The Role
Develop statistical and machine learning models to analyze and optimize mining operations. Collect, clean, integrate, and model data; create dashboards and visualizations; collaborate with domain experts; automate workflows; and deploy production solutions using Python and modern data tools. The role may lead data scientists and engineers and requires expertise in data engineering, SQL, BI, application logic, testing, and infrastructure, with mining or industrial-process knowledge preferred.
Summary Generated by Built In
About Tarento:
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.
We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.
Job Description:
We are looking for a data-driven problem solver who can transform mining data into actionable insights and predictive solutions. You will work with diverse datasets to analyze, model, and optimize mining operations, leveraging advanced analytics and machine learning. You have also abilities to become the lead engineer of a team of data scientists and data engineers.
What you’ll do:
- Collect, clean, and integrate data from multiple sources.
- Develop statistical models and machine learning algorithms to predict and optimize operational performance.
- Build data visualizations and dashboards to communicate insights effectively.
- Collaborate with domain experts to identify opportunities for data-driven improvements.
- Automate workflows and deploy models into production using Python and modern data science tools.
- Python, SQL, Machine learning and statistical modeling, including feature engineering, predictive analytics as well,
What we’re looking for:
- Strong skills in Python (pandas, scikit-learn, etc.) and SQL.
- Experience with data modeling, feature engineering, and predictive analytics.
- Familiarity with visualization tools (e.g., Power BI, Bold BI, or custom dashboards).
- Ability to learn quickly and apply creative thinking to real-world challenges.
- Bonus: Knowledge of mining or industrial processes.
- Python, SQL, Machine learning and statistical modeling, including feature engineering, predictive analytics as well,
Your Qualifications and Key Responsibilities
- Over 3 years of hands-on experience in data engineering, specializing in advanced SQL, ETL/ELT processing, and database administration for PostgreSQL and Microsoft SQL Server, with expertise in performance tuning and dimensional modeling.
- Skilled in business intelligence using Power BI and/or Bold BI for data modeling, DAX/expressions, row-level security (RLS), and scheduled data refreshes, as well as low-code development in Retool for building queries and app components.
- Proficient in Python and JavaScript for developing data and application logic, with a strong foundation in testing, quality assurance, Git version control, and promoting solutions across environments.
- Demonstrates a creative, self-driven approach to problem-solving, operating confidently across data, application, and infrastructure layers, and bringing a vertical understanding of mining operations and industrial processes.
- Bonus capabilities include experience with Azure Data Factory, workflow automation tools (n8n), AI agents/Copilots, Linux, Docker/Kubernetes, IoT/streaming platforms (MQTT, Kafka), and mining/industrial telemetry integrations.
Skills Required
- Over 3 years of hands-on experience in data engineering
- Advanced SQL, ETL/ELT processing, and database administration
- Experience with PostgreSQL and Microsoft SQL Server, including performance tuning and dimensional modeling
- Strong Python skills, including pandas and scikit-learn
- Experience with data modeling, feature engineering, predictive analytics, machine learning, and statistical modeling
- Experience with Power BI and/or Bold BI, including data modeling, DAX or expressions, row-level security, and scheduled data refreshes
- Proficiency in Python and JavaScript for data and application logic
- Experience with testing, quality assurance, Git version control, and promoting solutions across environments
- Familiarity with Retool for building queries and application components
- Knowledge of mining or industrial processes
- Experience with Azure Data Factory, n8n, AI agents or Copilots, Linux, Docker or Kubernetes, MQTT, Kafka, or industrial telemetry integrations
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The Company
What We Do
Tarento is a Nordic-Indian IT services company that helps organizations navigate digitalization through enterprise applications, data and information management, mobile and custom solutions. Its offerings span digital, data, AI, cloud, consulting, software development, integration, testing, and application management. The company also builds scalable web and mobile apps, portals, platforms, and products for clients across industries, combining technology expertise with data-management capabilities.
