Job DescriptionReady to contribute to developing high-quality data, tools, and services that empower customers to manage solar power systems globally? Are you excited to leverage data science to solve complex challenges and drive innovation in the renewable energy sector? Join a forward-thinking team that's pushing the boundaries of what's possible in the solar industry. Apply today!
This
Senior Data Scientist - Solar Energy role is key in expanding existing data science capabilities in the energy assessment and analytics space. You will develop, deploy, and validate new data, models and product features that will empower customers to make informed decisions through robust tools and data. Collaborate with fellow data scientists to drive best practices and innovation, and outside the data science team to share and celebrate results.
You will be part of a group developing renewable energy digital products that will facilitate the energy transition. This entails working as part of a global team of fellow data scientists but also coming together to collaborate with members of software engineering and product teams and involves opportunities to work across a range of renewable energy focused products.
This role will report to our DNV office in Austin, TX.What You'll Do - Develop, validate, and manage models to support energy assessment and analytics products, ensuring high-quality and scalable solutions
- Implement models programmatically leveraging scientific computing to build robust and scalable solutions
- Contribute to the continuous improvement of data science processes and methodologies, best practices, and technical approaches
- Provide technical input and drive execution of strategic goals to support the Head of Data Science in strategic planning
- Support the development of more junior and less experienced team members
- Collaborate with product and software development team to integrate data science models into product offerings, ensuring technical accuracy
- Communicate results and outcomes to technical and non-technical stakeholders and contribute to technical publications (white papers, blog posts, conferences)
- Create and maintain documentation of data science projects
- Identify and validate potential third-party data or services that could be leveraged
Responsibilities- Generous paid time off (vacation, sick days, company holidays, personal days)
- Multiple Medical and Dental benefit plans to choose from, Vision benefits
- Spending accounts - FSA, Dependent Care, Commuter Benefits, company-seeded HSA
- Employer-paid, therapist-led, virtual care services through Talkspace
- 401(k) with company match
- Company provided life insurance, short-term, and long-term disability benefits
- Education reimbursement program
- Flexible work schedule with hybrid opportunities
- Charitable Matched Giving and Volunteer Rewards through our Impact Program
- Volunteer time off (VTO) paid by the company
- Career advancement opportunities
**Benefits vary based on position, tenure, location, and employee election**DNV is a proud equal-opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with disabilities. US applicants with a physical or mental disability who require reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially.
For more information
https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal
QualificationsWhat Is required- Bachelor's degree or higher with 5+ years of experience
- Solar energy domain knowledge: solar radiation, photovoltaics, meteorology
- Good competency with python scientific computing: numpy, pandas, jupyter
- Familiarity with software development tools: git, bash, CI/CD, unit tests
- Strong written and verbal English communication skills
- We conduct pre-employment drug and background screening
What Is Preferred- Good experience with model development, deployment and validation: ML, statistical, empirical, and physical
- Experience deploying containerized applications using Docker
- Behavioral Skills and Personal Traits
Personal Qualities- Collaborative team player with the ability to work seamlessly with stakeholders
- Proactive in suggesting product and process improvements
- Curious, adaptable, and analytical with a problem-solving mindset
- Results-oriented and resilient to achieving outcomes despite obstacles or setbacks
- Able to manage own workload, demonstrating autonomy and initiative in achieving goals
- Fast learner who embraces new technologies and processes
- Effective communicator, translating technical findings into actionable insights for non-technical stakeholders
*Immigration-related employment benefits, for example visa sponsorship, are not available for this position*About UsAbout Energy SystemsWe help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
