2 days ago

Data Scientist (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build rules, algorithms, and machine learning models to extract business insights from raw data. Analyze large datasets to find trends, patterns, and anomalies using statistical methods, and develop predictive models including classification and regression. Communicate findings with data visualization, design and analyze A/B experiments, and create marketing measurement frameworks and audience targeting strategies. Partner with data engineers and domain experts to optimize project outcomes and provide data-driven recommendations to stakeholders.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build rules, algorithms, and machine learning models to identify and extract business insights from raw data and data sources.
•Analyze large datasets to discover trends and patterns using probability and statistical analysis, and automate collection processes.
•Develop predictive models and machine-learning algorithms, including classification and regression using ML techniques.
•Present insights using data visualization, and design, conduct, and analyze A/B experiments.
•Define marketing measurement frameworks and develop audience targeting strategies based on data science methodologies, collaborating with cross-functional teams to meet project goals.

Travel: Low travel

Pay and Benefits

Salary: USD 158,808 - 228,000 annually

Key Requirements

•Master’s degree (or foreign equivalent) in a quantitative field (e.g., Computer Science, Engineering, Data Science, Analytics, Statistics, Mathematics, Finance) with 2 years of related experience; or Bachelor’s (or foreign equivalent) with 5 years post-bachelor’s progressive related experience.
•2 years of experience using SQL queries and data visualization tools to gather, process, visualize, and analyze data to detect trends and anomalies.
•2 years of experience analyzing anomalies using Python and statistical analysis techniques.
•2 years of experience developing machine learning models in Python and providing data-driven insights and recommendations based on model performance and business requirements.
•2 years of experience designing, maintaining, and optimizing reporting dashboards and data pipelines, including analyzing metric movements to identify drivers and derive insights.

Experience:2-5 years

Education:Master's

Skills:CollaborationStakeholder management

Tech Stack:SQLPythonMachine learningData visualizationA/B testingClassification algorithmsRegression algorithmsReporting dashboardsData pipelines

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

Data Scientist (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build rules, algorithms, and machine learning models to identify and extract business insights from raw data and data sources.
•Analyze large datasets to discover trends and patterns using probability and statistical analysis, and automate collection processes.
•Develop predictive models and machine-learning algorithms, including classification and regression using ML techniques.
•Present insights using data visualization, and design, conduct, and analyze A/B experiments.
•Define marketing measurement frameworks and develop audience targeting strategies based on data science methodologies, collaborating with cross-functional teams to meet project goals.

Travel: Low travel

Pay and Benefits

Salary: USD 158,808 - 228,000 annually

Key Requirements

•Master’s degree (or foreign equivalent) in a quantitative field (e.g., Computer Science, Engineering, Data Science, Analytics, Statistics, Mathematics, Finance) with 2 years of related experience; or Bachelor’s (or foreign equivalent) with 5 years post-bachelor’s progressive related experience.
•2 years of experience using SQL queries and data visualization tools to gather, process, visualize, and analyze data to detect trends and anomalies.
•2 years of experience analyzing anomalies using Python and statistical analysis techniques.
•2 years of experience developing machine learning models in Python and providing data-driven insights and recommendations based on model performance and business requirements.
•2 years of experience designing, maintaining, and optimizing reporting dashboards and data pipelines, including analyzing metric movements to identify drivers and derive insights.

Experience:2-5 years

Education:Master's

Skills:CollaborationStakeholder management

Tech Stack:SQLPythonMachine learningData visualizationA/B testingClassification algorithmsRegression algorithmsReporting dashboardsData pipelines

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn