Lead Data Scientist
Schneider Electric
Bangalore, Karnataka, IN
16h ago

Job Description

Lead Data Scientist-006O1N

Lead Data Scientist - Artificial Intelligence & Machine Learning

Job Profile

Does working with data on a day to day basis excite you? Do you always look for solving business problems using data as your primary source of truth?

Are you interested in enabling your consumers to forecast and predict what actions to undertake based on data? If this is what excites you, then you’ll love working in our intelligent automation team.

Schneider Digital is leading the digital transformation of Schneider Electric by building highly available, massive scalable digital platform for the enterprise.

demonstrated thought-leadership & proven ability to lead the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to drive powerful business results.

You will have the opportunity to work with a wide range of stakeholders and functional teams to help them discover insights hidden in data sets and enable stakeholders to improve business.

AI ethics, fairness and secure development practices are also our focus areas.


  • Coordinate with business teams to monitor outcomes and refine / improve the machine learning models
  • Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
  • Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers
  • Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity
  • Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner
  • Build frameworks leveraging APIs to industrialize AI models across the organization
  • Adhere to stringent quality assurance and documentation standards using version control and code repositories (, Git, GitHub, Markdown)
  • Requirements and Skills

  • You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field
  • You should have 10+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory.
  • In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning / preparation, dimensionality reduction is required
  • Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable
  • Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus
  • Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.
  • Fluency in programming skills such as Python, R, or other equivalent languages
  • Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable
  • Experience working with Amazon SageMaker or Azure ML Studio for deployments is required
  • Experience in data visualization software such as Tableau, ELK, etc is a plus
  • Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems
  • Effective communication skills (written and verbal) to properly articulate complicated statistical models / reports to management and other IT development partners
  • About Us

    Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries.

    From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations.

    Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment :

    Great people make Schneider Electric a great company.

    We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners.

    We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company.

    We’re looking for people with a passion for success on the job and beyond. See what our people have to say about working for Schneider Electric :


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