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Data manager Jobs in Wilmington, NC
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Data manager • wilmington nc
Staff Data Scientist
CrunchbaseNorth Carolina, United StatesRemote Data Entry Clerk
FocusGroupPanelWilmington, North Carolina, United States- Promoted
Freelance Data Collector
Prime InsightsLeland, NC, US- Promoted
Remote FinTech Product Analyst - AI Trainer ($50-$60 / hour)
Data AnnotationWilmington, North Carolina- Promoted
Python Data Engineer
Euclid InnovationsWilmington, NC, United StatesData Entry Product Support - No Experience
GLOCPALeland, North Carolina- Promoted
- New!
Terminal Manager
TRW ResourcesWilmington, NC, US- Promoted
Shift Manager
McDonald'sLeland, NC, USData Acquisition Specialist - Data Analytics Division
State of North CarolinaWilmington, NC, United StatesData Coordinator
The Healing PlaceWilmington, NC, USA- Promoted
Data Services Manager
MondoWilmington, NC, US- Promoted
Data collector / Driver
TSMGWilmington, NC, USData Architect
MaximusWilmington, NC, US- Promoted
HSE Manager
Brown & RootWilmington, NC, USDirector, Network Sales Specialists
NTT DATARemote, North Carolina, United States of AmericaMortgage Data Analyst
Anza Mortgage Insurance CompanyWilmington, North Carolina, United States, 28401Work from Home Data Entry Clerk
GL Inc.Wilmington, North Carolina- Promoted
District Manager
Chesapeake Utilities CorporationWilmington, NC, United States- New!
Data & Operations Reporting Manager
US012 Marsh & McLennan Agency LLCLimestone,WilmingtonThe average salary range is between $ 136,793 and $ 211,448 year , with the average salary hovering around $ 162,500 year .
- technical director (from $ 165,500 to $ 244,650 year)
- home builder (from $ 60,225 to $ 242,500 year)
- client relationship manager (from $ 54,763 to $ 232,129 year)
- client relations manager (from $ 59,000 to $ 227,266 year)
- technical program manager (from $ 18,525 to $ 221,400 year)
- product owner (from $ 118,875 to $ 217,875 year)
- engineering director (from $ 18,525 to $ 216,000 year)
- design director (from $ 146,441 to $ 215,500 year)
- data center manager (from $ 175,241 to $ 213,463 year)
- data manager (from $ 136,793 to $ 211,448 year)
- Macon, GA (from $ 85,198 to $ 233,161 year)
- Sunnyvale, CA (from $ 146,250 to $ 222,000 year)
- Bellevue, WA (from $ 136,000 to $ 222,000 year)
- Fremont, CA (from $ 131,303 to $ 214,225 year)
- Santa Clara, CA (from $ 120,221 to $ 213,608 year)
- Wilmington, NC (from $ 136,793 to $ 211,448 year)
- Naperville, IL (from $ 115,256 to $ 211,350 year)
- Concord, CA (from $ 57,435 to $ 211,350 year)
- Cedar Rapids, IA (from $ 86,667 to $ 211,350 year)
- Grand Rapids, MI (from $ 86,667 to $ 211,350 year)
The average salary range is between $ 86,100 and $ 171,441 year , with the average salary hovering around $ 125,013 year .
Related searches
Staff Data Scientist
CrunchbaseNorth Carolina, United States- Full-time
About Crunchbase
Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.
We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.
Crunchbase has a remote-first approach, and is open to hiring in residents of these states :
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington
Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!
Engineering at Crunchbase
The Crunchbase engineering team is a dynamic, fast paced team that is committed to quickly delivering features, evaluating their performance, and iterating towards the product vision shared by the company.
We are organized in vertical teams that include cross-functional engineers as well as functional guilds aimed at working tightly with the product team to deliver high standards code while iterating quickly on features.
We value open and honest communication, and strive to create an environment where opinions and views can be shared and considered in an effort to reach the best decision.
Signals Team at Crunchbase
The Crunchbase Signals Team thrives to provide users with insightful information throughout their experience on Crunchbase platform. By combining Crunchbase, private and behavioral data with machine learning systems, we learn to understand the underlying data needs to best assist their day to day work, we then identify and highlight relevant insights and predictions, eventually build personalized experiences that are uniquely valuable to our users.
The team is composed of Data Scientists, Machine Learning Engineers, Data Engineers working together to deliver models and services into production. We are hiring a hands-on Staff Data Scientist to help shape and build out the intelligence layer for Crunchbase signals products. We are looking to go deeper on the data we have, generating and presenting insights and predictions that help our users better understand our data and offer observations and recommendations specifically tailored to their use-case. The ideal candidate is a creative innovator and an outstanding communicator with strong hands-on skills. They are not only curious about data and what it can teach us, but also care deeply about our users and how to drive an experience that helps them engage with and better utilize our data.
What You Will Do
- Work on all aspects of the data science feature delivery cycle, from ideating, advocating future data needs, to assisting in model productionisation.
- Develop statistical observations and predictive or prescriptive machine learning models according to our business needs, data patterns and performance requirements.
- Bring in a fresh perspective to the problem space and test out ideas quickly.
- Own the PoC execution plan for multiple projects in parallel and carry out rapid experiments autonomously with the team.
- Manage stakeholders for their focus area efficiently - gather changing product requirements, define problem spaces, bring clarity to roadmaps and milestones, and communicate progress and results to a non-technical audience.
- Help drive the vision of Crunchbase predictive engine and turn our vision into product features.
- Contribute to define and enhance our machine learning experimentation capabilities.
- Help establish processes and best practices to help grow our data science guild.
Who You Are
You may also be entitled to receive equity and benefits.Salary Range$190,000—$210,000 USD
What Crunchbase Offers :
At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application! Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. We will consider for employment qualified applicants with arrest and conviction records. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.