Data Scientist

1 мес. назад

United KingdomEuropeSenior

machine learningstatistical modelingdata sciencetelemetryfeature engineering

Work as a Data Scientist to build and deploy advanced statistical and machine learning models for reliability and operational improvements in production AI infrastructure.

Условия

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
Family-level Medical Insurance
Family-level Dental Insurance 
Generous Pension Contribution 
Life Assurance at 4x Salary 
Critical Illness Cover 
Employee Assistance Programme 
Tuition Reimbursement
Work culture focused on innovative disruption
Benefits may vary by location.

Другое

 
What You’ll Do:
The Monolith Data Science team is building a layered reliability platform that shifts from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed data science directly into production environments—improving cluster reliability, increasing effective utilization (MFU), reducing MTTR, and protecting uptime and revenue.
About the role:
As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands-on deployment with analytical rigor, turning complex infrastructure data into measurable improvements in performance and cost. You will translate research and modeling insights into scalable, production-ready systems.
Who You Are:
MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field
8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets
Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)
Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
Experience working with distributed data systems (Spark, Ray, Dask, or similar)
Proficiency in SQL and working with large-scale structured datasets
Experience building, deploying, and maintaining predictive models in production environments
Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning)
Experience working with time-series data and performance telemetry
Ability to translate analytical insights into production-ready systems and workflows
Strong collaboration skills and ability to work cross-functionally in fast-paced environments
Preferred:
PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling
Experience with GPU workloads, distributed training, or AI infrastructure
Familiarity with Kubernetes, containerized workloads, or cloud-native systems
Experience deploying reinforcement learning or adaptive scheduling systems in production
Background in capacity planning, forecasting, or resource allocation modeling
Contributions to open-source ML or systems projects
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams—even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
You love uncovering hidden failure patterns in massive, noisy infrastructure datasets
You enjoy working directly with engineering teams to deploy solutions that have immediate real-world impact
You’re curious about building autonomous, agentic systems that investigate and explain system behavior
You’re an expert in reinforcement learning, predictive modeling, or large-scale data analysis
Why ?
At , we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
To fulfill our obligation to protect client data, successful applicants offered employment with will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
Recruitment Agencies
does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
This position requires access to export controlled information.  To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.   may, for legitimate business reasons, decline to pursue any export licensing process.
 
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