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Senior Advisor, Data Science
Bengaluru, Karnataka, India
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingGather and preprocess marketing data from cloud and on-premise databases
Develop and implement AI, ML and time series models to forecast sales demand
Build model orchestration workflows using Airflow
Create visualizations that present data findings clearly
Work with marketing and cross-functional teams to implement data-driven solutions
From the employer’s posting
Gather and preprocess marketing data from various sources such cloud based/ on-premise databases
Develop and implement AI/ML/time series models to forecast sales demand and trend
Experience in model orchestration using Airflow
Create visualizations to present data findings in a clear and actionable manner.
Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions
What you’ll bring
All qualificationsCore experience
- Hands-on experience building marketing mix models
- Strong understanding of regression analysis and interpreting coefficients
- Proficiency in Python and SQL
- Knowledge of causal inference techniques and confounding/bias issues in regression
- Ability to diagnose multicollinearity and avoid spurious regression
Preferred experience
- Bachelor's degree in Statistics, Econometrics, Data Science, Computer Science, or a related field; Master’s degree preferred Bachelor’s degree in Data Science, Computer Science, or related field; advanced degree a plus.
Qualification wording
Hands-on experience building marketing mix models
Strong foundational understanding of regression analysis, including the ability to interpret coefficients meaningfully in both statistical and business contexts
proficiency in Python, and SQL
familiarity with causal inference techniques
Ability to diagnose and address multicollinearity among correlated marketing variables
Bachelor's degree in Statistics, Econometrics, Data Science, Computer Science, or a related field; Master’s degree preferred Bachelor’s degree in Data Science, Computer Science, or related field; advanced degree a plus.
Education & alternatives
Desirable Requirements - Bachelor's degree in Statistics, Econometrics, Data Science, Computer Science, or a related field; Master’s degree preferred Bachelor’s degree in Data Science, Computer Science, or related field; advanced degree a plus. - Experience with machine learning algorithms and their application in marketing and maintaining version control of artifacts (GitHub, GitLab)
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 12, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Dell Technologies is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Airflow
Where the posting names them
- Awareness of biases that arise from unobserved factors, such as omitted variable bias, reverse causality, or simultaneity, and familiarity with strategies to mitigate them - Understanding of good and bad control variables in regression modeling; ability to distinguish between confounders, mediators, colliders, or post-treatment variables. Ability to identify and avoid spurious regression, familiarity with causal inference techniques and proficiency in Python, and SQL Desirable Requirements
- Develop and implement AI/ML/time series models to forecast sales demand and trend ensuring timely and accurate delivery of forecast. - Experience in model orchestration using Airflow - Work closely with marketing teams to understand data needs and provide actionable insights.
Your next step
Complete your application on enterpriseplatform.dell.com. The employer’s form will show what is required.
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Has Dell Technologies posted this job before?
Yes. We’ve followed 2 other Senior Advisor, Data Science jobs there since November 2026. All 2 are still up.
About Dell Technologies
- People
- About 97,000 in 2026, down 10% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DELL.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
Senior Advisor, Data Science
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
What you’ll achieve:
As a Senior Advisor, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. We are seeking a skilled data scientist with a proven track record of building and maintaining Machine Learning models to join our Marketing forecasting team.
Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Science team.
You will:
- Gather and preprocess marketing data from various sources such cloud based/ on-premise databases ensuring data quality and consistency
- Develop and implement AI/ML/time series models to forecast sales demand and trend ensuring timely and accurate delivery of forecast.
- Experience in model orchestration using Airflow
- Work closely with marketing teams to understand data needs and provide actionable insights.
- Create visualizations to present data findings in a clear and actionable manner.
- Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- Strong foundational understanding of regression analysis, including the ability to interpret coefficients meaningfully in both statistical and business contexts, Hands-on experience building marketing mix models, with a strong understanding of marketing performance measurement
- Ability to diagnose and address multicollinearity among correlated marketing variables and understand its impact on model reliability
- Understanding how to model interaction effects to capture how different factors amplify or diminish one another
- Awareness of biases that arise from unobserved factors, such as omitted variable bias, reverse causality, or simultaneity, and familiarity with strategies to mitigate them
- Understanding of good and bad control variables in regression modeling; ability to distinguish between confounders, mediators, colliders, or post-treatment variables. Ability to identify and avoid spurious regression, familiarity with causal inference techniques and proficiency in Python, and SQL
Desirable Requirements
- Bachelor's degree in Statistics, Econometrics, Data Science, Computer Science, or a related field; Master’s degree preferred Bachelor’s degree in Data Science, Computer Science, or related field; advanced degree a plus.
- Experience with machine learning algorithms and their application in marketing and maintaining version control of artifacts (GitHub, GitLab)
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.