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Pocket Worlds | Austin, TX, United States |
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This job is closed
Data Science Team Lead
Responsibilities:
- Work with the head of Data Organization to develop, own and drive the vision & strategy for the company’s data science/AI initiatives.Â
- Be the technical leader in developing data science and machine learning solutions to drive business growth and operational efficiencies.
- Build, develop, and manage a high-performing data science team through direct coaching and mentorship.
- Perform as a hands-on coach in leading the full ML/AI development cycle: design/experiment, develop, validate, deploy, and analyze.
- Collaborate with all functions of the company to ensure that data science efforts are translated to positive business impacts.Â
- Other duties as assigned
Qualifications:
- Data driven mindset with a graduate degree in Computer Science, Data Science, AI/ML, Mathematics/Statistics, Engineering, or an equivalent technical field.
- A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills, and relentless drive for progress.
- 7+ years of relevant experience in software development, data science, or data analytics.
- 4+ years of experience in pricing, marketing, product and risk analytics would be highly valued.Â
- Experience with experimental design, A/B testing, statistical inference/causal analysis is highly preferred.Â
- Deep understanding of predictive modeling process from data exploration, methodology (statistical models, unsupervised and supervised ML models) to model validation, deployment and performance monitoring.
- Professional experience with a programming language such as R or Python, and advanced SQL, Excel, and visualization tools such as Tableau/Looker.
- Experience with data science modeling toolsets such as Pandas, TensorFlow, PyTorch, Scikit-learn.
- Exceptional ability to communicate complex ideas effectively, both verbal and written, to influence cross-functional stakeholders.
Nice to Have:
- While not a hard requirement, experience with crypto based products and services is a plus.
- Experience working for a rapidly growing startup, and managing change
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.