Associate, Data Scientist

Ohmium Operations Private Limited; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Ohmium Operations Private Limited is seeking a Data Science Associate in Bengaluru to analyze industrial data using Python, build Azure-based analytics pipelines, and develop interactive dashboards with Dash, Django, or Streamlit. You will work with time-series data, apply statistical methods, and contribute to AI-assisted analytics initiatives.

The role requires 1–3 years of experience, a strong foundation in Python and Azure services, and the ability to translate business needs into actionable

Qualifications

• Bachelor's degree in CS/DS/Math related field.
• 1-3 years of professional data science/analytics experience.
• Proficiency in Python and data analytics libraries.
• Hands-on experience with Microsoft Azure data and compute services.
• Exposure to time-series analysis and forecasting techniques.
• Solid understanding of statistics, distributions, hypothesis testing, and regression basics.
• Hands-on experience building dashboards with Dash, Django, or Streamlit.
• Working knowledge of AI/ML concepts and practical exposure to models.
• Curiosity to explore AI-driven improvements in analytics and reporting.
• Familiarity with SQL and relational databases.
• Strong problem-solving, debugging, and attention to detail.

Responsibilities

• Conduct data analysis with Python to support business and operations goals.
• Work with industrial time-series data for extraction, cleaning, and preprocessing.
• Build and maintain analytics pipelines on Azure (storage, data factory, functions).
• Manipulate data with Pandas/NumPy; handle high-frequency data.
• Create interactive dashboards with Dash, Django, or Streamlit.
• Perform exploratory data analysis to identify trends and anomalies.
• Develop AI-assisted use cases (anomaly detection, forecasting) using ML/AI tools.
• Explore AI-driven automation to enhance dashboards and reports.
• Collaborate with manufacturing and operations teams to gather requirements.
• Present insights clearly to technical and non-technical audiences.
• Write clean, efficient Python code and troubleshoot across the stack.
• Stay updated on data science, analytics, AI, and cloud trends.

Skills

Python

Pandas

NumPy

SQL

Time-series

Statistical analysis

Dash

Streamlit

AI/ML concepts

Education

Bachelor's degree in Computer Science or Data Science

Tools

Azure

Azure Data Factory

Azure Functions

Azure ML

Plotly

Matplotlib

Seaborn

SQL database

Job description

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 andexecuteon 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 upevery daywith a strong perspective, to drive results and be the BEST in Green Energy.
We are seeking a motivated and technically strong Data Science Associate to join our team. The incumbent should have hands on experience working on with real-world industrial time-series data, building and deploying analytics solutions on Azure, and developing interactive dashboards.

Ohmium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.