A good data scientist closes the loop between data and decisions: framing the question, building the model and proving it moves a metric. NearSmarter's data scientists pair statistical rigor with engineering discipline, so their work ships instead of staying in a notebook.
What our Data Science engineers bring
- Statistics, experimentation and causal inference
- Python (pandas, scikit-learn, statsmodels) and SQL
- Machine learning — modeling, evaluation and feature engineering
- A/B testing and experiment design
- Visualization and stakeholder communication
- Productionizing models with the data/ML team
Sample profiles
Representative of the engineers in our vetted Data Science pool.
Senior
8 yrs · Medellín, CO
Senior
6 yrs · São Paulo, BR
Mid-Senior
5 yrs · Guadalajara, MX
Why hire Data Science developers through NearSmarter
Decisions, not just dashboards
Scientists who tie analysis to business outcomes.
Rigor + pragmatism
Statistical depth with the discipline to ship.
Your time zone
Live collaboration with product and data teams.
What does it cost to hire a Data Science developer?
US in-house (all-in)
$16k–22k
per month
NearSmarter nearshore
$7.5k–11k
per month · save 45–60%
All-in cost including benefits, equipment and our service fee.
Get a precise estimate for your roleHow hiring works
1 · Define the brief
A solutions engineer scopes the role with you — stack, seniority, time-zone overlap and team-fit signals — in a single 30-minute call.
2 · AI-assisted shortlist
Our matching engine ranks our vetted talent pool against your brief; a senior recruiter reviews every candidate before they reach you.
3 · You interview the top 3–5
We schedule the interviews, prep the candidates and debrief afterwards. You only spend time on engineers who clear our bar.
4 · Start in days, not months
We handle contracts, equipment, payroll, benefits and compliance across 10+ LATAM countries. Your engineer joins your standup within the week.
Frequently asked questions
What's the difference between a data scientist, data engineer and ML engineer?
A data scientist frames questions and builds models/analyses to drive decisions; a data engineer builds the pipelines and infrastructure that feed them; an ML engineer productionizes and serves models at scale. Many teams need a mix — we can advise on the right first hire.
What does a nearshore data scientist cost?
Typically $7,500–11,000/month all-in through NearSmarter — around 45–60% less than an equivalent US in-house hire.