Data Scientist
Remote - India
Comscore, Inc.
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data visualization Economics Engineering Finance Linux Mathematics Physics Python R Research Spark SQL Statistics
Perks/benefits: Career development Health care Medical leave Parental leave Startup environment
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