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Animal scientist Jobs in Madison, WI
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Animal scientist • madison wi
- Promoted
Data Scientist
RentableMadison, WI, US- Promoted
Applied Scientist, Shopbop Catalog Engineering
AmazonMadison, WI, USAnimal Care Technician I
LabCorpUSA, WI, Madison, 3301 Kinsman Boulevard- Promoted
Senior Experimental Scientist
Realta Fusion Inc.Madison, WI, US- Promoted
Scientist / Senior Scientist, Discovery Chemistry
Arrowhead PharmaceuticalsMadison, WI, US- Promoted
Environmental Scientist
Ramaker & Associates IncMadison, WI, US- Promoted
Associate Scientist
ElephasMadison, WI, USData Scientist
NelnetMadison, WI, US- Promoted
Associate Research Scientist - Biosafety
Thermo Fisher ScientificMiddleton, WI, USLead Scientist (Remote)
International Flavors & FragrancesMadison, WI, USApplied Scientist, Shopbop Catalog Engineering
Bop LLCMadison, Wisconsin, USA- Promoted
- New!
Cardiologist
VCA Animal HospitalsMiddleton, WI, USStaff Machine Learning Engineer / Data Scientist
ZendeskMadison, Wisconsin, United States of AmericaAnimal Care Attendant
Camp K9 Pet Resort & Day CampMadison, WI, US- Promoted
Data Scientist
VirtualVocationsMadison, Wisconsin, United StatesSr. Data Scientist
Exact SciencesMadison, WI, USMedical Technologist - Clinical Laboratory Scientist
AMN HealthcareMadison, Wisconsin- Promoted
Animal Care Giver
T&T PET CARE SERVICES LLCMadison, WI, USGENAI / MACHINE LEARNING AI / DATA Scientist
Hudson ManpowerMadison, WI, USThe average salary range is between $ 131,517 and $ 158,850 year , with the average salary hovering around $ 136,333 year .
- live in nanny (from $ 35,750 to $ 234,000 year)
- senior structural engineer (from $ 145,500 to $ 227,600 year)
- lead software engineer (from $ 137,501 to $ 223,950 year)
- technical program manager (from $ 115,060 to $ 221,400 year)
- engineering director (from $ 135,338 to $ 220,650 year)
- consulting (from $ 126,563 to $ 218,000 year)
- urgent care (from $ 50,000 to $ 215,000 year)
- nurse practitioners (from $ 36,000 to $ 212,325 year)
- nuclear engineer (from $ 146,450 to $ 204,750 year)
- chief engineer (from $ 135,000 to $ 202,500 year)
- New Bedford, MA (from $ 154,250 to $ 168,580 year)
- New York, NY (from $ 154,250 to $ 168,580 year)
- New Haven, CT (from $ 154,250 to $ 168,580 year)
- New Orleans, LA (from $ 154,250 to $ 168,580 year)
- West Valley City, UT (from $ 135,000 to $ 158,850 year)
- Salt Lake City, UT (from $ 138,500 to $ 158,850 year)
- Oklahoma City, OK (from $ 135,000 to $ 158,850 year)
- Madison, WI (from $ 131,517 to $ 158,850 year)
- Kansas City, KS (from $ 135,000 to $ 158,850 year)
- Jersey City, NJ (from $ 142,500 to $ 158,850 year)
The average salary range is between $ 67,500 and $ 158,850 year , with the average salary hovering around $ 102,679 year .
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Data Scientist
RentableMadison, WI, US- Full-time
Job Description
Job Description
We're Changing the Rentals Industry
We're a profitable, growth-stage company building industry-leading martech and data products for the rentals industry. While originally known for building and operating one of the U.S.'s largest rental marketplaces - Rentable, our focus has shifted to our category-leading AI and data SaaS products with triple-digit growth rates.
We're a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a
- holes policy and are proud to have built a community of highly performing people that take our work seriously, but not ourselves.
While we've raised $30MM+ to date from some of the world's best investors, we're profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.
If you like the idea of joining an industry-changing company made up of people who genuinely like each other, Rentable could be a great fit for you.
The Role
We are seeking a skilled Data Scientist to join our ApartmentIQ data team. This role involves using analytical skills to improve the accuracy of our data, and enrich our data set with new attributes, collaborating with product, engineering, and customer experience teams to deliver product capabilities. Success in this fast-paced environment requires strategic thinking, strong organizational and communication skills, and the ability to manage multiple challenges. Autonomy, curiosity, and the ability to make recommendations in uncertain situations are essential.
Responsibilities
Qualifications
Why Rentable