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. 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. The role involves working with data from our Remote Monitoring Command Application Software (SCADA), with Canary Historian as the primary time-series data source,and owning analytics dashboards/pipelines end-to-end — from data extraction to deployment on Microsoft Azure.
Ohmium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
