Enverus is the leading energy SaaS company delivering highly-technical insights and predictive/prescriptive analytics
The Role
The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.
Summary Generated by Built In
Description
Principal Data Scientist
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.
We are currently seeking a Principal Data Scientist for Enverus Power and Renewables , who will create measurable customer value. You will partner closely with Product Management and Engineering to define and execute short- and long-term data roadmaps, applying advanced statistical, machine learning, and data engineering techniqu es across multiple product areas.
Performance Objectives
1. Strategic Data Analysis: Lead strategic data analysis initiatives, leveraging advanced statistical techniques, predictive modeling, and machine learning algorithms to uncover valuable insights. Analyze complex data sets to identify patterns, trends, and correlations that inform product strategy, optimization, and innovation.
2. Product Strategy Alignment: Collaborate closely with product managers, executives, and stakeholders to align data analysis efforts with the overall product strategy. Provide strategic guidance and insights to drive product roadmap prioritization, feature development, and market positioning.
3. Business Impact Assessment: Assess the impact of product initiatives on key performance metrics, customer satisfaction, and business outcomes. Conduct rigorous analysis to measure the effectiveness of product changes, identify causal relationships, and provide recommendations for continuous improvement.
4. Data Governance and Infrastructure: Oversee data governance processes, ensuring data integrity, security, and compliance. Collaborate with data engineering and IT teams to optimize data collection, storage, and retrieval processes. Drive improvements in data infrastructure and data management practices.
5. Thought Leadership and Innovation: Stay at the forefront of data analysis methodologies, tools, and industry trends. Champion innovative approaches to data analysis, experiment design, and modeling techniques. Act as a thought leader in the field of data analytics, influencing the organization's data-driven culture.
6. Stakeholder Collaboration: Collaborate closely with cross-functional teams, including product managers, engineers, data scientists, and executives, to provide insights and recommendations. Influence decision-making processes by effectively communicating complex data insights and demonstrating the value of data-driven strategies.
7. Team Leadership and Mentorship: Provide leadership and mentorship to the data analytics team. Foster a culture of continuous learning, collaboration, and growth. Guide and mentor junior analysts, helping them develop their analytical skills and business acumen.
Competitive Candidate Profile
Required experience
Enverus offers comprehensive benefits to our employees to include:
This role is eligible for: Variable Compensation
Salary Range: 170000-200000
Principal Data Scientist
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.
We are currently seeking a Principal Data Scientist for Enverus Power and Renewables , who will create measurable customer value. You will partner closely with Product Management and Engineering to define and execute short- and long-term data roadmaps, applying advanced statistical, machine learning, and data engineering techniqu es across multiple product areas.
Performance Objectives
1. Strategic Data Analysis: Lead strategic data analysis initiatives, leveraging advanced statistical techniques, predictive modeling, and machine learning algorithms to uncover valuable insights. Analyze complex data sets to identify patterns, trends, and correlations that inform product strategy, optimization, and innovation.
2. Product Strategy Alignment: Collaborate closely with product managers, executives, and stakeholders to align data analysis efforts with the overall product strategy. Provide strategic guidance and insights to drive product roadmap prioritization, feature development, and market positioning.
3. Business Impact Assessment: Assess the impact of product initiatives on key performance metrics, customer satisfaction, and business outcomes. Conduct rigorous analysis to measure the effectiveness of product changes, identify causal relationships, and provide recommendations for continuous improvement.
4. Data Governance and Infrastructure: Oversee data governance processes, ensuring data integrity, security, and compliance. Collaborate with data engineering and IT teams to optimize data collection, storage, and retrieval processes. Drive improvements in data infrastructure and data management practices.
5. Thought Leadership and Innovation: Stay at the forefront of data analysis methodologies, tools, and industry trends. Champion innovative approaches to data analysis, experiment design, and modeling techniques. Act as a thought leader in the field of data analytics, influencing the organization's data-driven culture.
6. Stakeholder Collaboration: Collaborate closely with cross-functional teams, including product managers, engineers, data scientists, and executives, to provide insights and recommendations. Influence decision-making processes by effectively communicating complex data insights and demonstrating the value of data-driven strategies.
7. Team Leadership and Mentorship: Provide leadership and mentorship to the data analytics team. Foster a culture of continuous learning, collaboration, and growth. Guide and mentor junior analysts, helping them develop their analytical skills and business acumen.
Competitive Candidate Profile
- Advanced Data Science : Expertise in advanced data analysis techniques, including statistical modeling, predictive analytics, and machine learning. Proficiency in programming languages such as Python, and strong SQL skills for data extraction and manipulation.
- Leadership and Influencing Skills: Strong leadership and influencing skills to effectively collaborate with cross-functional teams, influence decision-making processes, and drive organizational change.
- Ability to inspire and mentor a team of data analysts.
- Technical Expertise: Extensive experience in data manipulation, data querying, and database management. Familiarity with data warehousing concepts and data integration processes. Stay updated with emerging technologies and tools in the field of data analytics.
- Critical Thinking and Problem-solving: Strong critical thinking and problem-solving abilities to tackle complex business challenges, formulate data questions, and derive actionable insights from data analysis.
- Ability to identify key business opportunities and make data-driven recommendations.
- Strategic Vision and Innovation: Demonstrated ability to think strategically and envision the future of data analytics in the organization.
- Proactively seek innovative approaches to data analysis, experiment design, and modeling techniques.
- Collaboration and Relationship Building: Excellent collaboration and relationship-building skills to establish strong partnerships with product managers, executives, and stakeholders. Work effectively in a team-oriented, dynamic environment.
- Data Governance and Compliance: In-depth knowledge of data governance best practices, data security, and regulatory compliance. Ability to ensure data integrity, privacy, and compliance with relevant data protection regulations.
Required experience
- Bachelor's degree from a three or four-year college or university
- 4-6 years of relevant work experience
Enverus offers comprehensive benefits to our employees to include:
- Medical
- Dental
- Vision
- Income Protection (disability, life/AD&D, critical illness, accident)
- Employee Assistance Program (EAP)
- Healthcare Spending Account (HSA), Commuter
- Lifestyle & Wellbeing Program
- Pet Insurance
This role is eligible for: Variable Compensation
Salary Range: 170000-200000
Skills Required
- Bachelor's degree from a three or four-year college or university
- 4-6 years of relevant work experience
- Expertise in advanced data analysis techniques, including statistical modeling, predictive analytics, and machine learning
- Proficiency in programming languages such as Python and strong SQL skills for data extraction and manipulation
What the Team is Saying
Michael
Sr. Account Director
Melwyn
Director of Product
Enverus Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision alongside mental‑health support. Employee‑only premiums are described as low in some cases, with additional protections like life and disability insurance.
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Leave & Time Off Breadth — Time‑off options include unlimited PTO for many roles, paid volunteer time, and gender‑inclusive parental leave. These avenues support rest, family care, and community engagement.
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Flexible Benefits — Work arrangements commonly include hybrid/remote options and flexible hours. This flexibility supports work‑life balance across a range of roles and locations.
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The Company
What We Do
Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries. Enverus is a portfolio company of Hellman & Friedman and Genstar Capital.
Why Work With Us
We are guided by our Core Values: One Team, Partners for Life, Courageous Innovation. Our goal is to foster a culture that’s inclusive, fun and encourages our teammates to grow, personally and professionally. At Enverus, we are a family, and our people will always be our most important asset.
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Enverus Offices
Remote Workspace
Employees work remotely.
Typical time on-site:
None
