Chief Data Architect

1 week ago

Davangere, Karnataka, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About Us

We are a global consultancy headquartered in Australia. We specialize in providing full-spectrum services, including strategy, mine planning, and technical evaluations for coal and metalliferous mines.

Our expertise in structured problem-solving and innovative thinking helps clients maximize the value of their assets.

We collaborate as trusted partners, delivering impactful solutions that drive success in the mining industry.

Job Overview

As a Data Scientist on a 2-month fixed contract with a potential extension, you will deliver data-driven initiatives across the business.

You will work closely with cross-functional teams to uncover actionable insights, optimize performance, and drive strategic outcomes.

This role demands deep expertise in data mining, statistical modeling, algorithm development, and simulation design.

You will be passionate about solving complex problems using large, diverse datasets and skilled in translating analytical findings into business impact.

Comfort with stakeholder engagement and the ability to influence across all levels of the organization is essential.

Key Responsibilities and Deliverables
  • Collaborate with stakeholders to identify opportunities for leveraging data to solve business challenges and improve outcomes
  • Mine and analyze structured and unstructured data using tools such as Python, R, SQL, and Spark
  • Build and implement predictive models, simulations, and machine learning algorithms to optimize customer experience, revenue, and operational efficiency
  • Assess and validate new data sources and collection methods for accuracy and relevance
  • Develop custom data models and scalable algorithms tailored to business needs
  • Use Power BI to visualize insights and communicate findings effectively
  • Lead automation of data flows, reporting, and analytical processes using Python, R, Power Query, and cloud-based tools
  • Coordinate with engineering, product, and business teams to deploy models and monitor performance
  • Design and implement tools and processes to track model accuracy, data quality, and business impact
  • Deliver training modules and mentor junior analysts to build analytical capability across the organization
  • Share best practices and foster a culture of continuous improvement and data literacy

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