Data Scientist - Bengaluru, India - Koch Business Solutions India

Koch Business Solutions India
Koch Business Solutions India
Verified Company
Bengaluru, India

1 month ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description

Description

Data Scientist


Our group of highly skilled, enthusiastic data scientists and operations research engineers is redefining what is possible for Guardian by utilizing the massive amount of process data to transform operations and research and development.

We invest in our team by encouraging attendance at industry conferences and ongoing education opportunities enabling them to stay on the dynamic ever-changing data science landscape and bring new methods and techniques to their projects.


Responsibilities
Develop a strong understanding of the operations and business processes and identify possible opportunities that add value.

  • Interact with business and manufacturing SMEs to identify requirements and propose solutions.
  • Have the intellectual curiosity to research and identify new modeling technologies/methodologies/software packages to improve the current modeling processes
  • Continuously scan and test new data sources, tools, and analytical techniques and partner with leading institutions and experts to contribute to our portfolio of nextgeneration analytics projects.
  • Interface with key stakeholders and technical experts to ensure hardware and software support for data analytics is maintained
  • Analyze large complex time series datasets to extract useful patterns to deliver business insights and communicate results to key decision makers
  • Issue reports detailing tool development (including unsuccessful approaches), quality assurance actions performed, results, etc.
  • Work with data engineers to improve functionality in data systems (e.g., data reliability, efficiency, usability, and quality) and improve downstream data analysis capabilities
  • Work with various functional teams; owning endtoend solution development and scaling focused on operations challenges.
  • Rapidly design, prototype, and test many possible hypotheses. Further, focus on building minimum viable products toward solving most of the issue instead of "perfecting" the solution, unless critical to safety.
  • Strong communication skills for technical and nontechnical audience. Solid technical writing and presentation skills.
  • Strong datadriven storytelling to present to stockholders.
  • Leverage analytical rigor and statistical methods, and creativity to solve problems.
  • Research and implement advanced Machine Learning techniques to solve operation and business opportunities; move from proof of concept to minimum viable product efficiently.
  • Leading and working on multiple projects at the same time and switching priorities as the business needs require.
  • Employ visualization, reporting and other tools to improve the ways in which teams access various datasets.
  • Strong datadriven storytelling to present to stockholders.

Qualifications:


Required:

  • Bachelor's/Master's degrees with 2+ years of experience in a quantitative field (Data Science, Engineering, Statistics, Computer Science, Physics, Operational Research, Economics, or equivalent)
  • Strong experience in signal processing
  • 2+ years of experience with handson experience in programming with Python and machine learning packages (Tensorflow/PyTorch, Keras, Scikitlearn, Pandas, Numpy, Plotly, Plotly Dash, Streamlit, etc.)
  • Fluent with SQL.
  • Experience with project management (e.g., Agile) and executing projects that require crossfunctional.
  • Experience using concepts of power analysis, hypothesis testing, inference, and DOE
  • Experience with various computing infrastructures and technologies e.g., AWS, GPU, Linux, GIT, etc.
  • Willing & able to travel up to 10% of the time

Preferred:

  • Ph.
D. degree in a quantitative field (Data Science, Engineering, Statistics, Computer Science, Physics, Operational Research, Economics, or equivalent)

  • Working knowledge of glass manufacturing processes and/or vacuum coating
  • Experience in process operations analytics and manufacturing optimization
  • Knowledge of tools such as Spark, Hadoop, Pig, Kafka, Kinesis, Docker, Snowflake, Amazon SageMaker, AWS, Azure
  • Knowledge in FinTech
  • Experience with UI/UX.

TRAVEL REQUIREMENTS:

The position will require travel in the range of 10%.


LOCATION:

Flexible.

Koch is proud to be an equal opportunity workplace
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