Data Scientist

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

Data Scientist

Key Skills

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