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 ML models, rules, and predictive algorithms to extract business insights from large-scale raw data. Analyze trends and anomalies using probability and statistical methods, develop classification/regression models in Python, and communicate results through data visualization. Design and analyze A/B experiments, define marketing measurement frameworks, and create audience targeting strategies. Collaborate cross-functionally with data engineers and domain experts to improve marketing precision and drive decisions using data-driven recommendations.

Location: New York

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build rules, algorithms, and machine learning models to extract business insights from raw data.
•Analyze large datasets to identify trends and patterns using probability and statistical analysis, and automate data collection.
•Develop predictive models and classification/regression algorithms using machine learning techniques.
•Present findings using data visualization; define and implement marketing measurement frameworks and audience targeting strategies.
•Design, conduct, and analyze A/B experiments and provide data-driven recommendations to improve campaign effectiveness and business outcomes.

Travel: Low travel

Pay and Benefits

Salary: USD 169,541 - 240,000 annually

Key Requirements

•Master’s degree (or foreign equivalent) in a quantitative field such as Computer Science, Engineering, Data Science, Analytics, Statistics, Mathematics, or Finance, plus 2 years of related experience; OR Bachelor’s degree plus 5 years of related experience.
•2 years of experience using SQL and data visualization tools to gather, process, visualize, and analyze data for trends and anomalies.
•2 years of experience analyzing data anomalies using Python and statistical techniques.
•2 years of experience developing machine learning models in Python.
•Experience designing, maintaining, and optimizing reporting dashboards and data pipelines, and analyzing metric movements to identify drivers and derive insights.

Experience:2+ years

Education:Master's in Computer Science, Engineering, Information Systems, Data Science, Analytics, Statistics, Mathematics, Finance or a related quantitative field

Skills:CollaborationData-driven decision-makingStakeholder influenceProblem-solvingCommunication

Tech Stack:SQLPythonMachine learningData visualizationA/B testingData pipelinesReporting dashboards

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: New York

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build rules, algorithms, and machine learning models to extract business insights from raw data.
•Analyze large datasets to identify trends and patterns using probability and statistical analysis, and automate data collection.
•Develop predictive models and classification/regression algorithms using machine learning techniques.
•Present findings using data visualization; define and implement marketing measurement frameworks and audience targeting strategies.
•Design, conduct, and analyze A/B experiments and provide data-driven recommendations to improve campaign effectiveness and business outcomes.

Travel: Low travel

Pay and Benefits

Salary: USD 169,541 - 240,000 annually

Key Requirements

•Master’s degree (or foreign equivalent) in a quantitative field such as Computer Science, Engineering, Data Science, Analytics, Statistics, Mathematics, or Finance, plus 2 years of related experience; OR Bachelor’s degree plus 5 years of related experience.
•2 years of experience using SQL and data visualization tools to gather, process, visualize, and analyze data for trends and anomalies.
•2 years of experience analyzing data anomalies using Python and statistical techniques.
•2 years of experience developing machine learning models in Python.
•Experience designing, maintaining, and optimizing reporting dashboards and data pipelines, and analyzing metric movements to identify drivers and derive insights.

Experience:2+ years

Education:Master's in Computer Science, Engineering, Information Systems, Data Science, Analytics, Statistics, Mathematics, Finance or a related quantitative field

Skills:CollaborationData-driven decision-makingStakeholder influenceProblem-solvingCommunication

Tech Stack:SQLPythonMachine learningData visualizationA/B testingData pipelinesReporting dashboards

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn