Posted:1 month ago|
Platform:
On-site
Full Time
Hello Visionary!
We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.
Does that sound like you Then it seems like you'd make a great addition to our vibrant team.
We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you'll work on impactful projects that accelerate energy efficiency and sustainability on a global scale.
This position is for Chennai Location.
o Developing cloud-based data science solutions for energy monitoring, forecasting, and optimization.
o Designing and implementing ML algorithms for anomaly detection, forecasting, and predictive simulations.
o Collaborating with global software engineering teams to integrate AI/ML features into scalable cloud offerings.
o Translating complex data into actionable insights through dashboards and business-friendly reports.
o Investigating advanced statistical, AI, and machine learning models to solve real-world optimization problems.
o Working on large-scale time-series data from IoT sensors and building automation systems.
o Ensuring clean, structured, and high-quality data using modern data engineering best practices
o Ability to effectively communicate in English, both written and spoken.
o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record.
o 5 to 8 years of professional software development experience, with a minimum of 3 years in the analytics field (like data science, business intelligence), using professional Python 3.x & libraries
o Proficiency in Python 3.x and libraries like pandas, NumPy, scikit-learn, PyTorch/TensorFlow, statsmodels.
o Deep hands-on experience in machine learning, data mining, and algorithm development.
o Solid understanding of time-series modeling, forecasting, and anomaly detection.
o Working knowledge of cloud platforms (preferably AWS) and data lake architectures.
o Strong data wrangling, cleaning, and schema design skills .
o Ability to effectively communicate in English, both written and spoken.
o A collaborative, team-oriented attitude with a proactive mindset.
. Experience with Scala, graph analytics, or handling IoT/sensor data.
. Hands-on exposure to Angular, JavaScript, or other frontend technologies.
. Experience working in Agile software environments (scrum, sprint planning, retrospectives).
. Familiarity with Docker, Kubernetes, and GitLab CI/CD.
. Knowledge of clean code, TDD, and software integration processes.
. Collaborate with global product teams with 20+ years of technical excellence.
. Work in a disciplined SAFe Agile environment that values both delivery and work-life balance.
. Make meaningful contributions to product success in a transparent and empowering culture.
. Build scalable platforms that support sophisticated modular applications.
Join us and be yourself!
We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us.
Make your mark in our exciting world at Siemens.
This role is based in Chennai and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries.
Find out more about Siemens careers at: www.siemens.com/careers
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