Our engineering team defines the technical architecture and drives itself to build systems that serve billions of requests per day, cosmic scales of video content streamed every day, with ultra-low latency design and high reliability. We make sure every byte of video content gets to millions of viewers, at the highest quality possible. We are growing fast and looking for talented Engineers who are up for one of the biggest yet outcomes in the video streaming business as we gun to be the primary destination for digital first entertainment in India and make JioCinema accessible to every Indian.
What will you do ?
- Design, develop & execute the required analytical algorithms, techniques, and statistical methods to develop analytics solutions to address and then solve business problems such as ad pricing, content scheduling, viewership forecast, etc. primarily for broadcast business
- Bring structure to large quantities of data and make analysis possible, extract meaning from data to help improve decision making
- Design experiments, test hypotheses and build actionable and scalable models to improve consumer or client experience
- Interpret and contextualize the results in business context and share outcomes/insights through dashboards
- Manage project timelines and provide timely updates on significant issues or developments
- Communicate results, findings and observations in clear and concise documents (presentations, reports) to peers and program leader in formal/informal reviews
- Help decision makers shift from ad-hoc analysis to an ongoing conversation with data
- Work closely with internal stakeholders such as business applications team and partner teams to deploy the developed solution to optimize the business operations seamlessly
- Train the key business stakeholders to operate the solution on ongoing basis and ensure adoption
- Provide support to the business teams on deployed solutions when needed
- Stay up-to-date with the latest tools and techniques in data science
Who should apply for this role ?
- Bachelors or Masters in engineering, math, statistics, economics or relevant quantitative discipline
- Strong academic performance with emphasis on statistics is required
- 2 - 4 years of experience in advanced analytics domain in BFSI, Telecom, Retail, media agency, consulting or digital industry
- Strong knowledge of statistics with experience generating models using techniques such as regression, time series forecasting, clustering, decision trees, optimization models, random forest, machine learning models
- Proficiency with one of the statistical programming tools (eg. R, Python) is a must
- SQL proficiency is a must
- Ability to understand a problem statement and implement analytical solutions & techniques independently or with minimal supervision
- Ability to extract, aggregate and manage large volume data sets using data mining techniques
- Experience with big data platforms and tools (eg. Hadoop, HDFS, Hive, Pig, Cassandra, Storm) is preferred but not mandatory
- An excellent problem solver with get it done attitude
- Ability to manage stakeholders and mentor junior team members
Viacom18 Media Pvt. Ltd. is one of India’s fastest-growing entertainment networks and a house of iconic brands that offers multi-platform, multi-generational, and multicultural brand experiences. Viacom18 defines entertainment in India by touching the lives of people through its properties on air, online, on the ground, in cinemas, and merchandise. Its portfolio of 38 channels across general entertainment, movies, sports, youth, music, and kids genres delights consumers across the country with its eclectic mix of programming. JioCinema, Viacom18’s OTT platform, is one of India’s leading streaming services and most popular destination for live sports. Viacom18 Studios has successfully produced and distributed iconic Hindi films and clutter-breaking regional films for over 13 years in India.
We are an equal opportunity employer and all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status.
