Head of Machine Learning and Data Science

Possible Finance Inc.
Seattle, Washington
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  • Job Type
    Employee
  • Job Status
    Full Time

Head of Machine Learning and Data Science

 

Job Description: Conduct research and develop unique machine learning systems, backend architecture, and data warehouses using cutting edge technologies. Define the company’s research strategy and data processes. Build and improve the company’s underwriting practices and credit risk modeling. Establish and supervise the development process, setting short-term technology objectives and assessing progress, as defined by the selected development methodology. Lead the company’s research group to conduct user financial health data analysis, with a focus on big data and machine learning. Select talent, mentor new team members, and oversee collaboration on team deliverables. Achieve company goals by identifying and prioritizing technology development initiatives and setting timetables for the evaluation, development, and deployment of technology products and services. Maintain up-to-date knowledge of technology standards, industry trends, emerging technologies, and technology development best practices. Ensure reliable code quality and architecture. Lead the company’s data acquisition and integration strategy. Share knowledge with and educate the company’s management, staff, partners, customers, and stakeholders regarding the company’s overall vision, opportunities, and challenges related to data acquisition, data storage, data analysis, and data lifecycle. Promote achievement of the company’s technology goals by developing policies for technological innovation, business processes, and other intellectual property.

 

Minimum Requirements:

 

Education:

Master’s or foreign equivalent degree in Computer Science, Computer Engineering, Robotics, Statistics, Machine Learning, Applied Mathematics, or a related field.

 

Experience:

Five years of experience in: developing software systems, ETL pipelines, data warehouses, and data analytics using Python, SQL, Pandas, Numpy, SciPy, Scikit-learn, Tableau, Jupyter notebooks, and AWS; developing learning systems, including machine learning, using TensorFlow, PyTorch, Keras, Python, and AWS; managing a team of data scientists; data analysis and business intelligence tools like Power BI, Tableau, Jupyter notebooks, and RStudio; AWS cloud ecosystem; Python, SQL, R, Spark, Pandas, Numpy, SciPy, and Scikit-learn operating at expert-level proficiency.

 

Three years of experience in: productionalizing machine learning models; using TensorFlow, PyTorch, Keras, or other deep learning technologies; coaching and mentoring individual contributors into more senior roles; working in an engineering environment writing reliable, scalable, high-performance code.

 

One year of experience in: working in an engineering team with a demonstrated track record of iterating quickly; working in an engineering team that actively evaluates the customer impact of technology development.

 

Experience may be gained concurrently.  

 

Position location at Possible Finance Inc. in Seattle, WA. To apply, please visit: https://jobs.lever.co/possiblefinance/3e992987-bfe2-4019-b045-46f7e943612f or email your resume and cover letter to scott@possiblefinance.com

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Head of Machine Learning and Data Science

Possible Finance Inc.
Seattle, Washington

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