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Remote Data scientist Jobs in Cary, NC
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Data scientist • cary nc
- Promoted
Data Scientist
VirtualVocationsRaleigh, North Carolina, United StatesData Scientist
KBRRaleigh, North CarolinaStaff Data Scientist
CrunchbaseNorth Carolina, United States- Promoted
Field Data Scientist
HowsoRaleigh, NC, USPrincipal Data Scientist I
RELXRaleigh, NC- Promoted
Data Scientist
TEKsystemsCary, NC, US- Promoted
Principal Data Scientist
Azurity Pharmaceuticals - USRaleigh, NC, USSenior Data Scientist
External Job BoardRaleigh, North Carolina, United StatesData Scientist
K&L GatesRaleighLead Data Scientist
Martin MariettaRALEIGH, North Carolina- Promoted
Senior Data Scientist
AutoCruitmentRaleigh, NC, United StatesData Scientist / Integrator
BB6 DefenseCamp Lejeune, NC, USPrincipal Data Scientist
Azurity PharmaceuticalsRaleigh, North Carolina, United StatesData Scientist
Cynet SystemsMorrisville, NCData Scientist
InfosysRaleigh, NC, USData Scientist, Marketing
Rentokil InitialRaleigh, North Carolina, USPrincipal Data Scientist
LabCorpRaleigh NCJunior Data / Research Scientist
SynergisticITRaleigh, NC, USThe average salary range is between $ 112,219 and $ 127,500 year , with the average salary hovering around $ 125,840 year .
- dentist (from $ 58,988 to $ 240,000 year)
- business development director (from $ 115,000 to $ 239,400 year)
- medical director (from $ 62,500 to $ 234,347 year)
- machine learning engineer (from $ 94,750 to $ 223,918 year)
- product management (from $ 99,550 to $ 221,083 year)
- outpatient (from $ 20,000 to $ 220,000 year)
- product director (from $ 152,500 to $ 217,887 year)
- engineering director (from $ 150,000 to $ 213,938 year)
- clinical director (from $ 128,025 to $ 210,000 year)
- inventory specialist (from $ 53,040 to $ 200,000 year)
The average salary range is between $ 102,614 and $ 172,004 year , with the average salary hovering around $ 128,698 year .
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Data Scientist
VirtualVocationsRaleigh, North Carolina, United States- Full-time
A company is looking for a Data Scientist (Product) to join their growing data team. Key Responsibilities Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions Build models and analytical frameworks to support product, marketing, platform, or finance initiatives Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously Required Qualifications 4+ years of experience in Analytics, Data Science, or a related field Fluency in SQL and proficiency in a scripting language like Python or R Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark) Strong foundation in statistical methods, experimentation, and / or forecasting A track record of working cross-functionally and communicating effectively with both technical and non-technical partners