> Markdown version of [/jobs/ext/1459156-head-of-data-science-machine-learning](https://www.wearedevelopers.com/jobs/ext/1459156-head-of-data-science-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data Science/ Machine Learning - **Company:** HARAMAIN SYSTEMS INC. - **Location:** Pleasanton, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Cyber Security, Python (Programming Language), Machine Learning, Software Engineering, Feature Engineering, Production Code, Machine Learning Operations - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e8f74a5a456f4709 ## About the Role * Preferred Master's or PhD in a relevant STEM field, but exceptional Bachelor's profiles considered., * Combination of machine learning engineering and data science, capable of writing production code. * Strong communicator, able to articulate complex information effectively. Team Culture and Expectations * High-caliber, select team with high expectations and visibility. * Autonomy in growing products and scaling teams, with a strong focus on technical and problem-solving capabilities. Seniority * 7 - 15 years of experience in applied ML/data science, building production models in fintech, cybersecurity, or other high stakes domains * Work experience * 4+ years managing data science/ML teams in high-growth startups (must have managed people building and deploying ML products core to the business) * Proven track record of solving complex / high profile business problems with DS / ML solutions. (Scaled a product suite of ML models, not just one model) * Held senior/leadership role at a fast growing startup (20-400 people) with broad scope * Shows great slope and career progression Education Master's or PhD in a STEM field (math, stats, CS, physics, engineering) - target top universities End-to-end ML: feature engineering, model training, productionalization, monitoring Strong software engineering abilities in Python Domain experience in fraud, identity verification, or financial risk Experience in communicating progress + outcomes to senior management / stakeholders ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [Secure and Private AI - DeepMask](https://www.wearedevelopers.com/videos/1665-secure-and-private-ai-deepmask) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)