Staff Data Scientist - AI Ethics & ESG

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Salary Range

Seattle 183,000 - 266,000 USD per year

Your Job

As a member of the AI Ethics team at Indeed, you’ll work within the Environmental, Social, and Governance (ESG) organization and across the business to build tools, systems, and processes that advance responsible and inclusive AI. Your work will directly contribute to Indeed’s mission of helping all people get jobs by reducing bias and increasing fairness in our algorithmic systems. You will have the opportunity to work with machine learning and artificial intelligence systems of widely varying scope and complexity and your work will directly impact the development of more inclusive products. We are a multi-disciplinary team that sits at the intersection of applied research and technical execution with high visibility, high impact, and enthusiastic support.

Responsibilities:

• Design, build, and run large-scale systems to evaluate the impact of machine learning models and algorithmic products on fairness in the labor market
• Quickly understand, reason about, and interact with diverse and complex machine learning training pipelines and production architectures to understand and diagnose potential sources of bias
• Develop bias and fairness measurements that map to varying legal and regulatory definitions and integrate them into large-scale, complex machine learning systems
• Partner with software engineering and implement solutions for fairness observability and intervention
• Research and develop methods that measure inequities in datasets, models, or products
• Partner closely with data scientists, product scientists, software engineers, product teams, security, privacy, legal, and other stakeholders to define and implement ethical data practices
• Translate complex, ambiguous questions into concrete analysis and action
• Communicate findings to diverse technical and non-technical stakeholders with differing perspectives and needs

Who You Are

Requirements:

• 7+ years of recent professional industry experience in data science/software engineering
• Expertise in machine learning and statistical modeling
• Excited to answer product/engineering questions with data
• Strong communication and collaboration skills
• Ability to write and present results to both technical and non-technical audiences
• Driven to proactively help their teammates and Indeed’s products
• Experience designing and conducting complex projects
• Strong ability to code in Python

We get excited about candidates who:

• Are passionate about diversity and inclusion in hiring 
• Ph.D. or M.S. in a quantitative field (e.g., Quantitative Social Science, Computer Science, Statistics, Applied Mathematics, Physics, Machine Learning) 
• Have expertise within AI ethics, including algorithmic fairness, accountability, transparency, and privacy-enhancing technology 
• Are familiar with recent developments in deep learning, especially in natural language processing, explainability and interpretability, and the intersection thereof
• Have experience working in the intersection of technology, society, and ethics
• Have expertise in labor market discrimination
• Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of data science products
• Are proficient in small data modeling work: Python, R, Julia, Octave
• Are proficient in big data modeling work: Hadoop, Pig, Scala, Spark
• Can fish for data: SQL, Pandas, MongoDB
• Deploy data science solutions: Java, Python, C++
• Communicate concisely and persuasively with technical and non-technical audiences