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Online Data Encoder Jobs in Byram, CT (NOW HIRING)

Member Services Representative

Ridgewood, NY ยท On-site

$20 - $22.26/hr

... to On-Line Banking, Mobile Banking * Service existing accounts; set up new accounts files and ... with data in the computer system and appropriate reports; * Responsible for End-of-Day process ...

Member Services Representative

NY ยท On-site

$20 - $22.26/hr

... to On-Line Banking, Mobile Banking * Service existing accounts; set up new accounts files and ... with data in the computer system and appropriate reports; * Responsible for End-of-Day process ...

AI Engineer, Evaluation

New York, NY ยท On-site

$150K - $250K/yr

Develop and maintain evaluation pipelines-offline and online-that integrate directly into system ... Understand how evaluation interacts with prompts, agents, data, and deployment. You design ...

Online Data Encoder information

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.

How much is the salary of a data encoder?

The salary of an online data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the complexity of the data being processed. Entry-level positions may start lower, while experienced encoders with specialized skills can earn higher wages.

Do online data entry jobs really pay?

Online data entry jobs, including roles like data encoder, typically pay hourly or per task rates, with wages varying based on experience, skill level, and the complexity of the work. Many legitimate positions offer fair compensation, but some low-paying or scam jobs exist, so it is important to verify the employer and review payment terms before starting.

Are online encoders legit?

Online data encoder jobs are generally legitimate if offered by reputable companies and do not require upfront payments. However, job seekers should verify the company's credibility and avoid offers that seem suspicious or promise high earnings with little effort.

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.

How to be an online data encoder?

To become an online data encoder, you should have strong typing and data entry skills, attention to detail, and familiarity with data management software or spreadsheets. Many positions require a high school diploma or equivalent, and some may prefer experience with specific tools or certifications in data entry. Consistent accuracy and speed are essential for success in this role.

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 Byram, CT? The most popular types of Data Encoder jobs in Byram, CT are:
What cities near Byram, CT are hiring for Online Data Encoder jobs? Cities near Byram, CT with the most Online Data Encoder job openings:
Infographic showing various Online Data Encoder job openings in Byram, CT as of July 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 94% In-person, and 6% Remote job distribution.
Senior Data Scientist - Digital Intelligence, Device Signals

Senior Data Scientist - Digital Intelligence, Device Signals

Socure

New York, NY โ€ข On-site

$150K - $185K/yr

Full-time

Posted 26 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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