Data Science Manager
Company: CAPE Analytics
Location: Mountain View
Posted on: May 14, 2022
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Job Description:
THE OPPORTUNITY As a Director of Data Science, you---ll manage
Data Scientists and Computer Vision/Machine Learning Engineers, and
collaborate with Data Engineers, Software Engineers, Product, and
Sales teams to build robust, scalable machine learning models for
identification and annotation of the built world. Additionally, you
will direct enhancements in ground truth generation, model
performance analysis, iterative model development, and unsupervised
mapping of the feature space to bring scientific rigor,
scalability, and robust performance to our core product offerings.
As a senior member of the team, you will also participate in
brainstorming and establishing Tech and Product roadmaps at Cape.
CAPE---s insurance solutions have been adopted by leading carriers
across the U.S., Canada, and Australiabut we are just getting
started. Over the past 6 years, we---ve constructed an analytics
platform purpose-built for deep learning. On the heels of our
recent $44 million Series C financing, we---re growing rapidly. In
CAPE---s next phase, we---re setting out to solve a larger share of
the problem, leveraging a radically expanded array of input data
sources and advanced machine learning technologies. THE TECH STACK
CAPE leverages all available tools and technologies to build our
best-in-class tech-stack, which affords us flexibility of
fast-deployments, along with the stability to support aggressive
SLAs for critical-path client APIs and applications. We build our
models using Pytorch and Tensorflow, and leverage Python, Spark and
Postgres across our AWS-deployed cloud infrastructure. WITHIN 1
MONTH, YOU---LL Onboard with CAPE---s engineering team to learn
about our tech-stack, our software development process, and machine
learning process. Get to know the broader team you---ll work with
through 1:1s and by sitting in on team and project meetings. Get to
know your team, learning about their current projects,
understanding their career goals, and setting up effective team
coordination. Complete an onboarding project - aimed at improving
our development process. WITHIN 3 MONTHS, YOU---LL Understand
CAPE---s near- and long-term product strategy and understand our
roadmap. Partner with Recruitment to continue building out the team
and set new hires up to contribute effectively against the
engineering roadmap. Be an effective partner in technical planning,
coordinating multiple priorities and matching data scientists to
projects based on skill-sets. Start to assist in Sprint planning
and Quarterly planning with the team Contribute to the design and
automation of our MLOps pipeline WITHIN 6 MONTHS AND BEYOND,
YOU---LL Understand skill sets needed to meet our business
objectives and build out the team accordingly. Deeply understand
our model training, development and deployment process and drive
improvements aimed at enhancing model quality while shortening
project timelines. Be a mentor and guide to your team and be
responsible for their career growth. Inspire a culture of
innovation, risk-taking, and quality-first engineering at CAPE
Analytics. Deeply understand the projects your team is working on
and provide technical guidance leaning on your industry experience.
Closely pair with senior technical staff to drive our Tech and
R&D roadmap. Stay in touch with advances in the AI/ML world and
bring relevant technologies in-house. Closely pair with Product
Management to shape our future products and drive improvements in
Product and Engineering interactions. Work with THE SKILL SET PhD
in a STEM field with 10 years of hands-on industry experience or
Masters in a STEM field with 12 years of hands-on industry
experience 5 yrs of experience of managing teams of ten or more
senior data scientists. Success in hiring, growing and retaining
engineers of all experience levels. Solid knowledge of statistical
techniques, including hypothesis testing, statistical sampling,
significance testing, statistical inference, maximum likelihood
estimation, and experimental design, among others Mastery of,
supervised and unsupervised algorithms and their implementations,
machine learning concepts including regularization, learning
curves, optimizing hyperparameters, cross-validation, among others
Advanced knowledge and significant programming experience in Python
programming or other scripting language including relevant
libraries like numpy, pandas, SciPy, matplotlib Excellent
communication skills: Able to effectively communicate in a clear,
concise manner with experience communicating technical issues to
cross-functional groups. Excellent technical planning skills with a
proven track record of developing and executing complex technical
projects. THE TEAM You will work with some of the smartest data
scientists in the industry. They are passionate about the work they
do and have collectively built the industry---s leading
AI/Analytics product. Success only comes with great team culture,
camaraderie, open communication and hard work. These are the
qualities that you will experience and enjoy at Cape.
Keywords: CAPE Analytics, Mountain View , Data Science Manager, Executive , Mountain View, California
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