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Senior Data Science
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We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company's projects Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work
Project - the aim you'll have
We are looking for a Senior Data Science to join one of our USA Clients, a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on our back-end data pipeline and analytics stack, and you will be responsible for building a range of features and data services, from exploratory prototypes to robust, hardened production implementations.
If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you
ResponsibilitiesResponsible for building and maintaining back-end data pipelines and analytics services. Contribute to exploratory prototypes and develop robust, production-ready implementations. Work across unfamiliar data domains to quickly build understanding and deliver value. Communicate insights effectively through dashboards and data storytelling.
Qualifications- 7+ years of experience in data science, applied analytics, or adjacent roles.
- Bachelor's or master's degree in Computer Science, Mathematics, Physics, Mechanical or Chemical Engineering, Computational Statistics, or a related technical field.
- Proven ability to work across unfamiliar data domains and quickly build understanding.
- Experience in industrial / manufacturing data (energy, process, or climate-related) is a plus.
- Strong programming skills in Python, with experience writing production-quality code.
- Proven data analysis and statistics foundation—able to recognize what makes a "good" analysis even if the AI is doing the heavy lifting.
- Experience designing dashboards and visualizations that communicate insights effectively.
- Strong critical thinking, problem-framing, and hypothesis-driven analysis.
- Excellent communication skills with a talent for data storytelling.
- Intellectual curiosity and ability to adapt quickly to new problem spaces.
- Comfort working in fast-paced, startup-style environments.
- Familiarity with modern AI / LLM tools and workflows.
- Prior experience configuring or extending agent-based or automated analytics systems.
- Exposure to cloud platforms (AWS / GCP / Azure) and data engineering concepts.
- Understanding of manufacturing and / or energy-related industrial challenges.
- Educational resources
- Flexible schedule and work from anywhere
- Referral Program
- Supportive and chill atmosphere
