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Staff Data Scientist

Remote:

Full Remote

Contract:

Full time

Salary:

192 - 225K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Degree in a quantitative field or equivalent professional experience., 5+ years of industry experience in data science., Expertise with numerical software packages like NumPy, scikit-learn., Aptitude to rapidly deliver technical solutions maximizing business impact., Wide-ranging experience solving complex business problems..

Key responsabilities:

Leverage data to solve complex problems with appropriate complexity.
Collaborate with diverse teams to define strategy and execute it.
Research operational/logistical problems and identify solutions proactively.
Lead design, implementation, and evaluation of models.
Mentor and provide oversight on teammates' projects.

Honor Scaleup https://www.honorcare.com/

501 - 1000 Employees

See more Honor offers

Job description

Honor exists to expand the world’s capacity to care.

We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale.

Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.

The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults.

Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems!

About the Work:

We’re looking for data scientists to join our team. You'll develop statistical and machine learning models to improve our operations platform and help us provide a better service to our clients. We're looking for generalist data scientists who are excited to jump into new problems and write production-quality code.

About the work:

Leverage data to solve meaningful problems with appropriate complexity.
Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it.
Research operational/logistical problems and proactively identify potential solutions.
Lead the design, implementation, and evaluation of descriptive and predictive models.
Integrate machine learning into user-facing applications.
Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.

About you:

Excellent communication skills with both technical and non-technical peers.
Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
Wide-ranging professional experience solving complex business problems, and shipping/maintaining Python in a production environment.
5+ years of industry experience.
Aptitude to rapidly iterate and deliver technical solutions that maximize business impact.
Expertise with numerical software packages such as NumPy, scikit-learn, etc.
Able to manage product ambiguity, seeking clarity when possible.
Are accountable end-to-end for your own projects, through planning, deployment, maintenance, and monitoring. You spot and address potential issues early.

Bonus points if you have professional experience with:

Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., ideal matches of people needing and providing care, automated financial incentives to staff remaining shifts, hiring needs, demand forecasting, etc.)
Using survival analysis and related methods to evaluate risk of employee churn and to predict future high-performers
Using NLP methods to build data products from a variety of unstructured data sources, including phone calls and website forms
Applying spatial statistics to incorporate geographic and regional differences in a variety of problem contexts

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.

Base pay is just a part of our total rewards program. Honor offers equity and 401K with up to a 4% match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

Hiring Salary Range

$191,700—$225,000 USD

What’s next?

Honor is remote friendly! We're hiring across the U.S., with an entirely virtual interview and onboarding process. Most of our positions are remote/work from home and do not require permanent relocation. As conditions allow, we have office space for in-person collaboration in our San Francisco Bay Area, CA, Austin, TX, and Omaha, NE hubs. If you're looking for a great job that offers you the opportunity to work from home, we'd love to talk to you.

Want to know more about why Honor is a great place to work? Check out our perks!

We value people! These four people-centric values guide the ways we work and decisions we make every day.

This role doesn’t sound quite right? Send this application to a friend who may be a fit and check out our other available roles!

#LI-Remote

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Honor is an E-Verify company. For more information please review our Participation and your Right to Work