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Principal Data Scientist - Marketing Measurement & Data Science Job Opening In Charlotte – Now Hiring Lowe's


Job description

**Your Impact**
We are seeking a highly experienced Principal Marketing Measurement & Data Science to drive the development and implementation of advanced analytical frameworks that optimize marketing investments, personalize customer experiences, and support enterprise-wide measurement.

This role sits at the intersection of marketing strategy, advanced analytics, and data engineering.

The ideal candidate will bring deep technical skills, thought leadership, and hands-on experience to design, execute, and scale measurement solutions across multiple channels and use cases.

**Create the future of Retail Tech**
As a leader and data science expert, you’ll be able to shape the future of retail technology under the leadership one of Forbes Top 50 CIOs, Seemantini Godbole.

You’ll also be leading a talented team who share your passion for innovation and excellence.

We’ve been around for over 100 years, so we’re not going anywhere.

We have the stability you need to focus on looking to the future and bringing your team there with you.

And you’ll be surrounded by peers who are visionaries in their areas – people who can collaborate with you to challenge you, help you grow, and inspire you.

We know what it takes to build an inclusive culture – from collaborating with diverse and curious minds to approaching challenges with new perspectives.

**Innovate in Charlotte**
This position is based at our on-site Tech Hub in Charlotte, North Carolina.

Lowe's Tech Hub is an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site barista and Zen Garden, and other perks to enhance your work experience.

**Key Responsibilities**

+ **Marketing Measurement Leadership** Lead the strategy and execution of cross-channel measurement frameworks (MMM, MTA, geo testing, incrementality testing, platform-based attribution) to inform marketing ROI, budget allocation, and campaign optimization.
+ **Advanced Analytics for Personalization & Optimization** Develop and deploy models for segmentation, CLV, propensity, and recommendations.

Collaborate with marketing teams to implement data-driven personalization and targeting strategies.
+ **Experimentation & Testing Frameworks** Architect and scale testing strategies, including A/B, geo-based, and quasi-experimental designs using ARIMAX and causal inference methods.

Standardize best practices across the enterprise.
+ **Pricing & Promotion Analytics** Drive analytics to support pricing and promotional decisions, including elasticity modeling, dynamic pricing, and personalized offer testing using dual uplift methodologies.
+ **Data Integration & Platform Strategy** Collaborate with data engineering and platform teams to scale analytics using modern stacks (AWS, Azure, Snowflake, Databricks, Spark, CDPs).

Leverage BI platforms and marketing tools (Adobe, Salesforce, Braze, AB Tasty, Optimizely).
+ **Stakeholder Engagement & Influence** Serve as a trusted advisor to marketing, loyalty, and digital teams.

Translate complex analytics into actionable insights and influence strategic decisions across the business.
+ **Cross-functional Collaboration** Partner with data engineering, product, and business stakeholders to integrate data science into key marketing workflows and customer experiences.

**Required Qualifications**

+ Bachelor's Degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree) and 8 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree)
+ 8 years of programming experience (fewer years may be accepted with a master's or doctorate degree)
+ 5 years of SQL experience and knowledge of various statistical modeling or machine learning techniques

**Preferred Skills/Experience**
_*We encourage you to apply even if you do not have all the preferred skills or experience.

*_

+ Proven expertise in statistical modeling, econometrics, experimental design, and causal inference
+ Proficiency in R, Python, SQL, Spark, and Scala
+ Deep technical fluency with cloud and big data platforms (AWS, Azure, Snowflake, Databricks)
+ Demonstrated success in deploying measurement frameworks across MMM, MTA, geo testing, and incrementality testing
+ Strong experience in segmentation, personalization, CLV modeling, and price/promo analytics
+ Adept in marketing tools such as Adobe, Salesforce, Braze, and testing platforms (e.g., Optimizely, AB Tasty)
+ Skilled communicator capable of translating technical insights into business strategy and influencing senior leaders
+ Experience leading cross-functional teams in matrixed enterprise environments
+ Doctorate Degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field • 5 years of experience performing predictive analytics at a large-scale enterprise
+ 5 years of experience using multiple data systems and sources

**Benefits**
• 401k with up to 4.25% match
• Discounted Employee Stock Purchase Plan (15% discount of strike price)
• Tuition-Free Education
• 10-week Maternity/Parental Leave
• 10% Associate Discount

For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits .

**About Lowe’s**
Lowe’s Companies, Inc.

(NYSE: LOW) is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States.

With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates.

Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need.

For more information, visit Lowes.com.

#LI-81CLEE

_Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law._

Pay Range: $142,400.00 - $270,600.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.


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Unlock Your Principal Data Potential: Insight & Career Growth Guide


Real-time Principal Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Principal Data in Charlotte, United States, highlighting market share and opportunities for professionals in Principal Data roles.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lowe's adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Charlotte. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Principal Data Scientist Marketing Measurement & Data Science typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Principal Data Scientist Marketing Measurement & Data Science Job Success

Lowe's interview tips for Principal Data Scientist   Marketing Measurement & Data Science

Here are some tips to help you prepare for and ace your Principal Data Scientist Marketing Measurement & Data Science job interview:

Before the Interview:

Research: Learn about the Lowe's's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal Data Scientist Marketing Measurement & Data Science interview at Lowe's, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Lowe's's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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