Data Scientist at Clairo

San Pedro Garza García, Nuevo Leon, Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Industrial IoT, AutomotiveIndustries

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field
5+ years of experience in machine learning and software engineering
Demonstrated success leading technical teams or driving complex projects in a production environment
Strong understanding of core ML and AI methods: supervised/unsupervised learning, classification, regression, clustering, deep learning, etc
High proficiency in Python, ML frameworks (PyTorch, TensorFlow, Scikit-learn), SQL, and cloud platforms
Experience working with time-series data
Excellent communication skills and ability to work effectively in cross-functional teams
Preferred Qualifications
Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field
Experience in industrial or automotive industry
Knowledge of MLOps tools such as MLflow, Airflow, Docker, Kubernetes
Experience with signal processing, edge computing, or physics-informed ML models

Responsibilities

Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting
Work with large-scale sensor data from connected devices
Develop robust data pipelines and real-time inference systems integrated with both edge and cloud infrastructure
Enforce best practices in model development, testing, and deployment
Collaborate with product managers and domain experts to ensure technical solutions align with strategic business goals

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowScikit-learnSQLMLflowAirflowDockerKubernetestime-seriespredictive maintenanceanomaly detectionMLOpsdata pipelinescloud platforms

Questions & Answers

Common questions about this position

What qualifications are required for the Data Scientist role?

Required qualifications include a Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5+ years of experience in machine learning and software engineering, demonstrated success leading technical teams or driving complex projects, strong understanding of core ML and AI methods, high proficiency in Python, ML frameworks (PyTorch, TensorFlow, Scikit-learn), SQL, and cloud platforms, experience with time-series data, and excellent communication skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Data Scientist role remote or does it require office work?

This information is not specified in the job description.

What does Clarios' company culture emphasize?

Clarios emphasizes sustainability with a rigorous focus, advancing best-in-class practices, ensuring 100% of products sold are recyclable, and recycling 8,000 batteries an hour, while collaborating across cross-functional teams to align technical solutions with business goals.

What makes a strong candidate for this Data Scientist position?

Strong candidates will have 5+ years in ML and software engineering, experience leading technical teams or complex projects, proficiency in Python, ML frameworks, SQL, cloud platforms, and time-series data, plus preferred experience in industrial sectors, MLOps tools, signal processing, or edge computing.

Clairo

Generates clinical evidence for trials

About Clairo

Clario specializes in generating clinical evidence for medical research by utilizing a comprehensive technology platform. Their services support various types of clinical trials, including decentralized, hybrid, and site-based trials. Clario's approach combines nearly 50 years of experience with a vast network of facilities across nine countries, allowing them to conduct a significant number of clinical trials and regulatory approvals. What sets Clario apart from competitors is their extensive expertise and the ability to provide a wide range of endpoint technologies, which enhances the quality of evidence produced. The company's goal is to empower partners in the healthcare industry to improve patient outcomes through reliable and rich clinical data.

London, United KingdomHeadquarters

1972Year Founded

$29.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Biotechnology, HealthcareIndustries

5,001-10,000Employees

Benefits

Competitive and equitable total rewards package

Physical, mental and financial health and wellness

Flexible working approach

Risks

Increased competition from AI-driven platforms like Medable may threaten Clario's market share.

The IPO filing may lead to investor pressure for rapid financial returns, affecting strategy.

AI integration from ArtiQ poses data privacy and compliance risks, especially in the EU.

Differentiation

Clario offers a comprehensive endpoint technology platform for diverse clinical trial models.

The company has nearly 50 years of experience in clinical trial technology solutions.

Clario's global presence includes 30 facilities across North America, Europe, and Asia Pacific.

Upsides

Clario's IPO aims for a valuation of over $10 billion, indicating strong market confidence.

The FDA clearance of SpiroSphere® with wireless ECG enhances Clario's clinical trial capabilities.

Clario's acquisition of ArtiQ boosts its AI capabilities in respiratory clinical trials.

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