Data Analyst II

Job Summary

We are looking for a hands-on Data Scientist & Python Developer with around 5 years of experience in building, deploying, and maintaining machine learning models and data-driven applications. The role focuses on independent delivery of ML features end to end, working closely with senior data scientists, architects, and product owners.

Key Responsibilities

Develop, train, and evaluate machine learning models for business and industrial use cases.Build Python applications, REST APIs, and data pipelines to operationalize models.Develop forecasting, anomaly detection, and predictive analytics models.Deploy models using Docker and CI/CD; support model monitoring and retraining.Perform data exploration, cleansing, and feature engineering on structured and time-series data.Work with product owners and stakeholders to understand requirements and present results.Participate in code reviews and support junior team members.

Required Qualifications

Bachelor’s or Master’s Engineering degree in Computer Science, Data Science, Engineering, or related field.4–6 years of experience in Data Science, Machine Learning, and Python development, with at least 2 models deployed to production.

Technical Skills

Programming: Python, SQL; FastAPI or FlaskML Libraries: Scikit-learn, XGBoost, Pandas, NumPy; TensorFlow or PyTorchData Engineering: Spark, Airflow (Kafka, Databricks – exposure)Cloud: Azure, AWS, or GCP (at least one, hands-on)MLOps: Git, Docker, MLflow, CI/CD (Kubernetes – exposure)Visualization: Power BI, Tableau, or Plotly

Preferred Experience

Exposure to Industrial AI, Manufacturing, Energy, or IoT data (sensor / time-series).Working knowledge of GenAI, LLMs, RAG, or Agentic AI frameworks.

Ownership & Growth Expectations

Own ML features/modules end to end with minimal supervision.Contribute to design discussions; follow engineering and data science best practices.Share knowledge within the team and guide junior members.Continuously upskill in emerging AI/ML technologies.

Responsibilities Vs. Competencies Matrix

Responsibility

Key Competencies

ML Model Development

Machine Learning, Statistics, Feature Engineering, Model Evaluation

Python Application Development

Python, REST API Development, Clean Code, Unit Testing

Data Pipeline Engineering

ETL/ELT, SQL, Spark, Airflow (Kafka exposure)

MLOps & Deployment

Docker, CI/CD, MLflow, Model Monitoring

Cloud Solution Development

Hands-on with Azure, AWS, or GCP services

Stakeholder Engagement

Communication, Requirement Understanding, Presenting Insights

Team Collaboration

Peer Reviews, Knowledge Sharing, Guiding Junior Members

Must-Have Skills

4–6 years of experience in Data Science and Python developmentStrong Python and SQL; hands-on with Scikit-learn and TensorFlow or PyTorchExperience deploying at least one ML model to productionHands-on experience with one cloud platform (Azure, AWS, or GCP)Basic data engineering skills (ETL, Spark or Airflow)Good communication and collaboration skills

Good-to-Have Skills

GenAI, LLMs, RAG, or Agentic AI exposureIndustrial AI, Manufacturing, Energy, or IoT domain knowledgeKubernetes, Kubeflow, Databricks, Delta LakePredictive Maintenance or Digital Twin projectsComputer Vision or Reinforcement Learning projects

Behavioral Skills

Structured problem-solving and strong analytical thinking.Takes ownership of assigned deliverables and quality of outcomes.Collaborates effectively in cross-functional, agile teams.Adapts to changing priorities and learns quickly.Focuses on delivering measurable business value.

Soft Skills

Analytical thinking, clear communication, teamwork, problem-solving, and eagerness to learn.

Bring your analytical expertise to a team that's ready to welcome you — apply today!

Rewards designed for you

Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.

Country-specific programs and initiatives may be available.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today!

€40 billion global revenue

+9% organic growth

150 000+ employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

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