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Remote Data Acquisition Jobs in Delaware (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Milford, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Wilmington, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Dover, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Newark, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Smyrna, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Seaford, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Middletown, DE · Remote

User Acquisition: * Develop and execute strategies to acquire new users, customers, or leads ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

CSC Corptax

Senior Tax Research Specialist

Dover, DE · Remote

$69K - $69K/yr

Senior Tax Research Specialist United States Monday to Friday 8:00 am to 5:00 pm Remote We are ... We encourage candidates to work closely with our talent acquisition partners to convey their ...

Workiva

$21/hr

Maintain data integrity in Salesforce and Marketo * Perform in-depth analysis measuring marketing ... Contribute to lifecycle and automation functions of marketing * Assist with lead acquisition

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Remote Data Acquisition information

What is remote data acquisition?

Remote data acquisition jobs involve collecting, monitoring, and analyzing data from various sources without being physically present on-site. Professionals in this field use specialized software, devices, and communication networks to access real-time or stored data from remote locations. These roles are common in industries like environmental monitoring, energy, manufacturing, and IT, where sensors or systems transmit data to centralized platforms. Responsibilities often include configuring data acquisition systems, ensuring data quality, troubleshooting connectivity issues, and reporting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data acquisition specialist?

To thrive as a Remote Data Acquisition Specialist, you need a strong background in data collection methodologies, analytical skills, and experience with data management, often supported by a degree in computer science, information systems, or a related field. Proficiency with data acquisition tools, APIs, web scraping technologies, and familiarity with database systems like SQL are typically required. Attention to detail, problem-solving skills, and effective remote communication are valuable soft skills for this role. These competencies ensure accurate data gathering, efficient workflow, and reliable collaboration with distributed teams.

What are some common challenges faced by professionals in remote data acquisition roles, and how can they be managed?

Professionals in remote data acquisition often face challenges such as ensuring data accuracy from decentralized sources, maintaining secure data transmission, and managing technical issues without on-site support. To overcome these, it's important to establish clear data validation protocols, use reliable remote monitoring tools, and maintain regular communication with both technical and non-technical team members. Building strong documentation habits and participating in virtual training sessions can also help address these challenges effectively.

What is the difference between Remote Data Acquisition vs Remote Data Collection?

AspectRemote Data AcquisitionRemote Data Collection
Primary FocusGathering data from various sources, often involving specialized tools and technical processesCollecting data directly from individuals or sources, often through surveys or forms
Required SkillsTechnical skills, data analysis, familiarity with data acquisition toolsCommunication skills, survey design, data entry
Work EnvironmentTechnical settings, remote or on-site labs, fieldworkRemote, office, or field environments
Common IndustriesResearch, engineering, data servicesMarket research, social sciences, healthcare

Remote Data Acquisition involves technical processes to gather data from various sources, often requiring specialized skills. In contrast, Remote Data Collection focuses on gathering data directly from individuals or sources, typically through surveys or forms. Both roles are essential in data-driven industries but differ in methods and skill requirements.

What are popular job titles related to Remote Data Acquisition jobs in Delaware?

For Remote Data Acquisition jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Remote Data Acquisition jobs in Delaware look for?

The top searched job categories for Remote Data Acquisition jobs in Delaware are:

What cities in Delaware are hiring for Remote Data Acquisition jobs?

Cities in Delaware with the most Remote Data Acquisition job openings:

Remote Data Acquisition jobs near you

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted yesterday

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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