Job Description:<h2> </h2><h2>Data Scientist I</h2><h2>Job Description</h2> At Nextpower, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and control software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services. As a company driving the clean energy transition, sustainability is not just a word. It's a core part of our business and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations. Make your mark with Nextpower. We are looking for a highly driven and technically strong Data Scientist I to join our India team. We are looking for someone who combines:<ul><li>Strong technical, analytical, and project management capability</li><li>Excellent coding and problem-solving skills</li><li>Operational project ownership mentality</li><li>Ability to manage ambiguity and execute independently</li><li>Strong communication and stakeholder management skills</li><li>Passion for renewable energy, analytics, and large-scale operational systems</li></ul> The ideal candidate will support critical operational analytics initiatives, customer-facing reporting programs, ad-hoc investigations, fleet analytics, and project coordination activities related to availability guarantee programs and remote monitoring systems. This role is ideal for someone who wants exposure to:<ul><li>Large-scale operational time-series analytics</li><li>Renewable energy analytics</li><li>Data engineering and cloud analytics platforms</li><li>Cross-functional technical program management</li><li>Customer-facing analytics and operational problem solving</li><li>Advanced monitoring systems and fleet intelligence</li></ul> We are looking for someone who demonstrates<ul><li>Ownership mentality and accountability</li><li>Analytical and structured thinking</li><li>Curiosity and passion for solving operational problems using data</li><li>Ability to manage multiple projects simultaneously</li><li>Strong communication and presentation capability</li><li>High attention to detail and engineering rigor</li><li>Ability to work independently in fast-paced environments</li><li>Collaborative mindset across global teams</li><li>Desire for continuous learning and improvement</li></ul>   Key Responsibilities Data Science &amp; Analytics<ul><li>Perform advanced analytics on large-scale operational time-series datasets from utility-scale solar plants</li><li>Conduct ad-hoc investigations related to fleet performance, tracker behavior, sensor anomalies, connectivity issues, weather events, and operational failures</li><li>Support development and validation of algorithms related to:<ul><li>Device availability</li><li>Device connectivity</li><li>Device faults</li><li>Sensor analytics</li><li>Predictive operational analytics</li></ul></li><li>Build Python-based analytics workflows, scripts, and automation pipelines</li><li>Work with cloud-scale analytics platforms such as Databricks and Azure-based environments</li><li>Develop data visualizations, dashboards, and operational insights using tools such as Power BI or equivalent platforms</li><li>Clean, validate, troubleshoot, and manage large operational datasets while ensuring high data quality standards</li><li>Analyze trends, anomalies, and operational signatures using statistical and engineering methodologies</li><li>Assist in creating customer-facing operational reports and internal executive dashboards</li><li>Support root cause investigations using data-driven methodologies</li></ul> Project Management &amp; Program Coordination<ul><li>Support execution and coordination of Availability Guarantee (AG) programs and operational analytics initiatives</li><li>Track project timelines, action items, deliverables, and stakeholder dependencies across multiple parallel initiatives</li><li>Coordinate with cross-functional teams including:<ul><li>Technical Services</li><li>Asset Management</li><li>Product Engineering</li><li>Software Engineering</li><li>Data Engineering</li><li>Field Operations</li><li>Sales &amp; Customer Success</li></ul></li><li>Support customer deliverables, reporting schedules, and operational follow-ups</li><li>Help manage Jira boards, sprint tracking, backlog organization, and analytics project prioritization</li><li>Prepare technical summaries, executive updates, and project status communications</li><li>Drive closure of operational issues and ensure action items are tracked to completion</li></ul> Reporting &amp; Operational Support<ul><li>Support generation and automation of operational reports for customers and internal stakeholders</li><li>Develop structured analysis summaries with clear technical storytelling</li><li>Create presentations and technical documentation for customer discussions and internal reviews</li><li>Assist with KPI definition, metric validation, and operational performance tracking</li><li>Help improve standardization, scalability, and automation of analytics workflows</li></ul>  Qualifications (required):<ul><li>Bachelor’s Degree in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Industrial Engineering, Information Systems, Business Analytics, or related quantitative disciplines</li><li>1–3 years of professional experience in: Data Science, Analytics, Data Engineering, Operational Analytics, Technical Program Management, or related fields</li><li>Strong proficiency in Python</li><li>Strong SQL, PySpark skills</li><li>Experience handling large-scale time-series datasets</li><li>Experience with data analysis libraries such as Pandas, NumPy, SciPy, Scikit-learn</li><li>Strong understanding of statistics and analytical methodologies</li><li>Experience building dashboards and visualizations</li><li>Strong problem-solving and debugging skills</li><li>Ability to independently manage tasks and priorities</li><li>Excellent written and verbal communication skills</li><li>Strong organizational and project coordination skills</li></ul> Additional qualifications (preferred):<ul><li>Master’s or Ph.D. degree is a plus</li><li>Renewable Energy background is a plus</li><li>Knowledge of and experience with scalable data science platforms, such as DataBricks on Azure</li><li>Knowledge of and experience with reporting packages, such as Power BI</li><li>Familiarity with performance engineering tools including PVsyst, PVLIB Python, NREL SAM, and other PV software, models, and tools</li><li>Solar industry specific experience regarding solar power plant operational performance, with understanding of system design, SCADA/DAS control and monitoring systems, remote communications, and common key performance indicators such as performance ratio, availability, production actual to budget, and related metrics</li><li>Foundational understanding of basic quantities and processes in solar performance including solar resource, sun position, irradiance, transposition models, analysis techniques, module technologies, inverter behaviors, and related topics</li></ul> What Will Make You Successful in This Role·        Ability to balance technical depth with execution speed·        Strong ownership and accountability·        Ability to handle ambiguous operational problems·        Strong stakeholder management capability·        Ability to communicate technical findings clearly to both technical and non-technical audiences·        Desire to grow into a future technical lead or program lead role Why Join Us You will work on some of the most advanced operational analytics problems in the renewable energy industry while collaborating with global engineering, analytics, and software teams. This role provides a unique opportunity to combine:·        Data science·        Engineering analytics·        Operational intelligence·        Technical project management·        Renewable energy innovation into one high-impact role with strong growth potential. Nextpower is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities.  Nextpower does not discriminate in employment opportunities or practices on the basis of: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status or any other status protected by law. Nextpower provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request in order to express interest in a position by e-mailing: accesibility@nextpower.com. Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within NX will be reviewed at the e-mail address. Thank you for considering a career with Nextpower.At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.<h1>We are Nextpower</h1>

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<div id="ember56" class="ember-view organization-about-module__content-consistant-cards-description">Since day one, Nextracker&rsquo;s mission has been to transition the world to affordable, renewable power, by developing the highest-performing and resilient solar tracking technologies and software in the market for our customers. From sustainable tracker solutions that conform to uneven terrain and withstand extreme weather, Nextracker systems have resilience built in. Nextracker leads the solar industry with solar tracker technologies that optimize and increase energy production while reducing costs for significant plant ROI.</div>
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Data Scientist

Job Description:<h2> </h2><h2>Data Scientist I</h2><h2>Job Description</h2> At Nextpower, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and control software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services. As a company driving the clean energy transition, sustainability is not just a word. It's a core part of our business and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations. Make your mark with Nextpower. We are looking for a highly driven and technically strong Data Scientist I to join our India team. We are looking for someone who combines:<ul><li>Strong technical, analytical, and project management capability</li><li>Excellent coding and problem-solving skills</li><li>Operational project ownership mentality</li><li>Ability to manage ambiguity and execute independently</li><li>Strong communication and stakeholder management skills</li><li>Passion for renewable energy, analytics, and large-scale operational systems</li></ul> The ideal candidate will support critical operational analytics initiatives, customer-facing reporting programs, ad-hoc investigations, fleet analytics, and project coordination activities related to availability guarantee programs and remote monitoring systems. This role is ideal for someone who wants exposure to:<ul><li>Large-scale operational time-series analytics</li><li>Renewable energy analytics</li><li>Data engineering and cloud analytics platforms</li><li>Cross-functional technical program management</li><li>Customer-facing analytics and operational problem solving</li><li>Advanced monitoring systems and fleet intelligence</li></ul> We are looking for someone who demonstrates<ul><li>Ownership mentality and accountability</li><li>Analytical and structured thinking</li><li>Curiosity and passion for solving operational problems using data</li><li>Ability to manage multiple projects simultaneously</li><li>Strong communication and presentation capability</li><li>High attention to detail and engineering rigor</li><li>Ability to work independently in fast-paced environments</li><li>Collaborative mindset across global teams</li><li>Desire for continuous learning and improvement</li></ul>   Key Responsibilities Data Science &amp; Analytics<ul><li>Perform advanced analytics on large-scale operational time-series datasets from utility-scale solar plants</li><li>Conduct ad-hoc investigations related to fleet performance, tracker behavior, sensor anomalies, connectivity issues, weather events, and operational failures</li><li>Support development and validation of algorithms related to:<ul><li>Device availability</li><li>Device connectivity</li><li>Device faults</li><li>Sensor analytics</li><li>Predictive operational analytics</li></ul></li><li>Build Python-based analytics workflows, scripts, and automation pipelines</li><li>Work with cloud-scale analytics platforms such as Databricks and Azure-based environments</li><li>Develop data visualizations, dashboards, and operational insights using tools such as Power BI or equivalent platforms</li><li>Clean, validate, troubleshoot, and manage large operational datasets while ensuring high data quality standards</li><li>Analyze trends, anomalies, and operational signatures using statistical and engineering methodologies</li><li>Assist in creating customer-facing operational reports and internal executive dashboards</li><li>Support root cause investigations using data-driven methodologies</li></ul> Project Management &amp; Program Coordination<ul><li>Support execution and coordination of Availability Guarantee (AG) programs and operational analytics initiatives</li><li>Track project timelines, action items, deliverables, and stakeholder dependencies across multiple parallel initiatives</li><li>Coordinate with cross-functional teams including:<ul><li>Technical Services</li><li>Asset Management</li><li>Product Engineering</li><li>Software Engineering</li><li>Data Engineering</li><li>Field Operations</li><li>Sales &amp; Customer Success</li></ul></li><li>Support customer deliverables, reporting schedules, and operational follow-ups</li><li>Help manage Jira boards, sprint tracking, backlog organization, and analytics project prioritization</li><li>Prepare technical summaries, executive updates, and project status communications</li><li>Drive closure of operational issues and ensure action items are tracked to completion</li></ul> Reporting &amp; Operational Support<ul><li>Support generation and automation of operational reports for customers and internal stakeholders</li><li>Develop structured analysis summaries with clear technical storytelling</li><li>Create presentations and technical documentation for customer discussions and internal reviews</li><li>Assist with KPI definition, metric validation, and operational performance tracking</li><li>Help improve standardization, scalability, and automation of analytics workflows</li></ul>  Qualifications (required):<ul><li>Bachelor’s Degree in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Industrial Engineering, Information Systems, Business Analytics, or related quantitative disciplines</li><li>1–3 years of professional experience in: Data Science, Analytics, Data Engineering, Operational Analytics, Technical Program Management, or related fields</li><li>Strong proficiency in Python</li><li>Strong SQL, PySpark skills</li><li>Experience handling large-scale time-series datasets</li><li>Experience with data analysis libraries such as Pandas, NumPy, SciPy, Scikit-learn</li><li>Strong understanding of statistics and analytical methodologies</li><li>Experience building dashboards and visualizations</li><li>Strong problem-solving and debugging skills</li><li>Ability to independently manage tasks and priorities</li><li>Excellent written and verbal communication skills</li><li>Strong organizational and project coordination skills</li></ul> Additional qualifications (preferred):<ul><li>Master’s or Ph.D. degree is a plus</li><li>Renewable Energy background is a plus</li><li>Knowledge of and experience with scalable data science platforms, such as DataBricks on Azure</li><li>Knowledge of and experience with reporting packages, such as Power BI</li><li>Familiarity with performance engineering tools including PVsyst, PVLIB Python, NREL SAM, and other PV software, models, and tools</li><li>Solar industry specific experience regarding solar power plant operational performance, with understanding of system design, SCADA/DAS control and monitoring systems, remote communications, and common key performance indicators such as performance ratio, availability, production actual to budget, and related metrics</li><li>Foundational understanding of basic quantities and processes in solar performance including solar resource, sun position, irradiance, transposition models, analysis techniques, module technologies, inverter behaviors, and related topics</li></ul> What Will Make You Successful in This Role·        Ability to balance technical depth with execution speed·        Strong ownership and accountability·        Ability to handle ambiguous operational problems·        Strong stakeholder management capability·        Ability to communicate technical findings clearly to both technical and non-technical audiences·        Desire to grow into a future technical lead or program lead role Why Join Us You will work on some of the most advanced operational analytics problems in the renewable energy industry while collaborating with global engineering, analytics, and software teams. This role provides a unique opportunity to combine:·        Data science·        Engineering analytics·        Operational intelligence·        Technical project management·        Renewable energy innovation into one high-impact role with strong growth potential. Nextpower is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities.  Nextpower does not discriminate in employment opportunities or practices on the basis of: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status or any other status protected by law. Nextpower provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request in order to express interest in a position by e-mailing: accesibility@nextpower.com. Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within NX will be reviewed at the e-mail address. Thank you for considering a career with Nextpower.At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.<h1>We are Nextpower</h1>

Data Scientist

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Nextracker Solar

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