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Senior Data Scientist/Machine Learning - Data Science/AI/Machine Learning


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Ted Staeb Senior Associate

Phone Work 4157957320
Phone Fax
Email: ted@verticalmove.com



Job Info



Category Data Science/AI/Machine Learning
Employment Type Full-Time Employment
Compensation $0.00 - $0.00
Location United States, CA - 94016


Client Introduction



Our client is one of the top 3 job boards (late stage startup) in the US and they are aggressively expanding their team both in San Francisco and Mill Valley to join their core product team.

You’ll be part of a very fast-growing and rapidly innovating machine learning team which will be building our next generation of products. You will help define the ML roadmap and then be the owner of modeling and delivery of all Machine Learning products to support small businesses.

This includes a diverse range of needs covering areas like fraud prevention, paid advertising optimizations, and applicant delivery for job postings. A typical week would comprise brainstorming with product on next-gen features, prototyping models and improving model features, and collaborating with engineers to deploy ML pipelines and products.

The ideal candidate will be extremely curious, have a strong scientific background in statistics and machine learning, and be obsessed with results. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism, and agility with quality. All of this with the tightly coupled goals of helping small businesses recruit and grow.

In this role you work with a small, collaborative team of engineers, product managers, and designers – so excellent interpersonal and communication skills are also a must. And most importantly – we look for people that can prioritize, multi-task, and deliver – because it’s a lot more fun to get things done.

• All employees receive 3 paid volunteer days per year
• 100% company paid medical/dental/vision/life coverage; 80% dependent coverage
• Equity in a late stage startup backed by top-tier VCs
• Walking, running and biking trails steps away from the office
• Onsite gym and fitness classes
• Free catered lunch; new menu daily
• Paid holidays and flexible paid time off
• Your choice between Mac or PC
• Dog-friendly office (with dog-free zones if you are so inclined)
• Free parking


Job Description



You’ll be part of a very fast-growing and rapidly innovating machine learning team which is building our next generation of products. You will help define the ML roadmap and then be the owner of modeling and delivery of all Machine Learning products to support small businesses. This includes a diverse range of needs covering areas like fraud prevention, paid advertising optimizations, and applicant delivery for job postings. A typical week would comprise brainstorming with product on next-gen features, prototyping models and improving model features, and collaborating with engineers to deploy ML pipelines and products.

Job Responsibilities



The ideal candidate will be extremely curious, have a strong scientific background in statistics and machine learning, and be obsessed with results. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism, and agility with quality. All of this with the tightly coupled goals of helping small businesses recruit and growing revenue.

Experience



• 3-5 years of quantitative experience with large data-sets, from prototyping to business impact
• Deep understanding of machine learning and statistical methods with their underlying theory and math
• Demonstrated work in building, deploying, and demonstrating business value from predictive models and data products
• Proficient in Python. Experience with R a plus. Also, Java or other programming language experience would be valuable.
• Experience with distributed machine learning frameworks, like Spark, etc.
• Solid software development experience, including translating ML models into production software
• Strong and persuasive communication skills


Required Experience





Required Education



MS or PhD in a quantitative discipline like Computer Science (with focus on Machine Learning, Artificial Intelligence), Statistics, Math, Neuroscience, Operations Research, Physics, etc.

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