You’ll be a core member of our Fast Forward Labs team.
We’re looking for someone with a strong desire to help our enterprise clients drive toward the future using data science and machine learning. As a machine learning data strategist you’ll be focused on enabling enterprise clients to derive the maximum benefit from their investments in data and machine learning. You’ll help them build and evolve their data strategies, identify and scope critical ML projects, advise them on best practices and help them grow their own internal data capabilities. Our reach is broad so you’ll also spend time keeping abreast of the latest advances in machine learning, data science, cloud computing, IoT, and data infrastructure. You’ll be expected to incorporate new information quickly, and formulate actionable advice based on that information. Alongside our research engineers, you’ll carve out space to be a thought leader in our field.
Skills and Qualifications:
Most importantly, this position requires excellent written and verbal communication. We expect you to be able to explain nuanced technical work to audiences that range from students to engineers to executives.
You don’t have to be a software engineer or strong coder, but you should like to tinker and figure out how things work
You should be quite familiar with leading practices in the machine learning lifecycle, including data preparation for analysis, ML model selection, training and validation.
We expect that you have experience with preparing ML models for production.
You should have a background in translating messy ideas into actionable data projects at scale.
You should have either led a data team within an organization or have business consulting experience that focused on data.
Who We Are
Cloudera Fast Forward Labs is an applied machine learning research group within Cloudera that helps organizations recognize and develop new product and business opportunities through emerging machine learning and AI technologies. We offer a research subscription service, consulting services and advisory services to companies in a wide set of industries. We support our clients by helping them create powerful data products, help businesses capture the value of emerging data capabilities, and bring the lessons learned through that work to our research process. We value thoughtfulness, curiosity, creativity, and diverse perspectives.
Posted on : Sat, 20 Apr 2019 19:00:00 GMT
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