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Data Scientist

ShyftLabs

Noida, Uttar Pradesh · 3+ years experience · Hybrid · Posted Sep 30, 2026

At a glance

Experience
3+ years experience
Workplace
Hybrid
Location
Noida, Uttar Pradesh

About the role

  • We're looking for a Data Scientist to help turn our data into actionable insights and intelligent products.
  • You'll work closely with engineering, product, and business teams to design experiments, build predictive models, and translate complex analysis into clear recommendations that drive decisions across the company.

Responsibilities

  • Design, build, and validate machine learning models to solve business problems such as forecasting, segmentation, and recommendation
  • Partner with product and engineering teams to translate business questions into well-scoped analytical problems
  • Conduct exploratory data analysis to uncover trends, patterns, and actionable insights in large datasets
  • Design and analyze A/B tests and other experiments to evaluate product and business decisions
  • Build and maintain data pipelines in collaboration with data engineering for reliable, reproducible analysis
  • Communicate findings clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations
  • Monitor deployed models for performance and drift, and iterate as needed
  • Contribute to best practices around experimentation, model evaluation, and data quality

Requirements

  • 3+ years of experience in a data science, applied ML, or quantitative analytics role
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
  • Solid grounding in statistics and experiment design, including A/B testing methodology
  • Experience building and evaluating machine learning models for real-world problems
  • Ability to communicate technical findings clearly to non-technical audiences
  • Experience working with large datasets and writing efficient, production-quality analysis code
  • Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau, or similar)

Benefits

  • Competitive salary and performance-based bonuses
  • Flexible working hours and remote/hybrid options
  • Health insurance and wellness benefits
  • Learning and development budget
  • A collaborative environment where your analysis directly shapes decisions

Workplace

  • Flexible working hours and remote/hybrid options

Skills

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SQL
  • Statistics & Experiment Design
  • Machine Learning Model Development
  • TensorFlow
  • PyTorch
  • AWS SageMaker
  • GCP Vertex AI
  • Azure ML
Show all 15 skills
  • Matplotlib
  • Seaborn
  • Tableau

ShyftLabs

Data Scientist

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