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Data Scientist

Comscore is a media measurement company providing multiscreen reporting and analytics with cutting-edge technology to serve clients in the entertainment, media, retail, and advertising industries. Comscore's Data Science team helps design the intelligent engines that power the company's advanced Media Ratings, Movies & TV Everywhere measurement systems. Through our research, Comscore builds projections that make the massive amount of raw data we take in from screens across the world meaningful and useful for our clients.

The Data Scientist position is part of the Television Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscore’s projection system for US national television, local television, and cross platform measurement services. This position is expected to have a particularly significant role in Comscore’s measurement of Linear Television for both national and local television. In this role, the Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection solutions for precise cross-platform measurement using large-scale data sets in a fast-paced business environment. The Data Scientist will investigate and diagnose potential internally- and externally-facing issues, and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes.

Duties & Responsibilities:

  • Utilizes software including SQL, Python/R, and UNIX/Linux as well as internal and third-party tools to generate, analyze, and deliver data driven insights.

  • Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.

  • Responsible for the timely and error-free operation, production and delivery of syndicated product data. Ensures the integrity and validity of data for On Demand, Linear TV, Digital, and Cross Platform products.

  • Develop analytical approaches to answer high-level questions and develop insightful recommendations.

  • Support the research and investigation of client-reported inquiries.

  • Collaborate with Analytics, Engineering, and Best Practices teams to meet and support business goals.

  • Develop routine analytical methods; proactively seek out potential solutions to issues.

  • Provide suggestions to advance and improve methodologies.

  • Provide complex troubleshooting of analytical methods.

  • Uses attention to detail and problem-solving skills to find and correct data problems, applying statistical methods to adjust and project results when necessary. Works across teams and functions to drive process improvement initiatives.

  • Serves as subject matter expert on Comscore's TV methodologies.

Qualifications:

  • A degree in a quantitatively focused discipline (i.e., Statistics or Economics, Data/Computer Science or Engineering, Systems Engineering, Computation Finance, Operations Research, Mathematics or Physics, etc.).

  • 2-4 years of experience in the synthesis of research findings and making data-driven arguments.

  • Expertise at querying and manipulating data in preparation for analytics or data visualization using SQL, Spark, R/Python, etc.

  • Ability to learn complex methodologies quickly and draw on your creative problem-solving skills to achieve results.

  • Ability to convey complex analytical approaches and findings; writing skills are essential.

  • Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities.

  • Ability to multi-task and work with manager to prioritize efficiently to meet deadlines.

  • Experience with Media Rating Council (MRC) is a plus.

Shift: 

The regular hours for this shift will be 2 pm --11 pm IST. Occasionally, earlier or later hours may be required for meetings with teams in other parts of the world.  Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required.   

Benefits:

• Medical: Comscore offers a collective Private Medical Insurance scheme which is 100% covered by Comscore. The benefit is applicable to employees, an employee’s spouse, up to two children and parents.

• Pension: Provident Fund: Comscore bears both the employee and employer contribution.

• Time Off Annual Leave: Comscore offers market competitive annual leave of 25 Annual Leave Days (12 Casual and 13 Privilege), following local guidelines and practices.

• National Holidays and Festival Holidays: 10 Days.

• Sick Leave: 12 Days.

• Additional Leave: Paternity, Bereavement, Marriage, Maternity, Additional Pregnancy / Birth Related Leave

• Christmas / New Year Paid Leave, Comscore offers a week of Company paid leave over the Christmas / New Year period. PAGE 3

• Summer Hours: Comscore has a culture that rewards employees for their hard work. When you work hard, you need time to recharge and refresh. Early releases on Fridays are subject to manager approval.

• Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors)

• Access to hundreds of professional e-learning courses, specifically created for Comscore

• Be creative: You don’t have to follow the norm to be successful – we encourage you to think outside the box. Our culture is built on encouraging innovative ideas, communication and joint success.

• Informal Work Atmosphere: We believe in getting the job done in a comfortable, casual environment!

• The ability to become a truly global engineer, with exposure to markets across the world. With more than 30 offices around the world, many Comscore teams work together across locations.

About Comscore:

At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you. This will be a foundational role on our Pune-based GL team during a time of exponential growth for Comscore in Pune. The candidate for this role will be one of the first GL hires in Pune and will work with Comscore teams around the world on work vital to the future of Comscore and our clients. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, thirdparty source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.

About Comscore:

 

At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you.   

Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.

Comscore is committed to creating an inclusive culture, encouraging diversity.

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What You Should Know About Data Scientist, Comscore

Are you ready to dive into the world of data with Comscore as a Data Scientist? This is not just any remote position; it’s your chance to be a vital part of a company that is redefining media measurement. At Comscore, you'll collaborate with our Television Analytics team, creating the robust systems that enable clients across entertainment, media, and advertising to make sense of vast amounts of data. Your mission: to build algorithms and tools that enhance our cross-platform measurement capabilities. With your technical skills in SQL, Python, and R, you'll analyze and interpret complex data to deliver insights that drive business decisions. Your analytical prowess will be put to good use as you troubleshoot challenges, develop strategies, and communicate actionable findings to diverse stakeholders. Along the way, you will cultivate a rich understanding of linear television data, assisting both national and local measurement efforts. If you have a quantitative background and a knack for problem-solving, this is the perfect opportunity for you at Comscore, where innovation thrives and team collaboration paves the way for success.

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

As a Data Scientist at Comscore, your main responsibilities include analyzing large sets of linear television data, developing algorithms and custom projection solutions, and collaborating with cross-functional teams to support TV measurement projects. You will also be responsible for ensuring data integrity and performing regular troubleshooting to maintain high-quality results.

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What qualifications are needed to become a Data Scientist at Comscore?

To qualify for the Data Scientist position at Comscore, candidates should have a degree in a quantitatively focused discipline, such as Statistics, Data Science, or Engineering, alongside 2-4 years of relevant experience. Proficiency in SQL, Python/R, and a strong analytical skill set are essential for success in this role.

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How does Comscore ensure data integrity for its products as a Data Scientist?

At Comscore, Data Scientists are vital in maintaining data integrity by regularly analyzing and validating syndicated product data. They employ statistical methods to adjust and project results, troubleshoot analytical methods, and collaborate across teams to enhance methodologies, ensuring the accuracy of our measurement services.

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What tools and software will a Data Scientist at Comscore use?

Data Scientists at Comscore utilize a variety of tools and software for analysis and data visualization, including SQL, Python, R, Spark, and UNIX/Linux environments. Familiarity with these tools is crucial for generating insights and delivering actionable recommendations.

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Can you describe the work environment for a Data Scientist at Comscore?

The work environment for a Data Scientist at Comscore is remote, fostering a culture of collaboration and innovation. The company promotes a casual atmosphere where creativity is encouraged, and teamwork is emphasized, offering opportunities to work on impactful projects globally.

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Common Interview Questions for Data Scientist
How do you handle data discrepancies in your analysis?

In your response, share your approach to identifying and diagnosing data discrepancies, emphasizing your analytical skills. Describe any specific methods or tools you use to investigate issues, including example scenarios where you successfully resolved data problems.

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Can you explain a complex analytical project you've worked on?

When answering this question, provide a detailed overview of the project scope, your role, and the methodologies used. Highlight the outcomes achieved, as well as the insights gained, and elaborate on how this experience has shaped your analytical skills.

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What statistical methods do you find most useful in data analysis?

Discuss statistical methods such as regression analysis, hypothesis testing, or time series analysis. Explain why you prefer these methods in your work and provide examples of how you've successfully employed them in past projects.

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How would you approach building an algorithm for cross-platform measurement?

In your answer, outline the steps you would take to define requirements, gather data, collaborate with stakeholders, and iterate on algorithm development. Highlight your understanding of the unique challenges posed by cross-platform measurements and your problem-solving approach.

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Describe a time when you had to present your findings to non-technical stakeholders.

Share a specific instance where you effectively communicated complex analytical results to a non-technical audience. Discuss how you tailored your presentation to ensure clarity and understanding, including any visuals or narratives used to convey your insights.

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What do you think are the biggest challenges facing data scientists today?

Discuss current trends such as data privacy, the integration of diverse data sources, and the need for real-time analytics. Share your thoughts on how data scientists can navigate these challenges, perhaps referencing potential solutions or strategies.

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How do you prioritize tasks when working on multiple projects?

Explain your approach to prioritizing tasks, perhaps using techniques like the Eisenhower Box or Agile methodology. Discuss how you communicate with your manager and team to ensure alignment and efficiency as you manage deadlines across projects.

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What role does visualization play in your analysis?

Emphasize the importance of data visualization in presenting complex findings. Share favorite tools you use and provide examples of how effective visualizations have aided in conveying insights and supporting decision-making within projects.

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

Describe the resources you use, such as journals, online courses, webinars, or community forums, to keep your knowledge current. Share any specific examples of new methodologies or technologies you’ve incorporated into your work as a result.

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What is your experience with big data technologies?

Discuss your experience with big data tools like Hadoop or Spark in relation to your analysis work. Provide examples of how you have handled large datasets, focusing on your role in optimizing processes and deriving insights from big data.

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Measure what matters to make cross-platform audiences and advertising more valuable.

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BENEFITS & PERKS
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Disability Insurance
Health Savings Account (HSA)
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 27, 2025

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