Data Scientist at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

2000000.0

Posted On

26 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, Pandas, NLP, Machine Learning, SQL, AWS, Statistics, Experimentation

Industry

technology;Information and Internet

Description

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. 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 & ExperienceMust-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

Responsibilities

The Data Scientist will lead the end-to-end data science lifecycle, focusing on building scalable machine learning solutions. Responsibilities include developing models for various use cases and collaborating with cross-functional teams to drive business outcomes.