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Data Scientist

Nextpower India Private Limited
NewPosted today

LOCATION

Hyderabad · Hybrid

EXPERIENCE

1 - 3 Years

TYPE

FullTime

SKILLS REQUIRED

PythonSQLPySparkTime Series AnalysisDatabricksAnomaly DetectionRoot Cause AnalysisPower BI

Job description

Overview

Data Scientist I role on Nextpower's India team, supporting operational analytics for utility-scale solar plants, customer-facing reporting, fleet analytics, and project coordination for availability guarantee programs and remote monitoring systems.

What you'll do

  • Perform advanced analytics on large-scale operational time-series datasets from utility-scale solar plants
  • Conduct ad-hoc investigations related to fleet performance, tracker behavior, sensor anomalies, connectivity issues, weather events, and operational failures
  • Support development and validation of algorithms for device availability, device connectivity, device faults, sensor analytics, and predictive operational analytics
  • Build Python-based analytics workflows, scripts, and automation pipelines
  • Work with cloud-scale analytics platforms such as Databricks and Azure-based environments
  • Develop data visualizations, dashboards, and operational insights using tools such as Power BI or equivalent platforms
  • Clean, validate, troubleshoot, and manage large operational datasets while ensuring high data quality standards
  • Analyze trends, anomalies, and operational signatures using statistical and engineering methodologies
  • Assist in creating customer-facing operational reports and internal executive dashboards
  • Support root cause investigations using data-driven methodologies
  • Support execution and coordination of Availability Guarantee (AG) programs and operational analytics initiatives
  • Track project timelines, action items, deliverables, and stakeholder dependencies across multiple parallel initiatives
  • Coordinate with Technical Services, Asset Management, Product Engineering, Software Engineering, Data Engineering, Field Operations, and Sales & Customer Success teams
  • Support customer deliverables, reporting schedules, and operational follow-ups
  • Help manage Jira boards, sprint tracking, backlog organization, and analytics project prioritization
  • Prepare technical summaries, executive updates, and project status communications
  • Drive closure of operational issues and ensure action items are tracked to completion
  • Support generation and automation of operational reports for customers and internal stakeholders
  • Develop structured analysis summaries with clear technical storytelling
  • Create presentations and technical documentation for customer discussions and internal reviews
  • Assist with KPI definition, metric validation, and operational performance tracking
  • Help improve standardization, scalability, and automation of analytics workflows

What you'll need

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Industrial Engineering, Information Systems, Business Analytics, or related quantitative disciplines
  • 1–3 years of professional experience in Data Science, Analytics, Data Engineering, Operational Analytics, Technical Program Management, or related fields
  • Strong proficiency in Python
  • Strong SQL and PySpark skills
  • Experience handling large-scale time-series datasets
  • Experience with data analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn
  • Strong understanding of statistics and analytical methodologies
  • Experience building dashboards and visualizations
  • Strong problem-solving and debugging skills
  • Ability to independently manage tasks and priorities
  • Excellent written and verbal communication skills
  • Strong organizational and project coordination skills

Nice to have

  • Master's or Ph.D. degree
  • Renewable energy background
  • Knowledge of and experience with scalable data science platforms, such as Databricks on Azure
  • Knowledge of and experience with reporting packages, such as Power BI
  • Familiarity with performance engineering tools including PVsyst, PVLIB Python, NREL SAM, and other PV software, models, and tools
  • Solar industry experience regarding solar power plant operational performance, with understanding of system design, SCADA/DAS control and monitoring systems, remote communications, and key performance indicators such as performance ratio, availability, and production actual to budget
  • Foundational understanding of solar performance including solar resource, sun position, irradiance, transposition models, analysis techniques, module technologies, and inverter behaviors

Details

  • Location: Hyderabad, Telangana, India

Read the full description and apply on the company’s own careers page.

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Data Scientist