Data Scientist

Requirements

• 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

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at comscore? Share your experience