Target Corporation
corporate.target.com › jobs › w91 › 22 › lead-data-scientist-product-availability
Lead Data Scientist - Product Availability at TARGET
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.
Target Corporation
corporate.target.com › jobs › w01 › 22 › sr-data-scientist-merchandise-scaling-applied-ml,-python,-ml-ops
Sr Data Scientist - Merchandise Scaling (Applied ML, Python, ML Ops)) at TARGET
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.
Videos
11:23
The 4-Year War | Target's $10 Billion Data Science Strategy | How ...
48:42
a target data story - YouTube
58:29
Brad Zielke @ Target | Data Science Hangout - YouTube
Data Scientist Jobs: Which Position Is Best for You in 2023?
Target Learning Data Science Within 4-5 Months From My ...
21:59
3 Surprising Data Science Jobs Explained by Ex-Meta Data Scientist ...
Target
tech.target.com › teams › data-sciences
Target | Data Sciences
Our Data Sciences team is responsible ... our retail operations. We build certified data sets for analytics and decision modeling and develop data platforms for exploration, visualization and measurement....
Target Corporation
corporate.target.com › careers › career-areas › corporate › target-tech
Corporate Job Areas - Target Tech
Build the technology that makes Target the easiest, safest and most joyful place to shop and work. From digital to supply chain to cybersecurity, develop innovations that power the future of retail while relying on best-in-class data science algorithms that drive value.
Interview Query
interviewquery.com › interview-guides › target-data-scientist
Target Data Scientist Interview Questions + Guide in 2025
November 18, 2025 - Target operates more than 2,000 stores, a massive national supply chain, and a rapidly evolving digital business, making it one of the few retailers where data science meaningfully shapes both physical and online experiences.
Towards Data Science
towardsdatascience.com › home › latest › the hardest part: defining a target for classification
The Hardest Part: Defining A Target For Classification | Towards Data Science
January 18, 2025 - Let’s look at a few examples of the types of transformations we might need to make to our data to generate a target variable, in the context customer churn for a subscription product. This could be an insurance policy, Netflix subscription, whatever.
Glassdoor
glassdoor.com › Jobs › Target-Data-Scientist-Jobs-EI_IE194.0,6_KO7,21.htm
Target Data Scientist Jobs | Glassdoor
308@Target · 17KInterviews · 16KBenefits · 380Photos · 12KDiversity · Job Function · Group · Date posted · 11 results in United States · Most relevant · Sr Data Scientist - Search and Browse (NLP, Query Understanding, LLM's) Sunnyvale, CA · $95K - $205K (Employer provided) 4d ·
OvationMR
ovationmr.com › market research › how target leveraged data analytics to predict customer pregnancies
Predictive Analytics: What you can learn from Target Stores
August 11, 2023 - Learn how data analytics can be used to predict events and trends in customer behavior from Target’s case study in predictive analytics.
Indeed
indeed.com › q-data-analytics-target-jobs.html
Data Analytics Target Jobs, Employment | Indeed
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.
Reddit
reddit.com › r/dataanalytics › target data analyst
r/dataanalytics on Reddit: Target Data Analyst
November 21, 2023 -
Hi folks, i have 7 months of experience working as data analyst. Next week i have an interview for target company. Can someone guide me through that.
Thanks.
Top answer 1 of 5
7
Answer their question the best you can, smile, and ask them good questions.
2 of 5
4
Go on Glassdoor and see what kinds of questions they usually ask on their interviews and prepare answers to those questions. Make sure to have some examples of work situations you’ve been in that you have handled. Think about the salary range question just in case. Practice answering questions so you sound confident when you’re actually in the interview.
Target Corporation
corporate.target.com › jobs › w36 › 07 › lead-data-scientist-supply-chain-optimization-applied-ml,-simulation
Lead Data Scientist - Supply Chain Optimization (applied ML, simulation) at TARGET
The Target Data Sciences - Supply Chain Optimization team leverages operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions.
Association of National Advertisers
ana.net › membersconference › show › id › MOC-0925DAT
On Target: ANA’s Bullseye Summit on Data Analytics Optimization (In-Person Only) | Members Only One-Day Conferences | ANA
In this session, we’ll explore how Target’s Data Science team is using first-party data, machine learning, and GenAI to personalize marketing across every touchpoint.
Harvard Business School
hbs.edu › faculty › Pages › item.aspx
Data Science at Target - Case - Faculty & Research - Harvard Business School
Data Science at Target By: Srikant M. Datar and Caitlin N.
Target Corporation
corporate.target.com › jobs › w28 › 80 › sr-data-scientist-stores-and-properties-applied-ml,-forecasting
Sr Data Scientist - Stores and Properties (applied ML, forecasting) at TARGET
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.
Glassdoor
glassdoor.com › Jobs › Target-data-science-intern-Jobs-EI_IE194.0,6_KO7,26.htm
Target Data Science Intern Jobs | Glassdoor
12 Target Data Science Intern jobs. Search job openings, see if they fit - company salaries, reviews, and more posted by Target employees.
Target Corporation
corporate.target.com › jobs › w31 › 22 › senior-data-scientist-team-ops
Senior Data Scientist - Team & Ops at TARGET
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.
LinkedIn
linkedin.com › in › melissa-ludack-06414ab
Melissa Ludack - Vice President Data Science
What does it take to build AI that prices millions of items fairly, competitively, and in real time? Rohit Punnoose, Sr. Director of Data Sciences… · Beaming with pride to see this feature on how we’re building Target’s Generative AI Platform, Think Tank.
TARGET
indiajobs.target.com › job › bengaluru › senior-data-scientist-digital-fulfillment-t › 34386 › 86963653424
Senior Data Scientist – Digital Fulfillment T at TARGET
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.
Drive Research
driveresearch.com › home › resources › how target used data analytics to predict pregnancies
How Target Used Data Analytics to Predict Pregnancies
May 19, 2025 - Using big data and predictive analytics can tell a frighteningly accurate story. It also explains how the beloved retailer, Target, used modeling and data analytics to identify women as being pregnant before those same women tell their closest friends and family members.
H2O.ai
h2o.ai › wiki › target-variable
What is a Target Variable in Machine Learning?
The target variable is the feature of a dataset that you want to understand more clearly. It is the variable that the user would want to predict using the rest of the dataset. In most situations, a supervised machine learning algorithm is used to derive the target variable.