Senior Data Scientist - 25418
24 Oct 2025
Brno, Czechia
Verified by Turrior
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
84 / 100
Offer value
High value due to strong growth opportunities in data science, competitive technology stack, and focus on professional development.
- Leadership role in data science at a tech-driven company
- Focus on innovative solutions utilizing modern technologies
- Strong potential for professional development and growth
- Should have solid technical expertise to succeed
Pros
- Collaborative team environment with a strong focus on innovation
- Leadership opportunity in a crucial data science field
- Integration of cutting-edge technologies like machine learning and AI
Cons
- Requires a deep technical skill set that may limit candidate pool
- Project timelines may be demanding and create stress
- Limited specifics on compensation structure given
Who it's for
Mid-level to Senior • Remote or hybrid work model
Good fit
- Experienced data science professionals
- Innovators eager to work on impactful projects
- Candidates passionate about machine learning and analytics
Not recommended for
- Individuals seeking entry-level roles in data science
- Those uncomfortable with hands-on technical work
- Candidates lacking a collaborative mindset
Motivation fit
Desire to work on innovative data solutionsInterest in shaping future data products and analyticsMotivation to collaborate across teams to drive project success
Key skills
Advanced analyticsMachine learning techniquesData product developmentPython programmingCross-functional collaboration
Score: 84/100 AI verified analysis
About the job
Description
Why You Want This Position
At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team:
Join Enverus, a leading energy sector analytics company, as we expand our innovative data products that revolutionize courthouse document analysis. As a Senior Data Scientist, you will take a leadership role in enhancing our data science capabilities. You’ll collaborate with a dynamic team dedicated to building top-quality Courthouse Data solutions. At Enverus, you’ll find a culture that values your expertise and encourages your professional growth. If you’re a seasoned data professional who thrives on solving complex problems and shaping data science solutions, we want to hear from you.
Performance Objectives
- Utilize your Python expertise to parse complex datasets, manipulate intricate image data, and craft innovative data products that meet our customers’ evolving needs
- Enhance and improve our overall data extraction, including new model evaluation and continued development of existing pipelines
- Build data science-based data extraction/analysis tools and pipelines
- Champion and measure data quality, consistency, and data science-based approaches to problem solving
Competitive Candidate Profile
- Bachelor's or master's degree in computer science, data science, or a related field
- At least 5 years of experience as a Data Scientist
- Advanced proficiency in Python, SQL, Machine Learning, and Generative AI
- Ability to collaborate within a team environment and meet project deadlines
- Strong communication skills and fluency in English
Knowledge of AWS, Docker, MLflow, Databricks, NLP, Image Processing, MLOps
