Dear Aspirant!

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 international team.

Siemens founded the new business unit Siemens Advanta (formerly known as Siemens IoT Services) on April 1, 2019, with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Advanta is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and authoritative specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation - everything out of one hand!

As the Lead Data Scientist at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation.

We are looking for: Lead AI Engineer

You’ll make a difference by:

Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise.Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.Design, develop, and implement advanced machine learning and statistical models to solve complex business problems.Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis.Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets.Develop predictive/prescriptive models, algorithms, and prototypes to support business. Should have working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system.Should have hands-on experience in Forecasting using traditional ML and Deep NetworksPerform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms.Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations.Should understand CI/CD processes in product deployment and used it in delivery.Should have an understanding of the Dockerization, REST APIsWorking knowledge on software development processes.Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes.

You’ll win us over by

8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms.A master’s or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++.Exposure to the industrial engineering domain is preferred.Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus.Proficient in the use of data science toolsExcellent analytical/statistical skills.Proactive and willing to learn new technologies.Excellent verbal, written and presentation skills.

Make your mark in our exciting world at Siemens.

This role is based in Bangalore. You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – 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. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality.

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds