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Data Scientist - job 1 of 6

Company Description

R25_0001526

At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking for a Data Scientist to add to our team.

Remote based role based in the US. Candidates must be physically located within the US.

Job Description

As a Data Scientist, you'll develop data models to meet the needs of the organization's decision-making process. You are also responsible for managing the flow of information between departments through the use of relational databases and maintaining data integrity by working to eliminate redundancy. 

Responsibilities:

  • Enable better decisions using the data.
  • Help solve client challenges (e.g. performance mgmt., product or methodology evolution POC).
  • Translate Clients’ requirements to actionable solutions or products.
  • Identify new business opportunities within our clients. 

A LITTLE BIT ABOUT YOU 

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to experience solving complex clients. While you’ve worked with global cross-functional teams, you can develop data models to meet the needs of the organization's decision-making process. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next. 

#LI-Remote

Qualifications

  • Bachelors or Masters degree in Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadership.
  • Experience in quantitative analysis is preferred, and a strong educational background in engineering, statistical or technical field. 
  • Knowledge in modeling techniques and methodologies: Linear regression, Time series Regression, K mean, Neural Networks, Decision trees, Classification, Machine Learning, Deep Learning, etc. 
  • Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. Develop creative scientific approaches to solve for client’s business questions that are currently not addressed with standard information available. Push the boundaries of a wealth of data to draw impactful insights to our clients. 
  • Proficient in Python, R, SQL or other statistical packages. 
  • Ability to communicate effectively with clients.  
  • Demonstrates experience in statistical techniques, market research methodologies, research processes, operations as well as knowledge of the complexity of consumer businesses and client needs. 
  • Strong project management and communication skills. 
  • Ability to present and explain methodological and operational solutions to clients and executive leadership. 

Additional Information

This role has a market-competitive salary with an anticipated base compensation of the following range: $55,500 - $90,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.

US Benefits

  • Comprehensive healthcare plan (medical, Rx, dental and vision).
  • Flexible spending accounts and Health Savings Account (including company contributions).
  • Life and AD&D insurance.
  • 401(k) retirement plan including company matching contributions.
  • Disability insurance.
  • Tuition Reimbursement.
  • Discretionary paid time off program and 11 paid holidays.

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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Average salary estimate

$72750 / YEARLY (est.)
min
max
$55500K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, NielsenIQ

At NIQ, we're excited to invite a talented Data Scientist to join our dynamic team! This remote position is tailored for those who are passionate about diving deep into consumer buying behavior and translating data into actionable insights. In this role, you will develop data models that enhance our decision-making processes and help our clients solve complex challenges. You'll be at the forefront of enabling smarter business opportunities by managing information flow between departments and ensuring data integrity, which is essential in our fast-paced environment. If you’re comfortable with coding in Python, possess a solid analytical background, and can communicate effectively with clients, you’re the perfect fit! You’ll collaborate with cross-functional teams to develop innovative solutions that push the boundaries of data understanding and impact client success. Join us at NIQ, where your skills will help shape the future of consumer insights while enjoying the flexibility of a remote work environment and an array of company benefits that prioritize your well-being and professional growth.

Frequently Asked Questions (FAQs) for Data Scientist Role at NielsenIQ
What are the responsibilities of a Data Scientist at NIQ?

As a Data Scientist at NIQ, your primary responsibilities will include developing data models to support decision-making processes, managing the flow of information between departments, and ensuring data integrity. You’ll be instrumental in translating client requirements into actionable solutions and helping solve challenges related to performance management or product evolution. Additionally, identifying new business opportunities within clients will be an exciting part of your role!

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What qualifications are needed for the Data Scientist role at NIQ?

To qualify for the Data Scientist role at NIQ, you should have a Bachelor's or Master's degree in Statistics, Operations Research, or Econometrics, accompanied by strong analytical capabilities. Experience in quantitative analysis is preferred, and familiarity with modeling techniques such as linear regression, machine learning, and deep learning is essential. Proficiency in programming languages like Python, R, and SQL will set you up for success in this position.

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What skills are essential for a successful Data Scientist at NIQ?

A successful Data Scientist at NIQ should possess strong analytical skills, technical leadership, and the ability to communicate effectively with diverse teams and clients. Proficiency in statistical techniques, market research methodologies, and project management is crucial. Understanding consumer businesses, coupled with a flair for presenting complex data insights to stakeholders, will also be vital in this role.

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What can I expect from the work environment as a Data Scientist at NIQ?

At NIQ, the work environment for a Data Scientist is highly flexible and collaborative. You’ll have the opportunity to work remotely while engaging with a diverse team of professionals dedicated to consumer intelligence. NIQ promotes a culture of innovation and inclusivity, ensuring that your ideas and contributions are valued. Additionally, the organization supports your growth with comprehensive benefits and a commitment to diversity, equity, and inclusion.

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How does NIQ support professional development for Data Scientists?

NIQ is committed to the professional development of its Data Scientists. The company offers education support, including tuition reimbursement, access to LinkedIn Learning, and opportunities for cross-functional collaboration and knowledge sharing. This focus on growth ensures that you not only excel in your role but also enjoy a fulfilling career journey.

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Common Interview Questions for Data Scientist
Can you explain a data modeling technique you’ve used?

When answering this question, focus on a specific modeling technique you have applied, such as linear regression or machine learning. Describe the context of the project, what data you worked with, how you implemented the technique, and the outcomes it achieved. Show your understanding of why the technique was the best choice for the problem at hand.

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How do you handle missing data in your analyses?

Discuss the strategies you've implemented for handling missing data, such as data imputation, using algorithms that handle missing values, or analyzing patterns of missingness. It's important to mention your rationale for your chosen method and how it benefits the integrity of your results.

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Describe a time when you had to communicate complex data findings to a non-technical audience.

Share an example where effective communication was key to conveying data insights to a non-technical audience. Focus on your approach to simplification of complex concepts, the tools you used (e.g., visualizations), and how your presentation impacted the stakeholders' understanding or decision-making.

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What tools or programming languages are you proficient in?

Be specific about the tools and programming languages you are comfortable with, such as Python, R, SQL, or any other relevant software. Mention any projects or tasks where these skills were essential, explaining how they helped achieve the desired outcome.

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Can you give an example of a challenging project you worked on?

Outline a project that had significant challenges, detailing the objectives, the difficulties faced, and how you overcame them. Highlight any analytical techniques you used and the impact your work had on the organization or your clients.

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How do you stay updated with the latest trends in data science?

Discuss the resources you use to keep your skills current, such as attending workshops, following industry-leading blogs, participating in online courses, or engaging with data science communities. This shows your commitment to personal and professional development.

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What methods do you use for data validation?

In response, explain the strategies you apply to validate data, such as checking for consistency, coherence, and completeness or applying statistical tests. Providing examples from past projects where validation was critical can emphasize your attention to detail and quality assurance.

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How do you prioritize projects in a fast-paced environment?

Provide insight into your project management techniques, such as setting clear deadlines, evaluating project scopes, or using prioritization frameworks. Mention tools you use for task tracking to ensure you meet client and departmental expectations.

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Explain a situation where your analysis had a significant impact.

Use this opportunity to highlight a specific project where your data analysis led to meaningful decisions or improvements within the company. Share quantifiable outcomes and be sure to illustrate how your insights aligned with business goals.

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How do you approach client requirements and translate them into data science solutions?

Discuss your methodology for understanding client needs, which could include thorough communication, requirement gathering, and consultation. Elaborate on how you convert these requirements into technical tasks and actionable data models that deliver value.

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Full-time, remote
DATE POSTED
April 23, 2025

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