Years of experience with business-oriented data science and machine learning.
Experience in teaching / communicating data science / ML concepts.
Experience in operating ML / data science in production.
Data processing skills: Spark, Pandas, SQL etc.
Desire to help and teach other data scientists, no matter how basic and mundane their problems might be, rather than doing modeling by yourself.
We believe that you will be happy and successful at Outerbounds if the following prerequisites are met:
Individual-Role fit: Do you have the right skillset and mindset, personal interest, and motivation to grow in a particular role?
Product mindset: Our overarching goal is to provide delightful and polished user experiences for our customers, including non-technical concerns like documentation and user support. Are you excited and energized by this overall vision and approach?
Not a jerk: We value humility, friendliness, thoughtfulness, and empathy highly. Will you thrive amongst colleagues like this?
Crucially, we are not evaluating you as a person. Even jerkiness can be a function of the environment and people around you, so we just need to evaluate the mutual match. Also you can be an amazing individual with unique talents but we just don’t have a role for you today. For instance, as much as we might want to work with Barack Obama or Billie Eilish, we must honestly admit that we don’t have open roles that would make them or us happy currently. Maybe later!
As an early stage startup, we don’t have clearly defined roles yet. At this point, everyone is expected to be involved in multiple efforts across the company. However, we know that there are dimensions of expertise that would complement our existing team and address our current business needs. Every individual has skills in each of these dimensions but we’d hope to hire people who clearly excel at least one of the dimensions we are hiring for today.
Many companies call this hiring approach T-shaped. In the absence of clearly defined roles, we can loosely think that the leg of the T is the primary “role” that we are hiring you for. However, we don’t pigeonhole anyone based on a single strength: We love to support you in deepening other areas of your expertise and growing more legs for your T. A great thing about startups is that there will be many opportunities to learn and push the outer bounds of your expertise.
Instructions how to apply Apply at this url: https://Jobhunt.ai/machinelearning-ml-ai-job-uy-Data-Science-ML-Advocate-San-Francisco-Outerbounds.html Please mention that you found the job at Jobhunt.ai
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