Applaudo Studios
More roles at Applaudo StudiosSr. Applied Data Scientist
Remote role where the employee must remain based in a particular country.
Peru only
From the listing details: Source listing states candidate location: "Lima, Callao Region, Peru, Lima, Callao Region, pe, Remote"
Employer listed it 12 days ago 路 Added 10 days ago
First listed 12 days ago and still open.
Salary
Not stated
Location
Peru only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Peru. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Lima, Callao Region, Peru, Lima, Callao Region, pe, Remote"
What Nomaders makes of it
- Residency required in Peru
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About You
You are an experienced Data Scientist with strong applied Machine Learning expertise and a track record of building and evaluating models using real-world, messy, large-scale data. You are comfortable working with embeddings, semantic similarity, LLMs, NLP, classification, and both supervised and unsupervised learning. You approach ambiguous problems through structured experimentation, clearly defined hypotheses, baselines, metrics, and error analysis.
You are highly autonomous, intellectually honest about experimental results, and able to clearly communicate technical recommendations and trade-offs to engineering and business stakeholders.
You Bring to Applaudo the Following Competencies
5+ years of professional Data Science / Machine Learning experience.
Strong applied Machine Learning fundamentals.
Excellent Python and SQL skills.
Hands-on experience with embeddings and semantic similarity.
Practical experience applying LLMs to real-world problems.
Experience with supervised and unsupervised learning.
Strong experience with classification and NLP.
Working knowledge of neural networks and transformer architectures.
Hands-on experience with TensorFlow, PyTorch, PyCaret, or equivalent ML frameworks.
Experience retraining or maintaining classification models in production.
Strong experimental design and model evaluation skills.
Experience defining baselines, metrics, test sets, and error-analysis processes.
Ability to evaluate model quality and demonstrate measurable improvements.
Strong understanding of scalability and ML inference costs.
Strong English communication skills.
Nice-to-Have
Entity resolution, record linkage, or deduplication experience.
Ranking and similarity scoring.
Retrieval, clustering, or candidate-generation techniques.
LLM/embedding solutions designed for cost and scale constraints.
Requirements
- 路You are highly autonomous, intellectually honest about experimental results, and able to clearly communicate technical recommendations and trade-offs to engineering and business stakeholders.
- 路You Bring to Applaudo the Following Competencies
- 路5+ years of professional Data Science / Machine Learning experience.
- 路Strong applied Machine Learning fundamentals.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Applaudo Studios, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated 路 You'll be taken to the employer's careers page.