Data Scientist

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.

• 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