Senior Data Scientist at Conviva

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Machine Learning, NLP, Hypothesis Testing, Probability Distributions, A/B Testing, SQL, Scala, R, Python, Hadoop, Spark, Hive, Data Manipulation, Algorithm Design, Data Analytics

Industry

Software Development

Description

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust. What Success Will Look Like: Design and develop metric and algorithms to draw insight from large data sets to identify new data-driven products and services. Understand the business context for the Conviva data well enough to be able to interpret it, clean it and transform it into a consumable format. Interpret analytical insight of statistical data with the appropriate business context and provide guidance to business decisions. Tracking cutting-edge algorithms/LLM/Agent, actively using new technologies, new algorithms, new ideas, and new concepts. Participate the development and optimization of data analytics systems. Who You Are and What You've Done: BS or above in computer science, data science, mathematics or statistics and other related majors More than 5 years of work experience in data analytics or data scientist Statistic knowledge (e.g. Hypothesis testing, Probability distributions) is a must-have ability. Knowing how to design experiments and carry out A/B tests for different business use cases. Statistical modeling and machine learning skills especially on NLP are required. The candidate should have the ability to formalize a business problem into a machine learning problem, select the proper modeling algorithms and build out the models following the right process of training, testing, and validation. Be able to perform data manipulations, including aggregation, distribution, ordering, etc., with programing languages such as SQL, Scala, R or Python. Familiar with big data processing technologies such as Hadoop, Spark, Hive, etc.. Good spoken English communication skills Strong interest and enthusiasm for technological innovation and problem-solving, with the ability to quickly learn and adapt to new technologies and tools. To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.com

Responsibilities

Design and develop metrics and algorithms to extract insights from large datasets for identifying new data-driven products and services. Interpret statistical data insights within the business context to guide decision-making and participate in the development and optimization of data analytics systems.