Dedicated data scientists for your offshore team.
Offshore data scientists in Chiang Mai and Bangkok, working full time on your product and managed by us. A data scientist answers business questions with data and states clearly how confident each answer is.
One agreement and one fixed monthly fee, with the people managed and coached by Azendo in Thailand.
This role is part of a dedicated data science team. It's staff augmentation, fully managed: take one role on its own, or the whole area as one delivery team.
One Data Scientist, assigned to your product and fully managed.
We assign a Data Scientist to your team full time and run everything around them: a service delivery manager who oversees delivery, training and coaching, the office and equipment, and HR and payroll. The price below is for a junior Data Scientist; other levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One junior Data Scientist, full time, everything below included. All 27 things included ››
- Data scientist From USD 3,000 per month
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Service
We manage and develop the team
- A service delivery manager who oversees operations and delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every team member
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
What a Data Scientist does on a dedicated data science team.
They work with your product and leadership teams on the questions waiting for an answer, and present results with the confidence stated plainly.
Data Scientist skills and technologies
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Statistical analysis and hypothesis testing against real business questions.
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Designing and reading experiments, including the ones that should be stopped early.
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Predictive modelling where it beats a simpler rule, and the simpler rule where it does not.
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Building the measurement plan before a feature ships, so its impact can be assessed afterwards.
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Challenging metric definitions where two teams are measuring the same thing differently.
Data Scientist seniority levels.
Junior to senior. Being clear about uncertainty is a senior skill, and it matters in this role. It is a reason to consider a senior, and the level counts in how the monthly fee is built.
When your team needs a Data Scientist.
Most useful when the data already exists and decisions are still being made on instinct. Often paired with a data analyst or BI developer in a data science team at Azendo. Companies that hire remote developers for analytics add a data scientist when questions need models and confidence levels.
What we look for in a dedicated Data Scientist.
We look for data scientists who state their confidence as clearly as their result. They should design an experiment properly, know when a simple rule beats a model, and explain findings to people who do not read statistics.
A remote Data Scientist's first three months on your team.
- Weeks 1 to 2Learning your data, metrics and the decisions waiting on analysis.
- Weeks 3 to 6Delivering the first analyses and experiment designs.
- Months 2 to 3Building measurement into how features ship, and predictive models where they pay off.
Questions about adding a Data Scientist to your team.
Will we get a model or an answer?
Whichever the question needs. Many business questions are best answered with analysis and a clear recommendation, and some need a model running in production. The data scientist on your team chooses the right approach, explains the trade-offs and states how confident each answer is, so decisions rest on evidence.
Can you work with our existing analytics team?
Yes, often. Both teams agree who does what before work begins. The data scientist then works in your existing tools, repositories and data platform. Sharing code, definitions and reviews with your analysts keeps one consistent view of the numbers across the business.
Add remote data scientists to your team.
Tell us the decisions waiting on data and what your warehouse holds today. We'll come back with the data scientist profile we'd hire and the monthly fee. The data scientist is hired in four weeks from signing.
Tell us what your data scientist would work on.
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