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Data Scientist, Lead

Company Description

R24_0014202|US

MRI-Simmons Research is a leading consumer insights company. We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people!

MRI-Simmons measures consumer preferences, attitudes, and behaviors. We do this by collecting data through surveys and passively measured data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software. Marketers and media companies then use MRI-Simmons data and technology to develop marketing strategies, consumer segmentation schemes and media activation approaches. The MRI-Simmons Catalyst and Consumer Canvas Products gives marketers access to actionable consumer insights through consumer intelligence, data enrichment and audience development.

Job Description

As a Lead Data Scientist, the person is responsible for manipulating and analyzing large datasets from multiple sources, integrating this data either through statistical modeling or data fusion, and communicating findings in a clear manner to internal and external clients. The individual will also work with internal team members to assist in solving internal and external client problems. This is a full-time non-contract position.

As the Lead, Data Science, you will have the following key accountabilities:

  • Develop new solutions for Platform and Media Products to meet our client’s needs.
  • Perform exploratory analysis to select appropriate tools and methods
  • Initiate and drive collaboration with stakeholders including architects, data engineers and product managers to define, cleanse, and refine the data needed for outcomes desired.
  • Analyze and build novel datasets to extract actionable insights to inform platform advancements and understand customer behavior.
  • Become an expert of the MRI-Simmons ecosystem and how various user personas or profiles use MRI-Simmons data to plan, generate audiences, activate and measure.
  • Collaborate with other data science teams to identify efficiencies and maintain consistency where appropriate for sustainable growth, integrations and scale.
  • Collaborate with product owners and managers on their advanced analytic needs.
  • Display full ownership and accountability of projects including project scoping, analysis design, project planning, and implementation.
  • Communicate challenges or issues with a recommended course of action to appropriate stakeholders when necessary.
  • Generate analysis, audits, reporting, documentation, and coding as part of the process.
  • Ability to prioritize projects based on business impact and value.
  • Present analysis of results in a clear manner.

Qualifications

  • 5+ years of experience in a professional data science or machine learning role in related field
  • Bachelor's degree in Computer Science, Statistics, Data Science or similar field required.
  • Expert-level experience using modern data analysis tools and languages (SQL, Python, R, Databricks, Snowflake, AWS, Splunk, etc.)
  • Experience with ML/AI techniques
  • Proficient in Microsoft Office

Additional Information

  • $165k and 10% annual bonus
  • Medical/ Vision/ Dental Insurance
  • Work-life balance- Hybrid or Remote schedule
  • Tuition Assistance – up to $5,250.00 yearly
  • 11 paid corporate Holidays
  • Life / Pet Insurance
  • Commuter Benefits
  • Supplier Discounts/ Plum Benefits partnership

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

$165000 / YEARLY (est.)
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$165000K

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What You Should Know About Data Scientist, Lead, NielsenIQ

Are you ready to take your data science skills to the next level? MRI-Simmons Research is on the lookout for a Lead Data Scientist to join our dynamic team in New York, NY! In this role, you'll immerse yourself in the fascinating world of consumer insights, manipulating and analyzing large datasets to drive actionable insights for our clients. Your expertise will be pivotal in developing new solutions for our Platform and Media Products, as you collaborate with architects, data engineers, and product managers. This is a unique opportunity to not only showcase your statistical modeling and data fusion skills but also to become a key player at MRI-Simmons. We’re all about teamwork, and you'll work closely with various stakeholders to refine data needs and address client challenges. Plus, you’ll lead exploratory analysis to select the right tools and methods for insightful decision-making. If you have a strong background in data science, and proficiency in languages like SQL, Python, and R, we’d love to hear from you! Join us in our mission to illuminate consumer behaviors and help shape marketing strategies for our clients. Our collaborative environment, commitment to innovation, and comprehensive benefits package make MRI-Simmons an exceptional place to grow your career. Your next adventure awaits!

Frequently Asked Questions (FAQs) for Data Scientist, Lead Role at NielsenIQ
What are the key responsibilities of a Lead Data Scientist at MRI-Simmons Research?

As a Lead Data Scientist at MRI-Simmons Research, you will primarily focus on manipulating and analyzing large datasets. Your key responsibilities include developing new solutions for our Platform and Media Products, performing exploratory analysis, and collaborating with various stakeholders to ensure data integrity. You'll also analyze and build novel datasets to extract actionable insights and contribute to the continuous improvement of our services.

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What qualifications are required for the Lead Data Scientist position at MRI-Simmons Research?

To qualify for the Lead Data Scientist position at MRI-Simmons Research, candidates should have over 5 years of professional experience in data science or machine learning roles. A bachelor's degree in Computer Science, Statistics, or a similar field is required. Additionally, expertise in modern data analysis tools such as SQL, Python, and R is essential. Familiarity with machine learning and artificial intelligence techniques will be a significant advantage.

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How does MRI-Simmons Research support the professional growth of Lead Data Scientists?

MRI-Simmons Research places a strong emphasis on professional development, offering resources like LinkedIn Learning and tuition assistance of up to $5,250 per year. On top of that, employees enjoy a flexible working environment that facilitates work-life balance, allowing you to grow your skills while managing your professional responsibilities effectively.

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What tools and technologies will a Lead Data Scientist at MRI-Simmons Research be using?

As a Lead Data Scientist at MRI-Simmons Research, you will utilize an impressive array of tools and technologies. This includes data analysis languages like SQL, Python, and R, as well as platforms such as Databricks and Snowflake. Experience with AWS and Splunk will also be beneficial, as you'll frequently engage in statistical modeling and data integration to derive insights for our products.

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What does the work-life balance look like for a Lead Data Scientist at MRI-Simmons Research?

At MRI-Simmons Research, we prioritize work-life balance. The Lead Data Scientist position offers a hybrid or remote work schedule, allowing you to manage your time effectively. We believe that flexibility is essential for creativity and productivity, so you can work in a manner that suits your lifestyle while contributing to our mission.

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Common Interview Questions for Data Scientist, Lead
Can you describe your experience with data analysis tools relevant to the Lead Data Scientist role?

In responding to this question, focus on specific tools you've used, such as SQL, Python, or R. Share examples of projects where you've applied these tools effectively, emphasizing how your experience aligns with the needs of MRI-Simmons Research.

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How do you prioritize projects when you have multiple data science tasks to complete?

To answer this question, explain your process for assessing which projects will have the most significant business impact. Discuss how you evaluate deadlines, resource availability, and the strategic goals of the organization, emphasizing your decision-making skills and ability to adapt.

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Describe a challenging data analysis project you worked on and how you overcame the obstacles.

When answering this, provide a concise summary of the project, the specific challenges faced, and the steps you took to address them. Highlight your problem-solving abilities and how collaboration with team members helped achieve project success.

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What techniques do you use for exploratory data analysis?

Outline the statistical methods and visualization techniques you've employed in past projects. Discuss how these techniques led to actionable insights and how you tailored your approach based on the dataset being analyzed.

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How do you ensure data quality and integrity in your analyses?

To respond effectively, explain your methods for data validation, cleansing, and auditing. Offer examples of standard practices you follow to maintain data accuracy and reliability in your work.

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How do you stay current with the latest trends in data science and machine learning?

Share your strategies for keeping up-to-date with industry developments, such as attending webinars, reading relevant literature, and participating in professional organizations. This shows your commitment to continuous learning, which is essential for a Lead Data Scientist position.

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Can you explain a time when you presented insights to non-technical stakeholders?

Highlight your communication skills by discussing a specific instance where you translated complex data findings into understandable insights for a non-technical audience. Emphasize your ability to tailor your message while aligning it with business objectives.

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What is your experience with machine learning techniques?

Discuss any relevant experience you have with machine learning algorithms and their applications. Include examples of projects where you implemented ML techniques and the significance of the results achieved.

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How do you approach collaboration with cross-functional teams?

Illustrate your experience in working with diverse teams, such as product owners and engineers, and how you foster communication to address data needs and project requirements. This emphasizes your teamwork and collaborative spirit.

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Why do you want to work as a Lead Data Scientist at MRI-Simmons Research?

When answering this question, express your enthusiasm for the role and how your skills align with MRI-Simmons Research's mission. Mention specific aspects of the company or its projects that attract you, highlighting your motivation for joining the team.

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Full-time, hybrid
DATE POSTED
December 6, 2024

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