Hire Data Scientists | Nearshore Software Development

Data Science is the discipline of using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. You need a data scientist who can not only build complex models but also understand your business and communicate their findings effectively. Our vetting process, powered by Axiom Cortex™, finds data scientists who are a unique blend of statistician, software engineer, and business consultant. We test their ability to frame business problems, analyze data, build models, and tell a compelling story with their results.

Are your data science projects failing to deliver real business impact?

The Problem

Many data science projects end up as interesting but ultimately useless science experiments. They fail because the data scientist didn't fully understand the business problem or couldn't communicate the value of their work.

The TeamStation AI Solution

We vet for data scientists who are focused on business outcomes. They must demonstrate the ability to translate a business problem into a data science problem, and to communicate their results in a clear, compelling way that drives action.

Proof: Business-Focused and Action-Oriented Insights
Is your data science work ad-hoc and not reproducible?

The Problem

If your data science work is a collection of messy notebooks and one-off scripts, it's impossible to reproduce your results, build on your work, or put your models into production.

The TeamStation AI Solution

Our data scientists are proficient in software engineering best practices. They are vetted on their ability to write clean, modular, and version-controlled code, ensuring their work is reproducible, maintainable, and ready for production.

Proof: Reproducible and Production-Ready Data Science

How We Measure Seniority: From L1 to L4 Certified Expert

We don't just match keywords; we measure cognitive ability. Our Axiom Cortex™ engine evaluates every candidate against a 44-point psychometric and technical framework to precisely map their seniority and predict their success on your team. This data-driven approach allows for transparent, value-based pricing.

L1 Proficient

Guided Contributor

Contributes on component-level tasks within the Data Science domain. Foundational knowledge and learning agility are validated.

Evaluation Focus

Axiom Cortex™ validates core competencies via correctness, method clarity, and fluency scoring. We ensure they can reliably execute assigned tasks.

$20 /hour

$3,460/mo · $41,520/yr

± $5 USD

L2 Mid-Level

Independent Feature Owner

Independently ships features and services in the Data Science space, handling ambiguity with minimal supervision.

Evaluation Focus

We assess their mental model accuracy and problem-solving via composite scores and role-level normalization. They can own features end-to-end.

$30 / hour

$5,190/mo · $62,280/yr

± $5 USD

L3 Senior

Leads Complex Projects

Leads cross-component projects, raises standards, and provides mentorship within the Data Science discipline.

Evaluation Focus

Axiom Cortex™ measures their system design skills and architectural instinct specific to the Data Science domain via trait synthesis and semantic alignment scoring. They are force-multipliers.

$40 / hour

$6,920/mo · $83,040/yr

± $5 USD

L4 Expert

Org-Level Architect

Sets architecture and technical strategy for Data Science across teams, solving your most complex business problems.

Evaluation Focus

We validate their ability to make critical trade-offs related to the Data Science domain via utility-optimized decision gates and multi-objective analysis. They drive innovation at an organizational level.

$50 / hour

$8,650/mo · $103,800/yr

± $10 USD

Pricing estimates are calculated using the U.S. standard of 173 workable hours per month, which represents the realistic full-time workload after adjusting for federal holidays, paid time off (PTO), and sick leave.

Core Competencies We Validate for Data Science

Statistical analysis and experimental design
Machine learning modeling (classification, regression, clustering)
Python data science stack (Pandas, NumPy, Scikit-learn)
Data visualization and communication
Framing business problems and delivering insights

Our Technical Analysis for Data Science

The Data Scientist evaluation is a comprehensive assessment of their technical and business skills. Candidates are given a real-world business problem and a dataset, and are required to perform an end-to-end analysis, from data cleaning and exploration to modeling and presenting their findings. A critical assessment is their ability to clearly articulate the business implications of their work. We also test their technical skills in Python, SQL, and machine learning. Finally, we assess their ability to work in a team and to collaborate with engineers and product managers.

Related Specializations

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About TeamStation AI

Learn about our mission to redefine nearshore software development.

Nearshore vs. Offshore

Read our CTO's guide to making the right global talent decision.

Ready to Hire a Data Science Expert?

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