WSP

3 weeks ago

Data Scientist- Air Quality

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build and deploy predictive and statistical machine learning models for environmental and air-quality use cases, turning complex analyses into actionable insights. Design scalable data orchestration pipelines and work with large-scale data technologies to support robust data infrastructure and reliable decision-making. Collaborate with cross-functional technical and non-technical stakeholders, contributing to model productionization, visualization, APIs, and cloud-informed architecture, including Azure.

Location: Noida, Bengaluru, Mumbai

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build, validate, and deploy predictive and statistical ML models using Python-based libraries like scikit-learn, TensorFlow, and PyTorch.
•Conduct exploratory data analysis, statistical modeling, hypothesis testing, and generate insights to support strategic decisions.
•Develop scalable data orchestration pipelines using Airflow or Dagster and process large-scale datasets with Spark, Hadoop, or Dask.
•Design data models (e.g., star schema) and support relational database schema design, indexing, and access management.
•Create production-ready outputs including interpretable visualizations, APIs (FastAPI/Flask), and work on system architecture with cloud platforms such as Azure.

Key Requirements

•Bachelor’s or master’s degree in a quantitative field (e.g., Mathematics, Computer Science, Engineering, Economics, Data Science) or equivalent industry experience.
•Evidence of continued professional development in data science, data engineering, or cloud technologies.
•Demonstrable experience developing and evaluating machine learning models.
•Proficiency with relational database design and data modeling.
•Experience designing and maintaining data pipelines and big-data processing workflows.

Education:Bachelor's in quantitative field (e.g., Mathematics, Computer Science, Engineering, Economics, Data Science)

Skills:Problem-solvingCommunicationCollaborationDocumentationMentoring

Tech Stack:PythonScikit-learnTensorFlowPyTorchMatplotlibSeabornAirflowDagsterSparkHadoopDaskSnowflakeSQLAlchemyFastAPIFlaskCI/CDDockerKubernetesTerraformAnsible

Company Brief

WSP

Global professional services firm providing engineering, consulting, and technical services across infrastructure, environment, buildings, transportation, and energy sectors for public- and private-sector clients worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Montreal, Canada

Founded: 1959

Website LinkedIn

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WSP