for designing team processes and applying design patterns that apply statistical and model rigor
Balance design choices with calculated trade-offs and revisit proactively
SME on algorithms and designs code that can be refactored easily by a data engineers
Builds repo and maintains a library of models that can be applied/refactored on similar design patterns
Expert in both unstructured and structured data set ingestion and classification, regression, deep learning etc.
Mentors and trains teams in new techniques and pushes boundaries of existing technology to deliver enterprise value
Owns the Confluence knowledge repository and GitHub model repo
Refresh, troubleshoot and update models as needed.
Thought leader on how to converge available data, transfer learning from other projects and test new algorithms that optimize across large, ambiguous data sets
Coordinate design and architecture with data engineering resources
Compensation
Base Pay Range: $140,000 - $180,000
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of our total awards approach to compensation which is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses or incentives.
We are currently looking for a Senior Data Scientist to join our Data & Analytics practice in Glendale, CA.
The Senior Data Scientist will have demonstrated his/her technical skills to lead the design and deployment of data science solutions that balance SOTA with team productivity, model reproducibility as well as support experimentation at scale, with a positive-focused, yet relentless goal for continuous improvement.
The role will lead the people, process and tool choices that support the efforts to build and deploy models that explain the real world, using a must-have combination of intuition, math and programming (Python/R and SQL are mandatory). She/He will be a continuously learning advocate and teacher with a talent for breaking down complex systems into solvable components and executing against that vision. As part of the role is to mentor data scientists and analysts, you love working with the team on any mix of issues that come to light such as in-depth technical/code reviews, hackathons, or whiteboarding to break down problems from multiple angles.
Responsibilities
Exceptional verbal and written skills to convey ideas, problems and solutions
Able to establish trust and confidence as the data science team lead, up, across and down the organization as needed
Responsible for designing team processes and applying design patterns that apply statistical and model rigor
Balance design choices with calculated trade-offs and revisit proactively
SME on algorithms and designs code that can be refactored easily by a data engineers
Builds repo and maintains a library of models that can be applied/refactored on similar design patterns
Expert in both unstructured and structured data set ingestion and classification, regression, deep learning etc.
Mentors and trains teams in new techniques and pushes boundaries of existing technology to deliver enterprise value
Owns the Confluence knowledge repository and GitHub model repo
Refresh, troubleshoot and update models as needed.
Thought leader on how to converge available data, transfer learning from other projects and test new algorithms that optimize across large, ambiguous data sets
Coordinate design and architecture with data engineering resources
Compensation
Base Pay Range: $140,000 - $180,000
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of our total awards approach to compensation which is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses or incentives.
You need to sign in or create an account to save a job.
Get job alerts
Create a job alert and receive personalised job recommendations straight to your inbox.
Create alert