Senior Data Scientist

Senior Data Scientist 

Why Join Tech9?

At Tech9, we are driven by a clear vision—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. As a company at the forefront of innovation, we help our clients build exceptional software that not only meets today’s needs but anticipates tomorrow's challenges. Our approach blends cutting-edge AI technology, top-tier talent acquisition, and expert project management to ensure that businesses can scale effectively and deliver high-quality, world-class software on time and within budget.

Our partnerships speak volumes, with clients like Instructure, Young Living, Imagine Learning, Mars Corp., and many others trusting us to lead the way in software development. We are rapidly growing across our offices in the US, LATAM, and India, and we're creating an environment where talented individuals can thrive, collaborate, and have fun while building transformative solutions.

If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we’d love to hear from you. Join us as we work together to redefine the world of software development!

Project Overview

Our client is a fast-paced startup that provides advanced solutions to detect and mitigate digital threats, including disinformation, for brands, Fortune 1000 organizations, and government entities. They leverage proprietary platforms combined with cutting-edge data science, machine learning, and open-source intelligence to enable real-time, informed decision-making. As a Data Scientist on the team, the candidate will play a leadership role in driving innovative frameworks and technologies to enhance the client’s capabilities. The role will involve working with technologies like Allures, Ray for APIs, Python, OpenAI’s LLMs, Langchain, and MLflow to create scalable, efficient, and impactful solutions. The ideal candidate will bring expertise in these areas, with a focus on building systems that empower organizations to combat digital threats effectively. This is an opportunity to make a significant impact in the fast-evolving world of online security while leading a dynamic and talented data science team.

Role Overview

As a Senior Data Scientist, you will lead the design and prototyping of data models that enable actionable business insights, working closely with engineering and product teams to inform Alethea’s next-generation detection and response platforms.

You will serve as a bridge between analytical insights and scalable AI/ML frameworks, ensuring our models and tools drive measurable impact for our clients.

Key Responsibilities

Data Analysis & Modeling

• Lead data exploration efforts and conduct advanced statistical and machine learning analysis on large, complex datasets.
   
• Prototype and validate machine learning models (e.g., classification, anomaly detection, clustering) aligned with business needs and client scenarios.
   
• Identify data trends, gaps, and patterns to drive investigative insights and reporting.
   

AI/ML Integration & Collaboration

• Work with Fullstack ML and Data Engineers to transition prototypes into scalable systems using LangChain, Ray APIs, and MLflow.
   
• Contribute to the design of pipelines that utilize OpenAI LLMs for content generation, summarization, and classification tasks.
   
• Collaborate cross-functionally with product, engineering, and threat intelligence teams to develop and refine data products.
   

Reporting & Visualization

• Build dashboards, reports, and analytical tools to communicate findings to technical and non-technical stakeholders.
   
• Support customer-facing teams with data-driven storytelling and reports.
   

Technical Stack

• Programming & Libraries: Python (Pandas, Scikit-learn, Ray)
   
• AI/ML Frameworks: OpenAI (LLM integration), LangChain (for frameworks & pipelines), MLflow (for model lifecycle management)
   
• Visualization: Matplotlib, Plotly, and dashboarding tools
   
• Data Engineering: SQL, distributed data processing tools
   

Required Skills & Experience

• 7+ years of experience in data science, machine learning, or analytics, with the past 3+ years focused on data science
   
• Experience working remotely with cross-functional teams across product, engineering, and data domains.
   
• Strong expertise in prototyping, validating, and interpreting machine learning models.
   
• Demonstrated experience working with LLM ecosystems and integrating AI into decision support systems is highly preferred.
   
• C1+ proficiency in English
   
• Based in LATAM (Mexico, Costa Rica, Colombia)

Preferred Skills & Experience

• Master's Degree in Artificial Intelligence or equivalent

At Tech9, we are committed to providing a smooth, efficient, and transparent candidate experience. Our goal is to move quickly through the interview process, typically completing it within 2-3 weeks, depending on availability. We want to make sure you have clarity on every step, and we will keep you informed about the next steps as we progress. The desired start date for this position is June 15th, and we aim to complete the process well before then.

Interview Plan:

1. Screening Interview (On-Demand HireVue)
   Duration: 15-30 minutes
   Format: Online assessment where we will gauge your initial qualifications and experience.
    
2. Recruiter Q&A
   Duration: 10 minutes
   Format: Virtual discussion with our recruiter to address any initial questions and go over the job details.
    
3. Round 1: AI Team Interview
   Duration: 1 hour
   Format: Virtual interview with a senior member of our AI team, focusing on technical expertise and problem-solving skills.
    
4. Round 2: Principal Engineering Team Interview
   Duration: 1 hour
   Format: Virtual interview with a principal member (VP of Engineering, CTO, or CEO) of our engineering team, diving deeper into your technical abilities, experience, and alignment with our team culture.
    
5. Hiring Manager Interview
   Duration: 15-30 minutes
   Format: Virtual interview with the hiring manager to discuss the role in more detail, evaluate cultural fit, and review your experience.
    
6. Client Interview
   Duration: 30 minutes
   Format: Virtual interview with a client representative to assess how your skills and experience align with the client’s needs and expectations.
    

Next Steps:
We aim to finalize decisions and extend offers within a few days after the final round of interviews, ensuring a swift and transparent process. Our goal is to have you ready to start by June 15th.

We look forward to getting to know you better and moving quickly through this process to bring you on board as part of the Tech9 team!

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