Data Scientist

Year    MH, IN, India

Job Description

We're looking for a

Data Scientist

to join our growing data team. The role involves working with large datasets, building predictive models, and generating insights to improve performance in the engineering and construction industry.

Role and Responsibility:



Analyze large datasets and uncover actionable insights Build

ML/AI

models for predictions, classifications & clustering Collaborate with engineering and domain teams to solve data-driven problems Clean, transform & validate data using Python & SQL Create dashboards and visualizations (Power BI, Tableau, Plotly) Automate workflows and document processes for reproducibility

Requsrment and Qualification:



2-4 years

of hands-on experience in Data Science Proficiency in

Python, SQL

, and libraries like

PyTorch

,

scikit-learn, TensorFlow

Strong grasp of statistics, ML techniques, and data modeling Experience with data visualization tools (Power BI, Tableau, Matplotlib) Familiarity with AEC industry tools (Revit, BIM 360, Navisworks) - a plus Excellent communication and problem-solving skills

BE/BTech/MTech

in Computer Science, Data Science, Engineering, Statistics, or related field.
Job Types: Full-time, Permanent

Pay: ?400,000.00 - ?700,000.00 per year

Benefits:

Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund
Ability to commute/relocate:

Andheri, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):

How many years of experience do you have as Date Scientist? What is your current CTC? What is your expected CTC? What is your official notice period ?
Education:

Bachelor's (Required)
Work Location: In person

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Job Detail

  • Job Id
    JD4064723
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    MH, IN, India
  • Education
    Not mentioned
  • Experience
    Year