Data Scientist — ML, Insights & Impact

ByteDance; New York (NY); On-site; USD 144,000 - 216,000; Full time

Job summary

ByteDance in New York, NY seeks a data scientist to build rules, ML models, and insights from diverse data sources. You will analyze large datasets, develop predictive models, and present findings with visuals to guide business decisions.

The role requires advanced degree in a quantitative field and hands-on experience with SQL, data visualization, and data pipelines. Travel up to 5% internationally.

Qualifications

• Master’s degree or foreign equivalent in a quantitative field with 1 year of related work experience, or a Bachelor’s with 3 years of related work experience.
• Experience in data analysis, data ingestion or data integration; SQL queries and data visualization tools for large data sets; cleaning and processing data using relational databases or Hadoop; identifying business problems and proposing data-driven growth opportunities; designing and maintaining dashboards for KPIs and self-service insights.

Responsibilities

• Build rules, algorithms, and machine learning models to extract insights from raw data sources.
• Analyze large datasets to identify trends and automate data collection processes.
• Build predictive models and machine-learning algorithms.
• Design and monitor core metrics to inform decision-making and explain key drivers.
• Present information using data visualization techniques.
• Develop classification and regression models using ML techniques.
• Propose solutions to business challenges and collaborate with cross-functional teams.

Skills

Data analysis

Data ingestion

Data integration

SQL queries

Visualization

Dashboards

Problem solving

Cross-functional work

Education

Master's in CS/related fields

Bachelor's in CS/related fields

Tools

SQL

Hadoop

Relational DBs

Data visualization tools

Job description

ByteDance in New York, NY seeks a data scientist to build rules, ML models, and insights from diverse data sources. You will analyze large datasets, develop predictive models, and present findings with visuals to guide business decisions.

The role requires advanced degree in a quantitative field and hands-on experience with SQL, data visualization, and data pipelines. Travel up to 5% internationally.