Data Scientist Research (Behavioral)

quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings
into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

What You'll Need

• Proficiency in Python packages such as pandas, seaborn, scikit-learn, dplyr or nltk
• Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way to both technical and non-technical audiences.
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disgregat issues, identify root causes and recommend solutions

Responsibilities

• Lead technical research on bridging the understanding between human and machine learning
• Build the library of elementary concepts that serve as factors to form content
• Interpretation of natural signals (image, audio, text, video) into structured computational signals for ML models to process like the human brain
• Identify patterns that indicate intentions, and verify them with experiments
• Incorporate a variety of statistical and machine learning techniques - such as logistic
  regression, clustering, mixed modeling, decision trees and neural networks - on multi-modal datasets
• Understand underlying data sources and their limitations. Create innovative approaches to answer pressing questions, prepare complex data analyses and models that help solve issues,drive the scaling of automated processes and deliver significant measurable impact
• Communicate with machine learning engineers and product partners to understand business needs and provide analytical solutions

Qualifications

Requirements

• Advanced degree in social, behavioral, human-centric interaction or cognitive sciences (Linguistics, Sociology, Anthropology, Psychology) or other research-oriented disciplines within Humanities. Experience in quantitative fields (Computer Science, Engineering, Statistics, Mathematics or related fields) is a plus, Ph.D.is a plus
• Proven experience in working with large datasets and relational databases (Hive, SQL)
• 3-7 years of hands-on behavioral/ cognitive research experience in a business environment
• Experience in statistics and experimental design and data mining techniques (k-means clustering, regression, decision trees, clustering, neural networks,etc.)
• Experience in programming computational and statistical algorithms for large data sets.
• Proficiency in Python packages such as pandas, seaborn, scikit-learn, dplyr or nltk
• Distinctive communications skills and ability to communicate analytical and technical 2 content in an easy-to-understand way to both technical and non-technical audiences
• Intellectual curiosity, along with excellent problem-solving and quantitative skills

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.