Hitachi Hiring For The Role Of Junior Data Scientist

Hitachi is officially inviting applications for theJunior Data Scientist opportunity for candidates who are pursuing Bachelor’s degree  Apply now

PositionJunior Data Scientist
QualificationBachelor’s degree 
LocationBangalore, Karnataka, India
Salary6 LAP

Duties and Responsibilities:

Research and Develop Innovative Use Cases, Solutions, and Quantitative Models in Video and Image Recognition and Signal Processing for Hitachi’s cross-industry business (e.g., Energy, Industry, Mobility, Smart Life, and Financial Services).

Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types for Hitachi and its clients.

Provide R&D support to Hitachi business units and group companies to productize research prototypes.

Explore emerging tools, techniques, and technologies, and work with academia for cutting-edge solutions.

Collaborate with cross-functional teams and eco-system partners for mutual business benefit.

Generate eminence via patents, publications, thought leadership, invited speakerships, and conspicuous presence in forums of repute. 

Add value to self through continuous learning and knowledge acquisition.

Give back learnings to colleagues and communities.

Mentor colleagues for growth and success.

Mandatory Requirements: 

Academic Qualification:

Bachelor’s degree with a STEM background (Science, Technology, Engineering, and Management) with a strong quantitative flavor.

The candidate is required to build quantitative models from first principles and hence needs to have an excellent understanding of the basics of mathematics and statistics (e.g., differential equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigenvectors, Markov models, Fourier analysis).

Core Expertise: 

Strong Fundamentals:

The candidate is expected to specialize in Video and Image Signal Processing. A solid understanding of Video and Image Recognition is a pre-requisite. It is good to have hands-on model implementation skills for any one of the below areas.

1. Image segmentation:

Thresholding, edge detection, and linking, region growing.

Deformable shapes, active contours, etc.


2. Image representation:

Basic descriptors: area, minor axis length, major axis length, normalized axis ratio, eccentricity, Fourier descriptors, shape numbers, etc.

Binary descriptors: ORB, BRISK, LBP, etc.

Advanced descriptors: HoG, SIFT/SURF, GLOH, etc.

3. Object detection/classification (using classical image processing & Deep Learning)

4. Image/background modeling, and change/anomaly detection using image processing.

5. Technology stack (e.g., OpenCV, Pillow, torch vision, TensorFlow, Caffe, Python/Keras).

Emerging Trends – Artificial Intelligence and Machine Learning:

Good Understanding of working principles of neural networks and underlying algorithms (e.g., convolutional-CNN), recurrent-RNN-LSTM-GRU, Generative Adversarial Network (GAN), back-propagation, loss function, gradient descent)

Data Wrangling and Model Lifecycle Maintenance:  

Experience in data cleaning, ETL, pipeline building, and model maintenance, using a commonly used methodology (e.g., Airflow, MLflow)

Communication: Ability to articulate key messages concisely and precisely

Collaboration:  Excellent interpersonal and teaming skills

Additional Preference:

Advanced Qualification: Ph.D. in any Quantitative Discipline

Eminence: Patents, publications, thought leadership, invited speakership, and conspicuous presence in refereed platforms or forums of repute.


These are the followings steps for fill the application form:-

  • As always, read all the information on this page and check the qualifications.
  • After reviewing and reading, scroll down and click on Apply Now text.
  • You will be redirected to the job page on Superset’s website.
  • Recheck all the details and information provided there.
  • Click on the Apply now button.
  • If you already have an account on the Superset website, login. Otherwise, create a new one.
  • After signing in, enter all the required details and apply.

Eligible and Interested candidates fill out the online application form through our link below.



Leave a Comment

Your email address will not be published.