Associate, Data Scientist

Ohmium Operations Private Limited; Doddaballapura; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Ohmium Operations Private Limited is seeking a data-focused professional to analyze industrial time-series data, build dashboards, and deploy analytics solutions on Azure. You will work with Pandas/NumPy, create visualizations, and develop AI-assisted use cases to improve manufacturing operations.

The role requires a Bachelor's in a related field and 1–3 years of hands-on experience with Python, Azure data services, and dashboard development.

Qualifications

• Proficiency in Python and data analytics libraries (Pandas, NumPy).
• Experience with time-series data analysis and forecasting.
• Hands-on experience building dashboards (Dash, Django, Streamlit).
• Exposure to Azure data services and ML deployment is a plus.
• Strong SQL querying and data manipulation skills.
• Solid statistical foundations (distributions, hypothesis testing, correlation).
• Curiosity to apply AI/GenAI tools to analytics problems.

Responsibilities

• Conduct data analysis using Python to support business objectives.
• Work with time-series data from industrial sources—extraction, cleaning, preprocessing.
• Build, deploy and maintain analytics pipelines on Microsoft Azure.
• Manipulate data with Pandas/NumPy for large, high-frequency datasets.
• Create interactive dashboards using Dash, Streamlit or Django.
• Perform exploratory data analysis to identify trends and anomalies.
• Develop AI-assisted analytics use cases and model-based insights.
• Explore AI-driven automation in dashboards and reporting workflows.
• Collaborate with manufacturing/operations stakeholders to gather requirements.
• Present insights clearly to technical and non-technical audiences.
• Write clean, efficient Python code and maintainability best practices.
• Troubleshoot data pipelines, Python, Azure services and databases.

Skills

Python

SQL

Pandas

NumPy

Time-series analysis

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Tools

Dash

Streamlit

Django

Azure

Plotly/Matplotlib

Job description

1. Conduct data analysis using Python and related libraries to support business and operations objectives.


2. Work with time-series data from Canary Historian and other industrial data sources - extraction, cleaning, and preprocessing.


3. Build, deploy, and maintain analytics solutions and pipelines on Microsoft Azure (e.g., Azure Storage, Azure Data Factory, Azure Functions, Azure ML/App Services).


4. Perform advanced data manipulation and transformation using Pandas and NumPy, including handling large, high-frequency time-series datasets.


5. Build interactive dashboards and visualizations using the Dash framework, Django, or Streamlit (and/or Plotly, Matplotlib, Seaborn).


6. Execute exploratory data analysis (EDA) to identify trends, patterns, and anomalies in operational data.


7. Develop and support AI-assisted analytics use cases - such as anomaly detection, predictive maintenance, forecasting, and trend detection - using ML models and/or AI tools (including GenAI/LLM-based tools, Azure Foundry where relevant).


8. Explore opportunities to integrate AI-driven automation into dashboards and reporting workflows to reduce manual effort.


9. Collaborate with stakeholders across manufacturing and operations teams to understand requirements and deliver analytics solutions.


10. Present analysis results and insights clearly to both technical and non-technical audiences.


11. Write clean, efficient, and maintainable Python code.


12. Troubleshoot and debug issues across Python, data pipelines, Azure services, and database environments.


13. Stay current with industry trends and best practices in data science, analytics, AI, and cloud technologies.

EDUCATION AND EXPERIENCE REQUIRED :

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


• 1-3 years of professional experience in data science, data analytics, or a similar role.


• Proficiency in Python and familiarity with data analytics libraries (Pandas, NumPy, etc.).


• Hands-on knowledge or coursework/project experience with Microsoft Azure (storage, compute, data pipelines, or app deployment).


• Exposure to time-series data analysis and forecasting techniques.


• Solid understanding of statistical concepts and techniques (distributions, hypothesis testing, correlation, regression basics).


• Hands-on experience with the Dash framework, Django, or Streamlit for building interactive dashboards - able to build a working dashboard independently.


• Working understanding of AI/ML concepts and practical experience applying them to analytics problems (e.g., basic model building with Scikit-learn, or working with AI/GenAI tools, Azure Foundry and APIs).


• Curiosity and initiative to explore how AI can improve existing analytics and reporting processes.


• Familiarity with SQL and experience querying relational databases.


• Excellent problem-solving skills, attention to detail, and ability to debug issues independently.

OHMIUM CULTURE :

At Ohmium, you are expected to embody and champion our core cultural values: Accountability: I own my tasks and execute on time. Demonstrate strong accountability by owning deliverables and decisions, ensuring timely and consistent results. Teamwork: I will not let other teams fail. Takes ownership beyond own team to support cross-team success and prevent failures, thereby fostering a collaborative work environment. Learning Mindset: I drive change and learn from mistakes. Exhibits a strong growth mindset by proactively leading meaningful change and consistently learning from experience. Winning Attitude: I compete to win. Showing up every day with a strong perspective, to drive results and be the BEST in Green Energy. Skills:- Education: Ohmium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Working for a dynamic company like Ohmium will provide you with the opportunity to join an organization which is accelerating the growth of green hydrogen production around the world. You can help deploy tangible real-world solutions to rapidly reduce greenhouse gas emissions from high carbon sectors such as energy, transport, steel, and cement production.