Senior Data Scientist, RegLab

Key Skills

Algorithms, Data Architecture, Data Mining, Data Modeling, Data science techniques, Data structuring, Database, Design, Econometrics, Effective communication skills, Machine learning techniques, Natural Language Processing (NLP)

Job Description

The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Senior Data Scientist to help drive forward a diverse research program focused on machine learning and policy evaluation. We are looking for someone who is creative, has strong technical skills, and is motivated by the mission of the lab.

About Us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.

As Senior Data Scientist, you will:

• Work closely with the Faculty Director and the rest of the RegLab team to explore, identify, and implement research projects.
• Lead the design and development of multiple projects using state-of-the-art machine learning models, algorithms, statistical models, and other programs designed to improve the public sector.
• Work with large untapped data sets, such as: health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15cm/pixel), and the largest publicly available corpus of legal text.
• Mentor and/or manage other data scientists and junior researchers.
• Have the opportunity to receive co-authorship on research papers.

Core Classification Duties:

• Design big data systems that are scalable, optimized and fault-tolerant.
• Work closely with scientific staff and project managers to understand their data requirements for existing and future projects.
• Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust.
• Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk.
• Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging big data, analytics tools and technologies.
• Work with IT and data owners to understand the types of data collected in various databases and data warehouses.
• Research and suggest new toolsets/methods to improve data ingestion, storage, and data access.

Qualifications:

• A bachelor’s degree (MS or Ph.D. preferred) in a scientific or analytic field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and five years of (a) relevant professional experience or (b) combination of education and relevant professional experience.
• Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval).
• Experience with database systems and data modeling, structured and unstructured.
• Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques.
• Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies.
• Ability to use and integrate security controls for web applications, mobile platforms, and backend systems.
• Experience deploying reliable data systems and data quality management.
• Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable data platforms.
• Ability to document use cases, solutions and recommendations.
• Demonstrated excellence in written and verbal communication skills.

Application Instructions: We invite you to apply by clicking on the Apply for Job button. To be considered, please submit the following items along with your online application:

• CV
• Project and code samples or Github
• Transcript (if graduated within 3 years)

Salary and Benefits: This position is for an initial one-year fixed term period with the opportunity for extension and/or transition to ongoing status based on performance and budget. 

The expected pay range for this position is $142,000 to $169,000 per annum.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.