Job DescriptionDo you want to take ownership of developing high-quality data, tools, and services that empower customers to manage solar power systems across the globe? Are you ready to mentor our dynamic data science team, in tackling complex technical challenges? Do you have the vision to inspire innovation and drive continuous improvement? Join us as a Lead Data Scientist and be part of a team that is setting the standards in the renewable energy sector. Apply today!
This
Lead Data Scientist - Solar Energy role is key in expanding existing data science capabilities in the energy assessment and analytics space. You will take the lead in the development, deployment, and validation of new models and product features that will empower customers to make informed decisions through robust tools and data. Working closely with the Head of Data Science, you will help define and execute strategic data science goals and empower team members in your region to achieve their goals.
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 to achieve product development goals. This role is a key piece in fostering collaboration across the global data science team and supporting team members within your time zone.
This role will report to our DNV office in Austin, TX.What You'll Do - Lead the development, validation, and management of models to support products focused on renewable energy, ensuring alignment with the company's long-term goals
- Implement models programmatically leveraging scientific computing to build robust and scalable solutions
- Drive continuous improvement of data science processes and methodologies
- Take ownership of strategic initiatives in collaboration with the Head of Data Science, guiding the team through complex challenges and ensuring successful execution across projects
- Oversee the delivery of data science projects, managing timelines and quality while coordinating with team members to ensure successful outcomes
- Mentor and guide the data science team, providing technical leadership, ensuring high-quality project delivery, and fostering innovation
- Communicate results and outcomes to technical and non-technical stakeholders, acting as the primary liaison between the data science team and leadership, and coordinating cross-functional collaboration with product and software teams
- Ensure documentation of data science projects, contributing to technical publications, and representing the team at conferences while identifying and evaluating third-party data or services that could enhance product offerings
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
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*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.
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QualificationsWhat Is required- Bachelor's degree or higher with 8+ years of experience
- Strong renewable energy domain knowledge: solar radiation, photovoltaics, meteorology, forecasting
- Strong 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
Personal Qualities- As a person, you have Strategic Vision: You define and execute long-term goals, aligning data science initiatives with business objectives
- Innovative Leadership: You drive continuous improvement and inspire innovation across processes and products
- Proactive Approach: You identify and act on opportunities to enhance products and processes
- Strong Analytical Expertise: You tackle complex development challenges with deep analytical skills
- Resilience & Adaptability: You achieve goals despite obstacles, keeping focus on long-term strategy
- Mentoring Skills: You guide and mentor team members, fostering growth and ensuring successful execution
- Effective Communication: You influence stakeholders and align teams toward shared objectives
- Culture-Building Mindset: You shape a positive, collaborative, and high-performance team environment
- Cross-functional Collaboration Skills: You work seamlessly with other teams to influence product direction
*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.
