Intern in Data Science at Wealthsimple, Canada's largest fintech company. Contributing to innovative projects in financial services while receiving mentorship and support.
About the role
- Lead Data Scientist enhancing predictive models for electric system failures at PG&E. Engaging in data science communities and educating stakeholders about data insights and solutions.
Responsibilities
- Creates, applies, and evaluates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
- Applies and evaluates data science/ machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.
- Writes and documents complex and reusable python functions as well as multi-modular python code for data science.
- As a technical leader, provides thought leadership in the use of a ML algorithms for solving business problems.
- Mentors junior data scientists and drives standardization in process and toolsets across the data science community at PG&E.
- Collaborates with analytics platform owners to prioritize and drive development of scalable data science capabilities.
- Acts as peer reviewer for complex models/AI algorithm proposals.
- Recognizes and prioritizes the most important work related to data science models to achieve highest operational and strategic impact for analytics in the business.
- Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, analytics, and data-driven business processes.
- Presents findings and makes recommendations to executive leadership and cross-functional management.
Requirements
- Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
- 8 years in data science OR 2 years, if possess Doctoral Degree or higher, as described above
- Experience in utility and energy industries
- Thought leadership in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through peer reviewed journal publications, intellectual property/patent achievements, conference presentations, volunteering in professional organizations for the advancement of the field, participation in externally sponsored research projects, open source contributions, or similar activities.
- Proficiency with data science standards and processes (model evaluation, optimization, feature engineering, etc) along with best practices to implement them.
- Proficiency with commonly used data science programming languages, packages, and software tools for building data science/machine learning models and algorithms
- Mastery in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
- Ability to clearly communicate complex technical details and insights to colleagues, stakeholders, and leadership
- Leadership in developing, coaching, teaching and mentoring others to meet both their career goals and the organization goals.
Benefits
- This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist leveraging AI and advanced analytics for data - led decisions at Zurich. Collaborating across teams to enhance the data - driven strategy and supporting business needs through data.
Data Scientist II focusing on fraud and model governance at Bank of America. Interpreting datasets, developing strategies, and applying analytics for decision making.
Data Scientist responsible for interpreting large datasets and managing fraud prevention strategies at Bank of America. Collaborating with various teams to improve risk management and reduce fraud losses.
Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
Data Scientist supporting cross - functional AI/ML initiatives at Royal Caribbean Group. Designing, developing, and delivering analytical solutions with a focus on machine learning.
Health Data Scientist combining expertise in health communication, data analytics, and behavioral research. Joining a dynamic team to tackle global health challenges using data - driven methodologies.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.
AI Agent Developer designing and implementing autonomous intelligent agents using AI frameworks. Collaborating across teams to optimize agent capabilities and performance.