Weekday AI (YC W21)
Data Scientist
Weekday AI (YC W21)India4 days ago
Full-timeOther
This role is for one of the Weekday's clients

Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)

Min Experience: 4 years

Location: Bangalore

JobType: full-time

We are looking for a Data Scientist to lead the end-to-end data science lifecycle—from problem definition and hypothesis development to model deployment planning and performance evaluation. This role focuses on building scalable, production-ready machine learning solutions that drive insights across content, audience, growth, and revenue use cases.

You will work closely with product, editorial, growth, sales, and engineering teams to identify high-impact opportunities and translate complex data into actionable business outcomes.

Requirements

Key Responsibilities

  • Own the complete data science workflow including problem framing, feature engineering, model development, validation, and deployment planning
  • Develop and operationalize machine learning models for forecasting, personalization, churn prediction, attribution, ranking, and content intelligence
  • Build content and audience intelligence using NLP techniques such as embeddings, semantic similarity, topic and entity modeling, summarization, and relevance scoring
  • Design sales and advertising analytics solutions including demand forecasting, pricing optimization, uplift modeling, and campaign effectiveness measurement
  • Perform advanced statistical analysis including causal inference, A/B testing, experiment design, incrementality, and uplift measurement
  • Partner with data engineering teams to develop scalable data pipelines and model training workflows
  • Define and maintain unified KPIs and measurement frameworks to evaluate content performance and audience behavior across platforms
  • Monitor model performance, detect drift, ensure robustness, fairness, and governance of deployed models
  • Deliver executive-ready insights through dashboards, automated reports, and clear data storytelling
  • Collaborate with cross-functional teams to prioritize initiatives with the highest business impact
  • Contribute to code and design reviews, mentor peers, and raise analytical standards across the organization

Required Skills & Experience

Must-Have

  • 4-7 years of applied data science experience delivering measurable business impact
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) and SQL
  • Hands-on experience building and validating ML models including regression, classification, forecasting, clustering, recommendation systems, uplift models, and NLP-based solutions
  • Solid foundation in statistics, probability, hypothesis testing, experimental design, and causal inference
  • Experience working with large-scale datasets and cloud platforms such as AWS, Azure, or GCP
  • Familiarity with BI and visualization tools like Tableau, Power BI, or Plotly
  • Strong analytical thinking, communication, and data storytelling skills

Good-to-Have

  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Exposure to big data technologies like Spark, Hadoop, or Databricks
  • Familiarity with MLOps practices, model monitoring, and production ML workflows

Education

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Key Skills

Data Science

  • Python
  • Pandas
  • NLP
  • Machine Learning
  • SQL
  • AWS
  • Statistics
  • Experimentation

Key Skills

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