Data Scientist
Lima Office · Lima, Peru
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › Server side — team source
Department: Engineering › Server side
From the employer’s posting
What you’ll work on
Full postingAnalyze large data sets using statistical analysis tools and techniques
Build, evaluate and deploy machine learning models
Run and monitor A/B tests
Build and manage APIs
Maintain reliability and performance of data infrastructure and pipelines
From the employer’s posting
Analyze large data sets to get insights using statistical analysis tools and techniques
Build, evaluate and deploy machine learning models
Run and monitor AB Tests
Build and manage APIs
Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Statistics, Math or related field
- 3+ years of professional software writing experience
- Knowledge of AWS and Python
- Strong math/stats background with statistical analysis on big data sets
- Experience with SQL and NoSQL databases such as MongoDB or DynamoDB
Qualification wording
Bachelor's degree in Computer Science, Statistics, Math or related field.
3+ years experience writing software in a professional setting
Knowledge of AWS and Python
Strong Math/Stats background with statistical analysis experience on big data sets
Experience with SQL and NoSQL (e.g. MongoDb or DynamoDB)
Education & alternatives
Qualifications and requirements - Bachelor's degree in Computer Science, Statistics, Math or related field. - 3+ years experience writing software in a professional setting
Tools in this posting
- Python
- SQL
- AWS
- BigQuery
- DynamoDB
- MongoDB
- NoSQL
- Redshift
- Snowflake
- LightGBM
- XGBoost
- scikit-learn
Source — Tool mentions in context
- 3+ years experience writing software in a professional setting - Knowledge of AWS and Python - Strong Math/Stats background with statistical analysis experience on big data sets
- Strong Math/Stats background with statistical analysis experience on big data sets - Experience with SQL and NoSQL (e.g. MongoDb or DynamoDB) - Big Plus: Experience with data warehouses (e.g. Snowflake, Big Query, Redshift)
- Experience with SQL and NoSQL (e.g. MongoDb or DynamoDB) - Big Plus: Experience with data warehouses (e.g. Snowflake, Big Query, Redshift) - Exposure to ML/AI libraries such as sklearn, LightGBM and, XGBoost.
- Big Plus: Experience with data warehouses (e.g. Snowflake, Big Query, Redshift) - Exposure to ML/AI libraries such as sklearn, LightGBM and, XGBoost. - Travel Visa to the US (desired)
Posting record
Report an errorOpen 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 150 days ago
- Recorded sightings
- 55
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Jun 20, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Job description
Haystack News is the leading local & world news service on Connected TVs reaching millions of users! This is a unique opportunity to work at Haystack News, one of the fastest-growing TV startups in the world. We are already preloaded on 37% of all TVs shipped in the US!
Be part of a Silicon Valley startup and work directly with the founding team. Jumpstart your career by working with Stanford & Carnegie Mellon alumni and faculty who have already been part of other successful startups in Silicon Valley.
You should join us if you're hungry to learn how Silicon Valley startups thrive, you like to ship quickly and often, love to solve challenging problems, and like working in small teams.
See Haystack feature at Google IO: https://www.youtube.com/watch?v=-YawUi6qPck
Job functions
We are looking for an outstanding Data Scientist to join Haystack and help improve the experience of millions of users that rely on Haystack to get the news every day.
Within the team you’ll find many opportunities to work on various aspects of Data Science, Machine Learning, and Data Engineering. The job offers the opportunity of generating a major impact on the product while working with an awesome and talented team, using the latest technologies.
You will:
Analyze large data sets to get insights using statistical analysis tools and techniques
Build, evaluate and deploy machine learning models
Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth.
Work with tools to configure, monitor and orchestrate data infrastructure and pipelines.
Run and monitor AB Tests
Build and manage APIs
Qualifications and requirements
Bachelor's degree in Computer Science, Statistics, Math or related field.
3+ years experience writing software in a professional setting
Knowledge of AWS and Python
Strong Math/Stats background with statistical analysis experience on big data sets
Experience with SQL and NoSQL (e.g. MongoDb or DynamoDB)
Big Plus: Experience with data warehouses (e.g. Snowflake, Big Query, Redshift)
Exposure to ML/AI libraries such as sklearn, LightGBM and, XGBoost.
Travel Visa to the US (desired)
Conditions
Uber rides to come to the office!
Travel to team's offsite events
Learn about multiple technologies
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lima, Peru
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Exposure to ML/AI libraries such as sklearn, LightGBM and, XGBoost. - Travel Visa to the US (desired) Conditions
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