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Data Scientist

Full-Time Data Scientists from $1,800/month

Find vetted Data Scientists who fit how your team works in just under 2 weeks, and Kuubiik handles the contract, payments, and HR.

★★★★★ Trusted by 500+ fast-growing companies

How much does it cost to outsource a Data Scientist?

Compare monthly outsourcing costs and skill levels across junior, mid-level, and senior Data Scientists.

Junior Data Scientist

1 - 2 years of experience

  • Degree in Statistics, Mathematics, Computer Science, or a related field
  • 1-2 years of experience applying statistical analysis to real-world data
  • Working knowledge of Python or R, and common data science libraries
  • Familiarity with regression, classification, and clustering techniques
  • Experience with data visualisation tools (Tableau, Power BI, or Matplotlib)
  • Eagerness to learn and contribute across data and analytics projects

Southeast Asia

$1,800 - $2,800 /mo

LATAM

$3,500 - $5,000 /mo

USA

$7,500 - $9,500 /mo

Mid-Level Data Scientist

3 - 5 years of experience

  • Degree in a quantitative field; advanced degree is a plus
  • 3+ years of experience building predictive and statistical models
  • Proficient in Python and SQL, with experience in Jupyter or similar environments
  • Strong understanding of A/B testing, experimentation design, and statistical inference
  • Experience communicating findings to both technical and business audiences
  • Ability to work independently on end-to-end data science projects

Southeast Asia

$2,800 - $4,000 /mo

LATAM

$5,000 - $7,000 /mo

USA

$11,000 - $14,000 /mo

Senior Data Scientist

6+ years of experience

  • Advanced degree or equivalent experience in a quantitative field
  • 6+ years of experience delivering data science solutions at scale
  • Deep expertise in statistical modelling, machine learning, and causal inference
  • Proven ability to lead research initiatives and present findings to leadership
  • Experience mentoring junior data scientists and shaping team practices
  • Track record of translating ambiguous business challenges into data-driven answers

Southeast Asia

$4,000 - $5,800 /mo

LATAM

$7,000 - $10,000 /mo

USA

$14,000 - $18,500 /mo

Kuubiik World Map

Data Scientist responsibilities and core areas of work

Statistical Analysis

  • A Data Scientist applies descriptive and inferential statistics to understand patterns and relationships in data.
  • Design and interpret hypothesis tests, confidence intervals, and regression analyses.
  • Validate the statistical assumptions underlying models to ensure reliable outputs.

Predictive Modelling

  • Build supervised and unsupervised models to forecast outcomes and segment populations.
  • Tune model parameters and use cross-validation to optimise predictive performance.
  • Evaluate model results against business objectives and iterate based on feedback.

Data Exploration & Wrangling

  • Source and clean large, messy datasets from multiple systems and formats.
  • Conduct exploratory data analysis to generate hypotheses and flag data quality issues.
  • Engineer features that improve model accuracy and interpretability.

Experimentation & A/B Testing

  • Design controlled experiments to test product changes, campaigns, or operational decisions.
  • Calculate sample sizes, set up measurement frameworks, and analyse experiment results.
  • Provide clear, statistically sound recommendations based on experiment outcomes.

Data Visualisation & Reporting

  • Build clear dashboards and visual reports that communicate insights to non-technical stakeholders.
  • Translate complex analytical findings into plain-language summaries and recommendations.
  • Present work to senior leadership and cross-functional teams with confidence.

Business Collaboration

  • A Data Scientist works alongside product, marketing, and operations teams to define the right questions to answer.
  • Align analytical approaches with business priorities and available data assets.
  • Act as a data advisor, helping teams understand what the numbers actually mean.

Tools & Technology

  • Proficient in Python (Pandas, NumPy, scikit-learn) or R for analysis and modelling.
  • Experienced with SQL for data extraction and transformation across relational databases.
  • Familiar with cloud data platforms (BigQuery, Redshift, Snowflake) and notebook environments.

Finding the right resource has never been more flexible

Related to

Roles

ASIA: From $2,000 - $2,800/month

LATAM: From $3,800 - $5,500/month

AVG. US SALARY: $12,000 - $15,500/month

SAVINGS: 50 - 80%

ASIA: From $1,500 - $2,200/month

LATAM: From $2,800 - $4,200/month

AVG. US SALARY: $8,500 - $11,000/month

SAVINGS: 50 - 80%

ASIA: From $1,500 - $2,200/month

LATAM: From $2,800 - $4,000/month

AVG. US SALARY: $8,000 - $10,500/month

SAVINGS: 50 - 80%

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