Data Scientist

Location:

Bengaluru, Karnataka, India

Job ID:

R0069604

Date Posted:

2025-05-26

Company Name:

HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

Mission Statement:

This role is responsible for leveraging data to drive business insights and decisions across various domains. As a Data Scientist, you will analyze large datasets to extract actionable insights, build predictive models, and support data-driven decision-making processes. You will work closely with cross-functional teams including engineering, product manage-ment, and business stakeholders to understand their data needs and deliver solutions that drive business value. You must possess strong analytical and problem-solving skills, and be proficient in working both independently and in teams.

Your Responsibilities:

• Analysing large datasets to identify trends, patterns, and insights that can inform business decisions

• Building and validating predictive models using statistical and machine learning techniques

• Creating clear and compelling visualizations to communicate findings to stakeholders

• Working closely with engineering, product management, and business teams to understand their data needs and deliver actionable insights

• Ensuring data quality and integrity by implementing best practices in data collection, processing, and storage

• Developing and maintaining dashboards and reports to track key metrics and performance indicators

• Staying up-to-date with the latest industry trends and technologies to continuously improve data science practices and methodologies

• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your Background:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field

• 10+ years of experience in data science or a related field

• Relevant certifications in data science or machine learning will be an added advantage

• Proficiency in programming languages such as Python or R

• Experience with data analysis and visualization tools such as SQL, Tableau, or Power BI

• Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights

• Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present findings to stakeholders

• Ability to manage multiple projects simultaneously and deliver results within deadlines

• Experience with machine learning frameworks such as TensorFlow, Keras, or Scikit-learn

• Familiarity with big data technologies such as Hadoop, Spark, or AWS

• Proficiency in data manipulation libraries such as Pandas and NumPy

• Experience with data visualization libraries such as Matplotlib, Seaborn, or Plotly

• Knowledge of natural language processing (NLP) libraries such as NLTK or SpaCy

• Understanding of deep learning frameworks such as PyTorch or MXNet

• Experience with cloud platforms such as AWS, Google Cloud, or Azure

• Knowledge of version control systems such as Git

• Familiarity with containerization technologies such as Docker and Kubernetes

• Strong attention to detail and organizational skills

• Ability to articulate and present ideas to senior management

• Problem-solving mindset with the ability to work independently and as part of a team

• Eagerness to learn and enhance knowledge unassisted

• Strong networking skills and global orientation

• Ability to coach and mentor team members

• Effective collaboration with internal and external stakeholders

• Adaptability to manage and lead transformational projects

• Proficiency in both spoken & written English language is required

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