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Hire vetted Applied Data Scientists who drive decisions with experimentation, causal analysis and deployable models. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
Data Scientist
AI & Data
AvailabilityShortlist in 48 h
Vetted Data Scientist profiles free to start within 4 working days of signature. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
Indicative monthly rate per seat
| Level | Experience |
|---|---|
| Mid | 2–5 years |
| Senior | 5–9 years |
| Lead | 9+ years |
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Remote Pro Ai offers vetted Applied Data Scientists who drive decisions with experimentation, causal analysis and deployable models. They design experiments and uplift models, apply statistics rigorously from power analysis to bias correction, and explain results in language executives act on.
Your Data Scientist designs experiments, uplift models and causal-inference studies, and partners with engineering to productionise notebooks into services. Typical stack: Python, R, SQL, scikit-learn and statsmodels.
Demand for generalist data scientists has flattened, while demand for applied scientists who prove impact keeps growing. Leadership teams want to know which price change, retention offer or risk rule actually moved revenue. That takes causal methods and clean experiments rather than another dashboard, and it is the profile we vet for.
Remote Pro Ai team members in this role or its practice: identity verified and under contract. Open a profile for their experience, projects and skills.
Senior · Data Scientist (Applied)
Identity verifiedView profile: Esraa Ahmed
Mid · Data Scientist (Applied)
Identity verifiedView profile: Mahmoud Salama
Senior · Analytics Engineer
Identity verifiedView profile: Islam Shoier
Designs experiments, uplift models and causal-inference studies
Builds interpretable models with clear business narratives for executives
Partners with engineering to productionise notebooks into services
Applies statistics rigorously: power, confidence, bias correction
Communicates insight through executive-grade storytelling
Toolset on our bench
We test each capability in a live technical assessment scored by a practice lead. Nothing on this list is taken from a CV.
Mid2–5 years
Delivers well-scoped work independently within your architecture and standards.
Senior5–9 years
Owns a component or workstream end to end, reviews code and mentors.
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
No single certification defines this role, so we test the work itself: a live technical assessment scored by a practice lead, plus references from shipped projects.
Remote Pro Ai information security: ISO/IEC 27001 certification in progress (target Q2 2027) · SOC 2 Type II planned for 2027. Evidence and policies are in the Trust Center.
Not sure this is the right role? Describe the outcome you need and the Squad Builder maps it to roles, levels and a draft squad in minutes.
A transport operator, Dubai
smart-mobility data platform
7 engineers · 10 months
Real-time sensor ingestion, streaming analytics, operations dashboards and an open-data API in a UAE cloud region
MatchIQ™ is our vetting and matching engine: 3.4% of applicants pass 5 gates. The live assessment for this role tests the 5 capabilities above against a realistic task.
Self-serve bookings receive a shortlist within 48 hours and enterprise requests get named candidates within 72 hours. After you approve a profile and sign, your specialist is working within 4 working days, whether the request is on the bench, off-bench or on-site. When fewer than 5 Data Scientist profiles are on the bench, we shortlist from the wider vetted network in the same 48 hours.
Pricing is quotation-based and depends on level, hours and any on-site, clearance or data-residency needs. Current bands: Mid · Senior · Lead — Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.. VAT is shown separately, quotes can be viewed in SAR, AED, USD or EUR, and every quotation is valid for 30 days. The Squad Builder sends your itemised quote by email within 2 minutes.
Remote Pro Ai is contractually responsible for quality. Raise it at any time: a replacement starts within 4 working days; the full handover completes in under 14 days. Your first engagement also begins with a no-bill trial, one per company: 5 working days on self-serve bookings and 10 on enterprise contracts.
This role is offered at Mid, Senior and Lead level. We never place junior profiles. A practice lead confirms each specialist’s level through a live technical assessment and reference checks, so the band on your quotation reflects scope the person has already delivered rather than a job title on a CV.
It means decision-focused work that ends in a change to price, policy or product. Our applied data scientists design experiments, build interpretable models and quantify impact, then partner with engineers to turn notebooks into services. Open-ended research and dashboards without a decision attached are not the focus.
Yes. When randomised tests are impossible, they use causal methods such as difference-in-differences, synthetic controls or uplift modelling, and state the assumptions behind each estimate. You receive an effect size with confidence intervals and an honest view of what the data can and cannot support.
Python and R with scikit-learn and statsmodels for modelling, SQL for data access, Databricks for scale, and Power BI or Tableau for executive communication. They work inside your existing data platform rather than asking for a separate environment, which keeps governance and access control simple.
An Analytics Engineer builds the trusted, tested datasets and metric definitions everyone uses. A Data Scientist uses that foundation to run experiments, model behaviour and answer causal questions. Without the first, the second spends most of the week cleaning data, which is why strong teams usually hire both.
Add this role to a squad, get your quote by email, and hold profiles free for 72 hours.
Build your squad online
No card needed · 72 h free hold · No-bill trial: 5 working days self-serve, 10 in the Enterprise lane.
20 minutes with an Account Director
No sales script.