Battery Analytics Data Scientist

**Looking for challenging role? If you really want to make a difference - make it with us**

Siemens Energy is focused on helping customers navigate the world’s most pressing energy problems.

As a world leader in developing and producing the most advanced engineering technologies, we improve lives and further human achievements worldwide, while also protecting the climate - all thanks to our employees.

With us, you can do something significant that benefits society and human progress

**Your new role - challenging and future-oriented**
- You should be passionate to solve battery analytics problems using data-based approaches.
- Work with the battery energy storage system (BESS) stakeholders to identify the improvement areas in the currently available techniques.
- Explore different feature extraction methodologies and performance metrics of batteries under different battery usage and ageing conditions for discovering insights.
- Develop new monitoring indicators and their associated algorithms using time series prediction and anomaly detection techniques, with the final goal to deploy them using cloud-based tools.
- Run cloud-based data models to improve battery power and energy estimation based on current, voltage and temperature data points across various drive cycles and geographies.
- Accelerate battery analytics platform development and model management using cloud-native solutions.

**We don’t need superheroes, just super minds**
- BS/BE/BTech, or MS/MCA degree in Data Science / Statistics / Computer Science / Information Systems/Electrical engineering/Mechanical engineering.
- A Master’s or PhD is preferred (Statistics /Computer Science / Machine Learning, etc). Proficiency with data mining, mathematics, and statistical analysis with significant hands-on experience in AI / Data Science.
- You need to be an engineering graduate with at least 6-8 years of experience in design and development.
- You should have ability to work as an individual contributor (IC role).
- You must have Customer focus and effective stakeholder management skills.

**Expected Skills**:

- Knowledge of data wrangling, data cleaning and data visualization techniques.
- Knowledge in signal processing, statistics, time series forecasting, probabilistic machine learning and deep learning frameworks.
- Programming skills in Python/R/MATLAB etc. and demonstrable skills in standard data visualization libraries like matplotlib, seaborn, bokeh, plotly, ggplot2 etc. and deep learning frameworks including Tensorflow, Pytorch, Keras, CNTK etc.
- Demonstrable history of production-ready algorithm/model development and hyperparameter tuning.
- Must have good understanding of different Cloud Systems, knowledge of AZURE/AWS Cloud and services is must to have.
- Experience working with and creating data architectures.
- Has worked in agile projects with tools such as Git, Leankit, Jenkins and Jira
- Good knowledge of querying SQL & No SQL databases.
- Experience in developing & deploying the end-to-end data science pipeline into production.
- Good analytical, debugging and tracing skills. Should be well-versed with clean code principles (SOLID, DRY, KISS). Exposure to secure coding is beneficial.

**Good if you must have**:

- Knowledge in the battery electrification domain and a good understanding of the physical sciences in lithium-ion batteries.
- Basic knowledge of FastAPI, DASH, Streamlit, Gradio would be beneficial.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.

**Other expected traits**:

- Creativity and analytical mindset
- Quick learner and detailed oriented
- Excellent communication skills with an ability to present articulated solutions to senior management and staff levels.

**We’ve got quite a lot to offer. How about you?**

This role is based in Gurugram. 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.

**Organization**: Siemens Energy

**Company**: Siemens Limited

**Experience Level**: Experienced Professional

**Job Type**: Full-time