Data Scientist

We are seeking a technically proficient Data Scientist / Data Analyst with expertise in both Power BI and Python-based dashboarding tools. The ideal candidate should have hands-on experience in building interactive and dynamic dashboards using Power BI and Python frameworks like Streamlit, Dash, or Plotly, enabling advanced visualization and seamless data-driven decision-making.

Key Responsibilities:

Data Analytics & Automation

• Clean, transform, and analyze datasets using Python (pandas, numpy) and SQL.
• Develop scripts to automate reporting, alerts, and data pipelines.
• Perform statistical and exploratory data analysis.

Dashboarding & Reporting

• Design and develop interactive dashboards using Power BI, including complex DAX formulas, slicers, drill-downs, and conditional formatting.
• Create dynamic, responsive dashboards in Python using frameworks such as Streamlit, Dash by Plotly, and Plotly charts.
• Embed Python visualizations into Power BI reports where needed.
• Ensure visualizations are business-friendly and performance-optimized.

Advanced Analytics (Optional for Data Scientists)

• Build machine learning models in Python (scikit-learn, XGBoost, TensorFlow).
• Deploy predictive analytics into dashboards or standalone apps.

Required Skills & Qualifications:

Technical Skills:

• Python (Mandatory)
• Data Analysis: pandas, numpy, openpyxl
• Visualization: matplotlib, seaborn, plotly
• Interactive Dashboards: Streamlit (must-have), Dash (nice to have), Plotly (charts and graphs)
• Optional: ML libraries like scikit-learn, statsmodels, or TensorFlow
• Power BI (Mandatory)
• Building interactive dashboards with filters, slicers, bookmarks, and drill-throughs
• DAX: Writing measures, calculated columns, and KPIs
• Power Query (M) for data transformation
• Data modeling best practices and performance tuning
• Other Tools
• SQL (strong knowledge required)
• Excel (advanced level)
• Git/GitHub for version control
• APIs and Python integration with external data sources (nice to have)

Soft Skills:

• Clear communication and storytelling using data
• Ability to balance technical detail with business clarity
• Proactive problem-solving and ownership mindset
• Agile collaboration with cross-functional teams

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related discipline. Master’s degree preferred for Data Scientist role.
• Microsoft Certified: Power BI Data Analyst
• Python for Data Science or Dashboarding (Coursera/Udemy/Streamlit.io)
• Google or AWS Data Analytics Certifications
• Mid-level (2–5 years): Proven hands-on work creating dashboards in both tools