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Data Science Senior Advisor
we're dedicated to reinventing our marketing strategies to center around a customer-focused, data-driven approach, leveraging cutting-edge technology to ensure communications are targeted, personalized, and efficient.
Integral to this mission is our commitment to modernizing media through innovative initiatives. As a global business with groundbreaking products, there’s always scope for Dell Technologies to grow sales and expand market share. So, highly skilled Data Scientists are essential to understand our media performance.
We develop and implement statistical approaches to quantifying our media impact, using solutions and technology that put our products and services at the forefront of our customers’ minds. Always ready to adjust strategies in response to market change and competition, our team works closely with Go To Market Marketing team and external partners.
Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Marketing Investment strategy & Forecasting team within Marketing Team in Bangalore.
What you’ll achieve
As a Data Science Senior Advisor
We develop and implement statistical approaches to quantifying our media impact, using solutions and technology that put our products and services at the forefront of our customers’ minds. Always ready to adjust strategies in response to market change and competition, our team works closely with Go To Market Marketing team and external partners.
You will:
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Gather and preprocess marketing data from various sources such cloud based/ on-premise databases ensuring data quality and consistency
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Develop and implement AI/ML/time series models to forecast sales demand and trend ensuring timely and accurate delivery of forecast.
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Experience in model orchestration using Airflow Work closely with marketing teams to understand data needs and provide actionable insights.
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Create visualizations to present data findings in a clear and actionable manner.
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Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions. Creating and maintaining custom built libraries.Maintaining version control of artifacts (Github)
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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
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7+ years of exp with Bachelor’s degree in data science/computer science/information technology, or a related field.Good understanding of OLS Regression, Variable reduction techniques (Ridge/Lasso regression), Bayesian regression, Optimisation basics, Out of sample validation etc.
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Strong proficiency in Python, R tidyverse and SQL and experience with time series forecasting tools and techniques.Familiarity with cloud platforms such as GCP.
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Reproducible artifact building (Rmarkdown, Notebooks)Experience with machine learning algorithms and their application in marketing.
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Excellent communication skills to convey complex data insights to non-technical stakeholders.
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Understanding of marketing operations and how data can drive decision-making.Ability to think critically and solve complex problems with attention to detail
Desirable Requirements
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Bachelor’s degree in data science/computer science/information technology, or a related field.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 30th April 2025
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
