Data Scientist

0 years

0 Lacs

Posted:16 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Scientist - Remote(India)


About Aurexis

AI-native Operating System for construction companies

We are a fast-growing startup already supporting projects worth over $450M. Join us in transforming one of the world’s largest, most critical industries.

Role Overview

Data Scientist (Remote – India)


Responsibilities

  • Analyze and model 

    construction schedules, procurement logs, financials, and site data

     to identify patterns and predict outcomes.
  • Develop 

    forecasting and risk-scoring models

     for delays, cost overruns, and hazards.
  • Build and maintain 

    data pipelines and dashboards

     that power AI-driven project insights.
  • Collaborate with AI engineers to integrate ML/NLP models into Aurexis’ platform.
  • Partner with product and domain experts to design metrics that matter to contractors.
  • Ensure data quality, consistency, and scalability across structured and unstructured sources.

Qualifications

  • Strong background in 

    statistics, data modeling, and machine learning

    .
  • Proficiency in 

    Python, SQL, and data science libraries

     (Pandas, NumPy, Scikit-learn).
  • Experience with 

    time-series analysis, forecasting, or risk modeling

    .
  • Familiarity with 

    unstructured data

     (documents, images, CAD files, logs) is a plus.
  • Knowledge of 

    cloud data platforms

     (AWS, GCP, or Azure).
  • Bonus: experience in 

    construction tech, industrial data, or digital twins

    .
  • Strong communication skills to translate data into actionable insights for non-technical users.


What We Offer

  • Fully 

    remote position in India

     with flexible working hours.
  • Chance to shape the data backbone of an industry-defining platform.
  • Work directly with founders, engineers, and real construction partners.
  • Equity + competitive compensation.
  • A fast-paced, impact-driven environment where your work will touch billion-dollar projects.

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