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Online Data Encoder Jobs in Park Ridge, NJ (NOW HIRING)

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Online Data Encoder information

What is a data encoder work from home?

A data encoder working from home is responsible for inputting, updating, and managing data in digital systems remotely. The role typically requires strong attention to detail, basic computer skills, and familiarity with data entry software, often performed on a flexible schedule. It is suitable for individuals seeking remote work with minimal technical requirements.

What are the key skills and qualifications needed to thrive in the Online Data Encoder position, and why are they important?

To thrive as an Online Data Encoder, strong typing skills, attention to detail, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet programs (such as Microsoft Excel or Google Sheets), data management systems, and sometimes basic database software is preferred. Reliability, time management, and the ability to maintain focus during repetitive tasks are standout soft skills for this position. These competencies are crucial for ensuring the accuracy, security, and efficiency of data entry operations in a remote or online work environment.

What job makes $10,000 a month without a degree?

An online data encoder can potentially earn $10,000 a month by working freelance or for companies that pay per project, especially with advanced skills in data entry, coding, or automation tools. High earnings typically require significant experience, efficiency, and sometimes specialized certifications, but it is possible without a formal degree if one develops in-demand technical skills and builds a strong client base.

How much do data encoders typically make?

Data encoders typically earn between $25,000 and $45,000 annually, depending on experience, location, and the complexity of the data. Many roles are entry-level and may require basic computer skills and attention to detail, with some positions offering overtime or part-time hours.

How to become an online encoder?

To become an online data encoder, you typically need strong typing skills, attention to detail, and familiarity with data entry software or online platforms. Many positions require a high school diploma or equivalent, and some may prefer prior experience or certifications in data management. Good organizational skills and the ability to work efficiently in a remote environment are also important.

What is an Online Data Encoder job?

An Online Data Encoder is responsible for inputting, updating, and maintaining digital information in a database or system. This role requires accuracy, speed, and attention to detail to ensure that data is correctly recorded and organized. Encoders often work with spreadsheets, company databases, or specialized software to process large amounts of information efficiently. The job may also involve verifying data for errors and ensuring confidentiality and security of sensitive information.

What types of data will I typically be handling as an Online Data Encoder, and how does this impact my daily responsibilities?

As an Online Data Encoder, you will usually work with a variety of information, including customer records, sales figures, survey responses, or inventory logs, depending on the employer and industry. Your primary responsibility is to accurately input, update, and manage this data in digital databases or spreadsheets, often under set deadlines. You may also be asked to review and verify information for accuracy or help generate periodic reports. The type of data you handle can influence the specific procedures you follow and may require you to learn unique data management software or adhere to confidentiality standards. Being diligent and organized will help ensure data integrity and contribute to the smooth operations of your team.

What are the most commonly searched types of Data Encoder jobs in Park Ridge, NJ? The most popular types of Data Encoder jobs in Park Ridge, NJ are:
What cities near Park Ridge, NJ are hiring for Online Data Encoder jobs? Cities near Park Ridge, NJ with the most Online Data Encoder job openings:
Online Data Encoder jobs near you
Senior Data Scientist - Digital Intelligence, Device Signals

Senior Data Scientist - Digital Intelligence, Device Signals

Socure

New York, NY • On-site

$150K - $185K/yr

Full-time

Posted 20 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries.
We are seeking a Senior Data Scientist to join our Digital Intelligence team. In this role, you will drive the development of machine learning features and models that leverage device, network, and behavioral data to power fraud prevention and identity verification. You'll work with rich, high-volume data from browser, mobile, and API traffic to surface meaningful insights and scalable risk signals. This is a great opportunity to own impactful projects, collaborate cross-functionally, and deepen your expertise in applied ML for device and behavioral intelligence.
What You'll Do
  • Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention-balancing precision, recall, and real-world adversarial dynamics.
  • Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data).
  • Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse.
  • Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques.
  • Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning.
  • Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust.
  • Contribute to team standards for ML explainability, risk evaluation, and feature logging.
  • Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences.
  • Mentor junior data scientists and participate in cross-functional working groups.

What You Bring
  • Master's degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • 6+ years of experience in data science or applied machine learning, including experience working in production environments.
  • Excellent SQL skills and extensive experience with large-scale databases and data modeling.
  • Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data.
  • Proficiency in Python and distributed computing tools (e.g., Spark, PySpark).
  • Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar.
  • Excellent communication skills-able to explain complex technical results to non-technical stakeholders and senior leadership.
  • Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness.
  • Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies.
  • Strong judgment across data quality, model selection, and business impact tradeoffs.
  • Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams.
Preferred Qualifications
  • Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling.
  • Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings).
  • Familiarity with privacy-preserving or robust ML techniques.
  • Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing.
What You'll Gain
  • Hands-on experience with real-world data science challenges in a high-impact industry.
  • A collaborative and inclusive work environment that fosters learning and growth.
  • Opportunities to grow into staff-level or technical leadership roles over time.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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