Sr. Data Scientist

Job Title: Senior Technical Consultant

Employment Type: Full-Time

Location: Remote

Experience: 5+ Years

Key Responsibilities

Backend Engineering (Primary Focus – ~80–90%)

• Design and build scalable, secure, high-performance backend systems.
• Work with one or more modern programming languages:
• Java, Python, Go, Ruby on Rails, Rust, or Node.js
• Write clean, reusable, testable code and maintain strong unit test coverage.
• Engage in architecture discussions, code reviews, and code pairing.
• Implement and maintain CI/CD pipelines and follow DevOps best practices.

Frontend Contribution (Optional – ~10–20% if willing)

• Not mandatory, but you may occasionally take small frontend tasks.
• Ability to discuss frontend fundamentals (React/Angular basics) is preferred.
• Exposure to HTML/CSS/JS is a plus but not required.
• Willingness to learn or contribute to UI tasks when needed is appreciated.

Client Collaboration

• Work directly with clients to understand business and technical requirements.
• Explain decisions, trade-offs, and architecture clearly and confidently.

Team Collaboration

• Work independently within a distributed global team environment.
• Contribute across the complete product lifecycle and engineering decisions.

Tech Stack for the Role

Backend (Primary)

Must have experience in at least one:

• Java
• Python
• Go
• Ruby on Rails
• Rust
• Or:
• Node.js

Frontend (Optional)

• React or Angular (only if willing)
• HTML & CSS (optional)

Required Skills & Experience

• 5+ years of hands-on backend development experience.
• Strong polyglot programming capability across at least 2 backend stacks.
• Solid understanding of:
• System Design & Architecture
• Design Patterns
• Object-Oriented & Functional Programming Concepts
• Experience with CI/CD pipelines, testing frameworks, and DevOps workflows.
• Ability to work independently with minimal supervision.
• Excellent communication, analytical thinking, and client-facing skills.

Nice to Have

• Experience with Microservices, Docker, Kubernetes.
• Prior consulting, client-facing, or solution-engineering experience.
• Exposure to AWS / GCP / Azure cloud environments.

Senior Data Engineer

Pls apply here:

tinyurl [dot] com/ysk8w2eu

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

• Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.
• First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.
• Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Team

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, Plaid, and Coinbase; developed self-driving car systems at Aurora; and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

Own the data infrastructure behind automated reporting, AI visibility monitoring, competitive intelligence, and proactive alerting across a growing multi-tenant client base.

The hard problem is operational complexity, less so petabyte scale volume. Many clients, each with multiple data sources, different schemas, different API rate limits, different failure modes, different freshness requirements. When one breaks, it can't take down everyone else. Fault isolation, graceful degradation, and per-tenant reliability are built in from the start.

This is largely greenfield. You'll be building out monitoring, observability, data quality layers and pipeline orchestration.

You report to the CTO and work closely with product engineers who build the features that consume your data layer. You'll define interfaces and data contracts together. There's no platform team. You own your infrastructure, your CI, and your monitoring.

What You'll Do

• Multi-tenant data infrastructure. Ingestion, validation, and transformation across multiple data sources. Fault isolation, schema variation, and graceful upstream failure handling.
• Third-party API integration. Most of our data comes from external APIs with their own auth flows, rate limits, pagination quirks, and breaking changes. You'll build robust, resilient connectors that handle all of this gracefully across many client accounts.
• Data quality systems. Automated checks on distributions, volumes, null rates, and freshness. Statistical validation, not just schema validation. Bad data doesn't make it downstream.
• Data observability. Freshness monitoring, volume anomaly detection, schema drift detection, lineage tracking, blast radius analysis. You know the difference between "the code ran" and "the data is correct."
• Alerting design. Not just dashboards. Threshold tuning, noise reduction, avoiding alert fatigue. Mean time to detection is a core metric for this role.
• Freshness SLAs. Define them per source, build infrastructure to meet them, alert before they breach.
• Event-driven trigger infrastructure. Surface performance changes, quality regressions, and freshness violations as events for downstream systems.
• Entity data models. Design schemas for client, competitor, and content entities. Own schema evolution and backward compatibility.
• Operational environment. CI/CD, containers, deployment pipelines, credential management. Every deploy passes CI before production.

The Ideal Person for This Role

• A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built data infrastructure people actually rely on.
• An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once.
• An owner. You take responsibility for outcomes, not just tasks. When a pipeline you built breaks at 3am, you fix it and make sure it doesn't break again.
• Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.
• A first-principles thinker. You understand why things work, not just how. You can go five levels deep on schema decisions, validation strategies, and architecture tradeoffs.
• Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

• 4+ years in data engineering, platform engineering, or infrastructure-heavy backend work.
• Python, SQL, pipeline orchestration (Airflow, Dagster, Prefect, or similar).
• Event-driven architectures or real-time data processing.
• Third-party API integration. You've built resilient connectors against external APIs with rate limits, auth flows, pagination, and breaking changes. Not just calling endpoints, but handling the full operational reality.
• Pipeline fundamentals. Idempotent pipelines, backfill strategies, and schema evolution handled gracefully in production.
• Data quality systems in production. Automated checks on distributions, volumes, freshness, null rates. Not a one-off notebook.
• Data observability. Freshness monitoring, anomaly detection, lineage tracking, blast radius analysis.
• Alerting design. Threshold tuning, noise reduction, escalation paths. You've thought about false positives as much as missed detections.
• Own your infrastructure. Containers, CI/CD, deployment pipelines, monitoring, credential management. No platform team to hand off to.
• Multi-tenant or multi-client data systems. Tenant isolation, per-client configuration, and operational overhead at scale.
• APIs or service layers for data exposure. You've built interfaces that other systems consume, not just internal scripts.
• Collaborative. You'll work closely with product engineers to define data contracts and interfaces. You communicate tradeoffs clearly in writing. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Experience with marketing or analytics data (GA4, GSC, SEO tools)
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Take-Home Project
3. Technical Deep Dive
4. Leadership Interview
5. Reference Checks

Pls apply here:

tinyurl [dot] com/ysk8w2eu

● In-depth knowledge of full-stack development principles and best practices.

● Expertise in building web applications with strong proficiency in languages like Node.js, React, and Go. 

● Experience developing and consuming RESTful and gRPC API Protocols.

● Familiarity with CI/CD workflows and DevOps processes. 

● Solid understanding of cloud platforms and container orchestration technologies.

● Experience with Kubernetes deployment and workflows using tools like Argo.

● Experience applying AI/ML models to optimize workflows or enhance product features, with familiarity in frameworks like TensorFlow, MLflow, Kubeflow, or PyTorch. 

● Experience fine-tuning existing AI/ML models to adapt to specific use cases or datasets, ensuring optimized performance. 

● Experience with Workflow Orchestration tools like Temporal and Windmill.

● Strong background in System Design. 

● Hands-on experience with Queuing Mechanisms such as RabbitMQ, Redis, and Kafka. 

● Experience with designing and building user-friendly interfaces using Tailwind CSS and Radix UI. 

● Excellent understanding of distributed systems, databases, and APIs. ● A passion for writing clean, maintainable, and well-documented code. ● Strong problem-solving skills and the ability to work independently as well as collaboratively. 

● Excellent communication and interpersonal skills. 

Bonus points if you have: 

● Experience with building self-serve platforms or user onboarding experiences.

● Familiarity with Infrastructure as Code (IaC) tools like Terraform.

● A strong understanding of security best practices for Kubernetes deployments.

● Grasp on setting up Network Architecture for distributed systems. 

Role & Responsibilities

• Play an active role in designing and validating new experiences via mockups, wireframes, flow diagrams, sketches, and other UX artefacts.
• Conduct quick rounds of usability testing.
• Build strong relationships with cross functional stakeholders to drive user focus, creativity, efficiency, and product excellence.
• Effectively use quantitative and qualitative data to drive decisions and measure success.
• Collaborate with the research, product, business and engineering teams to build scalable and impactful solutions.
• Own from end-to-end 1-2 product charters and be responsible for their success along with your product team counterparts.
• Deliver the expected design support in a successful & timely fashion, for the projects that are currently in progress under your charters, while also providing a helping hand to any team-member who might require some help.

What are we looking for ?

• ... have a Bachelor's degree in Design, UX, HCI, or similar area, or equivalent practical experience.
• ... have a strong portfolio of innovative design work that demonstrates strong UX/UI design skills, curiosity, empathy, business acumen and strong drive to learn
• ... have 4+ years of industry experience in Product Design** and/or design-led practices.
• ... have experience working with cross-functional teams and stakeholder management.
• ... have the ability to quickly incorporate feedback and think about how the UI will scale in future and integrate with the rest of the product.

Roles and Responsibilities

• Develop and manage highly trafficked, highly scalable web properties with PHP5 using Laravel/ZEND CodeIgniter/Yii/Symfony framework.
• Understand the specifications to define system requirements.
• Collaborate and communicate project updates and progress to team members and clients.
• Analyze, design, code, debug, test, document and deploy changes to the system.

Responsibilities::

• Based on the wireframes and project concept, create UI of screens to be used in mobile and web.

• Understand the UX and implement or enhance the screens accordingly.

• Work closely with the team in an agile mode to properly draft the requirements in the screen or mock-ups generated.

• Create newsletters, templates and graphics as and when required.

Skills::

• Proficient in Adobe Photoshop, Illustrator and other graphics tools

• Relevant experience in terms of designing screens for mobile and web apps

Website - https://praxinfo.com/">https://praxinfo.com/