Senior Data Scientist

AiDash; Gurugram District; On-site; INR 15,00,000 - 20,00,000; Full time

Job summary

A climate tech startup is seeking a Data Scientist to analyze large datasets and develop predictive models. The ideal candidate will have 4–5 years of experience in data science, strong Python and SQL skills, and a Bachelor's degree in a related field. This role offers the opportunity to work on impactful projects that contribute to climate resilience and sustainability.

Qualifications

• 4–5 years of hands-on experience in data science, analytics, or quantitative research.
• Strong programming skills in Python for data analysis and machine learning.
• Proficiency in SQL and experience with relational databases.
• Knowledge of statistical methods and experimental design.

Responsibilities

• Extract, clean, and analyze large datasets from multiple sources.
• Build and optimize data scraping pipelines.
• Develop automated workflows for data preparation and transformation.
• Create interactive dashboards and automated reports for stakeholders.

Skills

Data science

Analytics

Problem-solving

Statistical analysis

Machine learning

Python

SQL

Data visualization

Cloud platforms

Data preparation

Education

Bachelor’s degree in Data Science or related field

Tools

TensorFlow

Keras

Pandas

scikit-learn

NumPy

Tableau

Job description

About AiDASH

AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance — and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty. Learn more at www.aidash.com.

We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024.” Deloitte Technology Fast 500 recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.

Join us in Securing Tomorrow!

How you'll make an impact

• Extract, clean, and analyze large datasets from multiple sources using SQL and Python/R.
• Build and optimize data scraping pipelines to process large-scale unstructured data.
• Perform statistical analysis and data mining to identify trends, patterns, and anomalies.
• Develop automated workflows for data preparation and transformation.
• Conduct data quality checks and implement validation procedures.
• Build and validate ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas.
• Apply feature engineering to enhance accuracy and interpretability.
• Execute experiments, apply cross-validation, and benchmark model performance.
• Collaborate on A/B testing frameworks to validate hypotheses.
• Work on predictive analytics for wildfire risk detection and storm damage assessment.
• Translate complex business requirements into data science solutions.
• Develop predictive models and analytical tools that directly support CRIS decision-making.
• Create interactive dashboards and automated reports for stakeholders.
• Document methodologies and maintain clean, production-ready code repositories.

What we're looking for

• 4–5 years of hands-on experience in data science, analytics, or quantitative research.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.
• Strong programming skills in Python for data analysis and machine learning.
• Proficiency in SQL and experience with relational databases.
• Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow).
• Knowledge of statistical methods (clustering, regression, classification) and experimental design.
• Familiarity with data visualization 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).
• Track record of delivering actionable insights that influenced business decisions.
• Strong analytical and problem-solving skills with attention to detail.

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.