• Diseñar y construir pipelines de datos que alimenten los flujos de entrenamiento e inferencia de ML. • Desarrollar, evaluar e iterar modelos de machine learning y estadísticos orientados a soluciones de negocio. • Gestionar el ciclo de vida completo del modelo: desarrollo, validación, despliegue y monitoreo. • Integrar herramientas de GenAI (LLMs, copilots, agentes) en el flujo de desarrollo diario para acelerar las entregas. • Desplegar modelos en entornos de producción garantizando confiabilidad, rendimiento y mantenimiento del sistema. • Colaborar con stakeholders para traducir problemas complejos de negocio en soluciones funcionales de ciencia de datos. • Documentar el trabajo con claridad suficiente para que pueda ser mantenido y extendido por el equipo.

Role Description Are you data-driven, technically minded, and eager to improve one of the biggest affordable solar programs in the United States? Then join our team as a Solar Data Intern! Your efforts will directly contribute to the launch of a high-profile program with state-wide impacts. In this part-time (15-20 hours/week, ideally between Monday and Thursday) role, you’ll: - Organize, clean, and validate essential datasets to ensure they map successfully from their former system into ours. - Identify trends, investigate discrepancies, and propose deliverables by cross-collaborating with various teams within Energy Solutions' largest program. - Share your progress with high-level staff, including Team Leads. This experience will grant you: - Real-world experience working on a multi-million-dollar solar program and with its clients. - Understanding of data quality and its impact. - Proficiency in checking data quality and accuracy. You will also gain or deepen: - Software know-how, especially Excel. - Insight into behind-the-scenes software development and databases. - Potential client-facing experience and presentation(s). Qualifications - Intermediate to advanced Microsoft Excel skills. - Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program. - Currently enrolled in or previously completed coursework in data, computer science, or an engineering-related field of study. - Strong research, technical writing, and analytical skills. Requirements - At least 4 work hours of your workday must overlap with the standard 9:00 AM to 5:00 PM workday in Pacific Standard Time (PST). - The ability to attend meetings between 9:00 AM and 5:00 PM PST on your workdays is preferred. - Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program. - A US Citizen or permanent resident. - Available to meet your weekly hours requirement between May and August for Summer and between September and November for Fall. - Motivated by the Energy Solutions’ mission to reduce carbon emissions with an equity lens. Benefits - Undergraduate student: $21/hr. - Graduate student: $24/hr. Application Process You may apply to up to 2 positions per cycle. To apply, please submit: - Your updated resume/CV. - 2 short essays that meet the criteria below: - Be original documents written by you. - Be between 250 and 500 words each. - Answer the following prompts: - Describe how you have overcome adversity and applied the lessons learned to your academic, professional, or personal life. - Describe how the Internship you apply for will enhance or help launch your career in an energy-related industry. - Your work sample must: - Be an original document written by you. - Be between 1 and 3 pages long, single or double spaced, not including sources. - Demonstrate your ability to communicate your thinking about an idea. Important Notes - Our Fall 2026 Internship opportunities close on June 26, 2026, at 5:00 PM PST. - We will not accept late applications or make exceptions regarding the criteria. - We reserve the right to close our applications before the deadline. - If you have questions, please reach out to internships@energy-solution.com .

Role Description We are seeking a highly motivated and experienced Senior Data Scientist to join our Data Platform team. In this role, you will contribute to the design, development, and deployment of machine learning models and advanced analytics solutions that power our products and drive meaningful business outcomes. You will work closely with our engineering and research teams, collaborating on innovative projects that leverage modern ML frameworks, robust data pipelines, and scalable cloud platforms. What You’ll Be Doing - The Day to Day - Design, develop, and validate machine learning models for a variety of prediction, classification, and optimization tasks. - Collaborate with data engineers, product teams, researchers, and clinical subject matter experts to source, clean, and transform large, complex datasets for modelling and analysis. - Conduct exploratory data analysis, feature engineering, model selection, and hyperparameter tuning using modern ML libraries. - Implement and evaluate statistical models, supervised/unsupervised algorithms, and time series forecasting methods. - Develop reproducible, well-documented code using Python and industry-standard ML frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow). - Communicate findings and insights to both technical and non-technical stakeholders through clear visualizations and presentations. - Translate business problems into machine learning solutions and contribute to model operationalization strategies. - Stay current with advancements in machine learning, AI, and data science practices. Qualifications - 5-7 years of professional experience developing machine learning and data science solutions in production environments. - Strong proficiency in Python, including core data science libraries: pandas, numpy, scikit-learn, matplotlib, polars, etc. - Experience with ML model development, evaluation, and deployment workflows. - Experience with MLOps tools and practices. - Hands-on experience with SQL and working with large-scale relational datasets. - Solid understanding of statistical modelling, data mining, and algorithm development. - Experience working in cross-functional teams and translating business needs into technical solutions. - Excellent communication, problem-solving, and analytical skills. Requirements - Experience deploying ML models using Azure Machine Learning or other cloud-native ML platforms. - Familiarity with Snowflake for data access, feature storage, or model deployment integration. Benefits - Competitive health plans (medical, dental, & vision insurance) - PTO (starting at 20 days) & 12 company holidays - 401(k) with company match - Telemedicine service provided by ESO - Savings accounts (FSA, HSA, DCA) - Employee Assistance Program (EAP) - Annual health and wellness reimbursement - Peace of mind benefits such as life insurance, disability insurance, and worksite benefits - Paid parental leave, new child program, & flexible parental return-to-work options - Casual office environments and unlimited office snacks and drinks

Role Description Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have never been more important. We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business. This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy—helping shape how Figma measures and communicates its performance as the company scales. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics. - Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership. - Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams. - Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data. - Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance. - Define, measure, and operationalize key financial and operational metrics. - Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability. - Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business. Qualifications - 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field. - Advanced SQL skills and strong proficiency in Python or a similar programming language. - Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders. - Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders. - Experience working independently and driving projects from ambiguity to execution. Requirements - Experience with SaaS, subscription-based, usage-based, or consumption-based business models. - Knowledge of accounting concepts and revenue recognition principles (ASC 606). - Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies. - Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones. - Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields. Benefits - Equity to employees. - Competitive package of additional benefits, including health, dental & vision. - Retirement with company contribution. - Parental leave & reproductive or family planning support. - Mental health & wellness benefits. - Generous PTO and company recharge days. - Learning & development stipend. - Work from home stipend and cell phone reimbursement. - Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process. Annual Base Salary Range: $140,000 — $348,000 USD Company Description At Figma, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product, and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.