Data Scientist Leader

1 week ago

Alwar, Rajasthan, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Analytics Professional

We seek a seasoned Senior Analytics Professional to deliver high-impact analytics solutions across the UK and Ireland.

Main Responsibilities:
  1. Dashboards and Reporting:
  • Create interactive dashboards and reports using Power BI and Microsoft Fabric.
Data Analysis and Visualisation:
  • Perform advanced data analysis and visualisation to inform business decision-making.
Data Pipelines and Queries:
  • Develop and maintain data pipelines and queries using SQL and Python.
Data Science Techniques:
  • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve complex business problems.
Machine Learning Models:
  • Build, validate, and tune machine learning models using scikit-learn, TensorFlow, or similar frameworks.
Deployment and Monitoring:
  • Deploy models into production environments and monitor their performance over time.
Collaboration and Communication:
  • Collaborate with stakeholders to translate business questions into data-driven solutions and communicate findings clearly.
Documentation and Reproducibility:
  • Document data science workflows and maintain reproducibility of experiments and models.
Support and Mentoring:
  • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts.
Requirements:
  1. Professional Certifications:
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)
  • SnowPro Core Certification (Snowflake)
  • Microsoft Certified: Azure Data Engineer Associate
  • AWS Certified: Data Analytics – Specialty
Technical Expertise:
  • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
Experience and Skills:
  • Hands-on experience in building and deploying machine learning models.
  • Ability to translate complex data into actionable insights.
  • Excellent problem-solving and communication skills.
Benefits:

  • Drive revenue growth through data-driven client solutions.
  • Contribute to organisational success through strategic analytics support.
Working Environment:

  • Able to work under pressure and adapt to change.

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