Solution Data Scientist
Aidash
Data scientist building ML models for wildfire risk & storm damage analytics
8 days ago ago
Intermediate (4-7 years), Experienced (8-12 years)
Full Time
Gurgaon, Haryana, India
Office Full-Time
Company Size
100 Employees
Service Specialisms
AI-driven infrastructure management
Asset monitoring
Predictive maintenance
Data analytics
Machine learning solutions
Sector Specialisms
Electric Utilities
Gas Utilities
Water and Wastewater
Energy
Mining
Transportation
Telecom
Oil & Gas
Role
What you would be doing
predictive analytics
feature engineering
data scraping
model development
dashboard reporting
a/b testing
- Work on predictive analytics for wildfire risk detection and storm damage assessment.
- Apply feature engineering to enhance accuracy and interpretability.
- Collaborate on A/B testing frameworks to validate hypotheses.
- Conduct data quality checks and implement validation procedures.
- Build and optimise data scraping pipelines to process large-scale unstructured data.
- Execute experiments, apply cross-validation, and benchmark model performance.
- Extract, clean, and analyse large datasets from multiple sources using SQL and Python/R.
- Perform statistical analysis and data mining to identify trends, patterns, and anomalies.
- Document methodologies and maintain clean, production-ready code repositories.
- Develop automated workflows for data preparation and transformation.
- Create interactive dashboards and automated reports for stakeholders.
- Develop predictive models and analytical tools that directly support CRIS decision-making.
- Build and validate ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas.
- Translate complex business requirements into data science solutions.
What you bring
python
sql
tensorflow
tableau
bachelor's
5 years
- 4-5 years of hands-on experience in data science, analytics, or quantitative research.
- Track record of delivering actionable insights that influenced business decisions.
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.
- Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow).
- Familiarity with data visualisation tools (matplotlib, seaborn, ggplot2 Tableau, or similar).
- Exposure to cloud platforms (AWS, GCP, Azure) is a plus.
- Proven experience with end-to-end model development (from data exploration to deployment).
- Strong analytical and problem-solving skills with attention to detail.
- Strong programming skills in Python for data analysis and machine learning.
- Proficiency in SQL and experience with relational databases.
- Knowledge of statistical methods (clustering, regression, classification) and experimental design.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
Company
Overview
- Revolutionizes industries with AI-powered satellite data solutions.
- Analyzing large-scale infrastructure and utilities using advanced satellite imagery.
- Collaborates with leading clients in energy, utilities, and transportation.
- Provides actionable insights with cutting-edge AI algorithms.
- Monitors power lines, manages transportation networks, and tracks infrastructure integrity.
- Transforms how industries manage assets, ensuring safety and reducing operational risks.
- No official culture or values wording found on public website or LinkedIn
5th in GreenTech
TIME's 2025 Ranking
Ranked 5th in the 'Data & Analytics' category in TIME's America's Top GreenTech Companies 2025 list, placing among the top 250 companies overall.
90% Carbon Savings
Carbon Offsets
Launched a carbon measurement & management tool (ISMS) enabling organizations to save up to 90% on carbon offsets.
10% Biodiversity Net Gain
Biodiversity Net Gain
ISMS supports achieving a 10% biodiversity net gain (BNG) across land and air, applicable to over 3,500 global sites.
$58.5M Series C
Funding Raised
Raised $58.5 million in Series C funding to scale sustainability and climate-resilience solutions in critical infrastructure industries.
- Participated in COP26 via unveiling of ISMS 'Land' and 'Air' modules to support biodiversity net gain standards and GHG measurement.
- Working with utilities (e.g., National Grid), energy, farming, mining to achieve carbon capture on corporate land and meet biodiversity goals.
- No DEI strategy or gender-related data found on public website or LinkedIn
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