About talentedge
talentedge is a global leader in cloud‑based services, empowering millions of customers with secure, intelligent solutions that keep their data safe and their operations running smoothly. As a forward‑thinking organization, talentedge invests heavily in cutting‑edge artificial intelligence (AI) and machine learning (ML) technologies to anticipate and neutralize emerging cyber threats. Our culture is built on collaboration, continuous learning, and a relentless commitment to excellence. Join us and become part of a team that shapes the future of digital security while enjoying the flexibility of a fully remote work environment.
Position Overview
We are seeking a highly motivated Remote Part‑Time Data Entry Specialist to support the talentedge Security Response Center (SRC). In this role, you will apply data‑science techniques to protect the talentedge Cloud and its suite of online services from sophisticated cyber‑attacks. You will work closely with security engineers, data scientists, and product managers to design, develop, and operationalize AI‑driven security models that detect threats, mitigate risks, and enhance the overall resilience of our platform.
Key Responsibilities
- Data Acquisition & Preparation: Gather, clean, and validate large‑scale structured and unstructured datasets to ensure data integrity and compliance with privacy standards.
- Model Development: Build, train, and fine‑tune statistical, machine‑learning, and deep‑learning models (e.g., clustering, regression, RNN, LSTM) that identify anomalous behavior and predict potential security incidents.
- Feature Engineering: Design robust feature pipelines using Python, Scala, and SQL‑based languages (T‑SQL, U‑SQL, KQL) to maximize model performance and interpretability.
- Model Evaluation & Validation: Apply rigorous testing frameworks, cross‑validation, regularization, and dimensionality‑reduction techniques to assess model accuracy, bias‑variance trade‑offs, and business impact.
- Production Deployment: Collaborate with engineering teams to integrate models into the talentedge production environment, ensuring scalability, reliability, and real‑time monitoring.
- Collaboration & Communication: Translate complex technical findings into clear, actionable insights for stakeholders across product, security, and executive leadership.
- Mentorship: Guide junior engineers and data analysts on best practices for data handling, model development, and code quality.
- Continuous Learning: Stay abreast of emerging AI/ML techniques, cybersecurity trends, and industry standards to continuously improve talentedge’s security posture.
Essential Qualifications
- Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field. A Master’s or Ph.D. is a strong plus.
- Experience: Minimum 2 years of hands‑on experience in data analysis, statistical modeling, or machine‑learning engineering.
- Programming Skills: Proficiency in Python or Scala, with a solid grasp of data‑manipulation libraries (pandas, NumPy) and ML frameworks (scikit‑learn, TensorFlow, PyTorch).
- Database Knowledge: Experience writing complex queries in T‑SQL, U‑SQL, or KQL and familiarity with big‑data platforms such as Hadoop, Spark, or Databricks.
- Analytical Mindset: Ability to dissect large datasets, uncover hidden patterns, and translate findings into business‑critical recommendations.
- Communication: Strong written and verbal communication skills, capable of presenting technical concepts to non‑technical audiences.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
- Experience with cloud‑native services and tools within the talentedge ecosystem (e.g., talentedge AI, talentedge Data Services, talentedge Databricks).
- Knowledge of cybersecurity fundamentals, threat modeling, and incident response workflows.
- Familiarity with containerization (Docker) and CI/CD pipelines (Git, Azure DevOps).
- Publications or contributions to open‑source AI/ML projects.
Core Skills & Competencies
- Statistical Analysis: Hypothesis testing, regression analysis, time‑series forecasting (ARIMA, RNN, LSTM).
- Machine Learning: Supervised and unsupervised learning, model selection, hyper‑parameter tuning.
- Data Engineering: ETL processes, data lake architecture, streaming data pipelines.
- Problem Solving: Ability to approach ambiguous problems methodically and deliver practical solutions.
- Collaboration: Team‑player who thrives in cross‑functional environments and values diverse perspectives.
- Ethical Awareness: Understanding of data privacy regulations and ethical AI principles.
Career Growth & Learning Opportunities
talentedge is committed to the professional development of its talent. As a Data Entry Specialist, you will have access to:
- Mentorship from senior data scientists and security architects.
- Internal training programs covering advanced AI/ML, cloud security, and data governance.
- Opportunities to contribute to high‑impact projects that directly influence the safety of millions of users.
- Pathways to transition into full‑time data‑science, security engineering, or product management roles within talentedge.
- Support for certifications such as Certified Data Scientist (CDS), Certified Information Systems Security Professional (CISSP), or cloud‑provider credentials.
Work Environment & Culture at talentedge
Our remote‑first philosophy empowers you to work from anywhere in the United States while staying connected through collaborative tools, virtual coffee chats, and regular team‑wide events. talentedge values:
- Innovation: We encourage experimentation and reward creative problem‑solving.
- Inclusivity: Diverse voices are celebrated, and every team member’s perspective is respected.
- Work‑Life Balance: Flexible scheduling, generous paid time off, and a focus on mental well‑being.
- Transparency: Open communication channels with leadership and clear visibility into company goals.
Compensation, Perks & Benefits
talentedge offers a competitive hourly rate of $25 per hour, reflective of your expertise and the critical nature of the role. In addition to base compensation, you will receive:
- Performance‑based bonuses tied to project milestones and security outcomes.
- Comprehensive health, dental, and vision coverage.
- Retirement savings plan with company matching contributions.
- Paid parental leave, sick days, and vacation time.
- Professional development stipend for courses, conferences, or certifications.
- Access to cutting‑edge AI tools, cloud resources, and a collaborative knowledge‑sharing platform.
How to Apply
If you are passionate about data, security, and AI, and you thrive in a remote, part‑time setting, we want to hear from you. Click the link below to submit your resume, a brief cover letter highlighting your relevant experience, and any portfolio or project samples that demonstrate your analytical capabilities.
Apply to Join talentedge Today
Closing Statement
At talentedge, your work will directly protect the digital lives of countless individuals and organizations worldwide. Embrace the chance to grow your expertise, collaborate with world‑class professionals, and make a tangible impact on the future of cybersecurity. Apply now and take the first step toward an exciting, rewarding career with talentedge.
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