Gurugram, Haryana, India
Space Exploration & Research, Information Technology
Full-Time
SourcingXPress
Overview
Company: Stackave
Website: Visit Website
Business Type: Startup
Company Type: Product & Service
Business Model: B2B
Funding Stage: Bootstrapped
Industry: Staffing
Salary Range: ₹ 20-25 Lacs PA
Job Description
About the Role:
We are seeking an experienced and business-savvy Data Scientist to join our team supporting Meta. You will solve complex problems using advanced analytics, statistical modelling, and machine learning to drive measurable impact.
Shift: PST Shift (Night shift – includes shift allowance, transport, and food)
Key Responsibilities
Website: Visit Website
Business Type: Startup
Company Type: Product & Service
Business Model: B2B
Funding Stage: Bootstrapped
Industry: Staffing
Salary Range: ₹ 20-25 Lacs PA
Job Description
About the Role:
We are seeking an experienced and business-savvy Data Scientist to join our team supporting Meta. You will solve complex problems using advanced analytics, statistical modelling, and machine learning to drive measurable impact.
Shift: PST Shift (Night shift – includes shift allowance, transport, and food)
Key Responsibilities
- Develop and deploy machine learning models to solve real-world business challenges
- Perform exploratory data analysis and generate actionable insights
- Work on classification, regression, clustering, recommendation, and forecasting models
- Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders
- Collaborate with cross-functional teams including data engineers, business analysts, and product owners
- 4–9 years of hands-on experience in data science
- Expertise in Python/R and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
- Proficiency in SQL and data wrangling
- Strong statistical grounding and experience with A/B testing, hypothesis testing
- Cloud platform experience (GCP preferred; AWS/Azure acceptable)
- Excellent communication, storytelling, and stakeholder engagement skills
- Consulting background or experience working with global clients is highly valued
- Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)
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