Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Data Scientist
Bengaluru, Karnataka, India
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
On-site โ work setting source
Work setup in the employerโs posting: On-site
From the employerโs posting- Employment
Full-time โ employment source
Employment type in the employerโs posting: Full-time
From the employerโs posting
What youโll work on
Full postingDesign and validate price elasticity models using econometric and machine learning methods
Extract and clean large volumes of sales, pricing and consumer data
Run hypothesis tests and causal analysis on pricing experiments and promotions
Deploy predictive models into production pipelines for real-time pricing
Build dashboards that explain model insights to stakeholders
From the employerโs posting
Design, implement, and validate nonlinear and parametric price elasticity models using econometric and machine learning methods.
Extract, clean, and preprocess large volumes of sales, pricing, and consumer data from multiple sources.
Conduct hypothesis testing, causal inference, and scenario analysis to evaluate pricing experiments and promotional campaigns.
Deploy predictive models into production pipelines, ensuring scalability and robustness for real-time pricing decisions.
Create interactive dashboards and visualizations to communicate model insights to stakeholders.
What youโll bring
All qualificationsCore experience
- 8+ years of experience in data science with a strong focus on pricing and demand modeling.
- Proficiency in statistical programming languages such as Python, R, or Julia, and familiarity with SQL and data warehousing concepts.
- Deep knowledge of econometric techniques (e.g., logit, probit, BLP) and machine learning models (e.g., random forest, XGBoost) applied to price elasticity.
- Demonstrated ability to build end-to-end analytical solutions from data ingestion to model deployment.
- Excellent communication skills for presenting technical findings to non-technical audiences.
- Experience working in a dynamic, cross-functional team environment.
Qualification wording
8+ years of experience in data science with a strong focus on pricing and demand modeling.
Proficiency in statistical programming languages such as Python, R, or Julia, and familiarity with SQL and data warehousing concepts.
Deep knowledge of econometric techniques (e.g., logit, probit, BLP) and machine learning models (e.g., random forest, XGBoost) applied to price elasticity.
Demonstrated ability to build end-to-end analytical solutions from data ingestion to model deployment.
Excellent communication skills for presenting technical findings to non-technical audiences.
Experience working in a dynamic, cross-functional team environment.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employerโs website to confirm it is still accepting applications.
How this job compares
Weekday AI is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and weโll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Julia
- Python
- R
- SQL
- AWS
- Azure
- dbt
- GCP
- Airflow
- XGBoost
Where the posting names them
โข 8+ years of experience in data science with a strong focus on pricing and demand modeling. โข Proficiency in statistical programming languages such as Python, R, or Julia, and familiarity with SQL and data warehousing concepts. โข Deep knowledge of econometric techniques (e.g., logit, probit, BLP) and machine learning models (e.g., random forest, XGBoost) applied to price elasticity.
โข Experience working in a dynamic, cross-functional team environment. โข Familiarity with cloud platforms (AWS, GCP, Azure) and data pipeline tools (Airflow, dbt). โข Ability to navigate ambiguous problems, iterate rapidly, and deliver high-impact solutions.
โข Proficiency in statistical programming languages such as Python, R, or Julia, and familiarity with SQL and data warehousing concepts. โข Deep knowledge of econometric techniques (e.g., logit, probit, BLP) and machine learning models (e.g., random forest, XGBoost) applied to price elasticity. โข Demonstrated ability to build end-to-end analytical solutions from data ingestion to model deployment.
Your next step
Complete your application on apply.workable.com. The employerโs form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Has Weekday AI posted this job before?
Yes. Weโve followed 7 other Data Scientist jobs there since August 2026. 4 came down, usually after about 5 days. 3 are still up.
If this one keeps the same pace, it may come down around November 8.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฏ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฐ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฏ๐ฌ-๐ฐ๐ฑ ๐๐ฃ๐)
Experience: 8+ yrs
Location: Bangalore
As a Data Scientist, you will lead the development of sophisticated price elasticity models that drive strategic pricing decisions across diverse product lines. Leveraging advanced econometric techniques and machine learning algorithms, you will analyze large-scale transactional data, consumer behavior patterns, and market dynamics to quantify price sensitivities and forecast demand shifts. Your insights will directly influence pricing strategies, promotional planning, and revenue optimization initiatives, ensuring that business objectives are met with data-driven precision. In a fast-paced, collaborative environment, you will partner with cross-functional teams to translate analytical findings into actionable business recommendations.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โข Design, implement, and validate nonlinear and parametric price elasticity models using econometric and machine learning methods.
โข Extract, clean, and preprocess large volumes of sales, pricing, and consumer data from multiple sources.
โข Conduct hypothesis testing, causal inference, and scenario analysis to evaluate pricing experiments and promotional campaigns.
โข Deploy predictive models into production pipelines, ensuring scalability and robustness for real-time pricing decisions.
โข Create interactive dashboards and visualizations to communicate model insights to stakeholders.
โข Collaborate with product, marketing, and finance teams to align modeling efforts with business strategy.
โข Stay abreast of industry trends, emerging techniques, and best practices in price optimization.
โข Document modeling workflows, assumptions, and results for audit and reproducibility.
โข Mentor junior analysts and provide technical guidance on data science methodologies.
โข Continuously monitor model performance, conduct post-deployment reviews, and iterate improvements.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข 8+ years of experience in data science with a strong focus on pricing and demand modeling.
โข Proficiency in statistical programming languages such as Python, R, or Julia, and familiarity with SQL and data warehousing concepts.
โข Deep knowledge of econometric techniques (e.g., logit, probit, BLP) and machine learning models (e.g., random forest, XGBoost) applied to price elasticity.
โข Demonstrated ability to build end-to-end analytical solutions from data ingestion to model deployment.
โข Strong analytical mindset with a proven track record of turning complex data into actionable business insights.
โข Excellent communication skills for presenting technical findings to non-technical audiences.
โข Experience working in a dynamic, cross-functional team environment.
โข Familiarity with cloud platforms (AWS, GCP, Azure) and data pipeline tools (Airflow, dbt).
โข Ability to navigate ambiguous problems, iterate rapidly, and deliver high-impact solutions.
โข Passion for continuous learning and staying current with the latest research in pricing analytics.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.