Collaboration & Communication: Work cross-functionally with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
Documentation & Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes. Promote and adhere to best practices in coding, experimentation, and reproducibility.
Innovation & Learning: Stay abreast of the latest developments in data science, machine learning, and AI. Proactively identify and evaluate new tools, frameworks, and techniques that can enhance our capabilities.
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field. PhD is a plus.
Proven experience (5+ years) in building, refining, and deploying machine learning/statistical models in a professional setting.
Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
Solid understanding of data structures, algorithms, and software engineering principles.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and model deployment tools (e.g., Docker, Kubernetes, MLflow) is highly desirable.
Familiarity with DWH technology (Snowflake…) and database systems (SQL/NoSQL).
Strong grasp of statistical concepts, hypothesis testing, and experimental design.
Excellent problem-solving skills, with the ability to break down complex issues into actionable tasks.
Outstanding communication skills, with the ability to convey complex technical concepts to non-technical audiences.
Demonstrated ability to thrive in a collaborative, fast-paced environment.
Preferred Qualifications
Experience in deploying models into real-time or high-availability production environments.
Familiarity with MLOps practices and tools.
Knowledge of data visualisation tools (e.g., Tableau, Power BI, Plotly, Dash).
Experience with CI/CD pipelines for ML projects.
Domain expertise in areas such as Energy, Billing & Invoicing, user behavioural analytics.
Driivz
- WHO IS VONTIER
- Vontier (NYSE: VNT) is a global technology company powering the way the world moves. We empower businesses in the transport sector to adapt to a fast-changing landscape by uniting productivity, automation and multi-energy technologies.
Our smart, connected solutions serve roadside convenience retail stores, fleet operators, and auto repair technicians. From integrated payments and EV charging software to carwash technology and retail automation, we help customers stay productive and prepared for a rapidly evolving industry.
With decades of expertise and a balanced portfolio, Vontier enables businesses to navigate complexity, unlock growth, and build a cleaner, safer future. Driven by continuous improvement and the dedication of Team Vontier, we empower businesses to think bigger, act boldly, and thrive on the road ahead. Learn more at www.vontier.com
At Vontier, we empower you to steer your career in the direction of success with a dynamic, innovative, and inclusive environment.
Our commitment to personal growth, work-life balance, and collaboration fuels a culture where your contributions drive meaningful change. We provide the roadmap for continuous learning, allowing creativity to flourish and ideas to accelerate into impactful solutions that contribute to a sustainable future.
Join our community of passionate people working together to navigate challenges and seize new opportunities. At Vontier, you are not on this journey alone, we are committed to equipping you with the tools and support you need to fuel your innovation, lead with impact, and thrive both personally and professionally.
Together, let’s power the way the world moves!
