Get Hired Faster With COMPANY_NAME!
Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?
- A better Job
- A better Future
- A better Knowledge
- A better Paycheck
- A greater Path to walk on.
And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:
1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process
COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...
- Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
- Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
- Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.
That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.
2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!
How does COMPANY_NAME make this possible?
On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.
COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.
When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!
3: The Type of Resume You Need to Get Priority Placement
With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.
4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME
The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.
5: COMPANY_NAME Helps You Grow Your Career
COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.
6: The Easiest Way To Find A Job
COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.
7: Find Roles That Offer Growth, Culture & Benefits
COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.
8: Get Support With Resume, Interviews & Career Planning
COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.
9: Your Future Starts Today
COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.
10: Get Hired Within 15 to 30 Days With COMPANY_NAME
COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.
Remote Data Scientist / Software Engineer - REMOTE
Full-time
Description
Binary Defense is seeking a talented Data Scientist / Software Engineer to join our team in a dual-discipline role bridging applied data science and production software engineering.
This is not a research-only or notebook-only position — you will own the full lifecycle of data-driven capabilities, from hypothesis to deployed service running in our production environment supporting MDR operations and the NightBeacon product suite.
Responsibilities
• Design, build, and ship production-grade data and ML systems that operate against large-scale cybersecurity telemetry, including endpoint, network, identity, and cloud-derived signals.
• Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets, and translate findings into deployable software.
• Develop, test, and maintain backend services, APIs, and data pipelines that integrate ML models and analytics into Binary Defense products and SOC tooling.
• Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms.
• Own code quality across the stack — write clean, well-tested, reviewed code; participate in design reviews; and contribute to architectural decisions affecting data and ML systems.
• Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps).
• Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients.
• Develop data-driven solutions that ship — not prototypes that stall.
Requirements
Data Science
• Master's or PhD in Computer Science, Machine Learning, Data Science, Statistics, or equivalent experience.
• At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications.
• Working knowledge of linear algebra, statistics, probability, and the mathematics underlying modern ML.
• Strong understanding of statistical modeling supervised and unsupervised learning, and the tradeoffs between classical ML and deep learning approaches.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with big data technologies (Spark, Hadoop ecosystem, or modern equivalents) and NoSQL data stores.
• Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3.js, or similar).
Software Engineering
• At least 3 years of experience writing production software, with code shipped to real users in a team setting.
• Strong proficiency in Python, plus working competence in at least one additional production language (Go, Rust, C#/.NET, Java, or TypeScript).
• Solid foundations in software design: data structures, algorithms, OOP and functional patterns, API design, and system design for performance and scale.
• Experience designing and building REST or gRPC APIs and the services behind them.
• Strong with relational and NoSQL database design, query optimization, and schema evolution.
• Proficient with Git, modern code review workflows, and writing unit and integration tests.
• Comfortable with CI/CD pipelines and shipping behind feature flags or staged rollouts.
• Experience with containerization (Docker) and at least one orchestration or deployment platform (Kubernetes, ECS, or equivalent).
• Familiarity with cloud platforms — AWS, Azure, or GCP — including their managed data, compute, and ML services.
• Excellent written and verbal communication; able to defend technical decisions and write documentation that engineers and analysts will use.
Preferred
• Direct experience applying data science to security problems: detection engineering, threat intelligence enrichment, behavioral analytics, malware classification, alert triage, or adversary attribution.
• Experience with managed ML services such as Amazon SageMaker, Vertex AI, or Azure ML.
• Familiarity with LLM-based systems, including retrieval-augmented generation, agentic workflows, evaluation frameworks, and prompt and model lifecycle management.
• Experience operating in an Agile or continuous-delivery environment.
• Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly.
• Familiarity with DevOps and SRE practices, including infrastructure-as-code (Terraform), observability (metrics, logs, traces), and incident response.
• Background or prior role in threat intelligence, security research, security engineering, or SOC analysis.
• Strong work ethic, intellectual honesty, and creative problem-solving — comfortable working through ambiguity and shipping under real deadlines.
About Binary Defense
Binary Defense is a leading Managed Detection and Response (MDR) provider, trusted by hundreds of organizations to protect what matters most. Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around the clock to deliver proactive, risk-focused security outcomes. We bring the attacker's mindset to defense, helping clients detect threats earlier, respond faster, and continuously improve their security posture.
For more information, visit our website, check out our blog, or follow us on LinkedIn.
Binary Defense offers competitive medical, dental and vision coverage for employees and dependents, a 401k match which vests every payroll, a flexible and remote friendly work environment, as well as training opportunities to expand your skill set (to name a few!). If you’re interested in joining a growing team with great perks, we encourage you to apply!
