Academic Content Developer - Llm Fine-Tuning And Alignment Engineer

Jalasoft

Buenos Aires

A distancia

ARS 129.463.000 - 182.771.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

10 days PTO
USA Holidays
100% remote work

Descripción de la vacante

Jalasoft is seeking a Data Analyst (Machine Learning) for a 100% remote LATAM role. You will work with large consumer and retail datasets, translating data into actionable metrics and clear summaries for stakeholders in English. The ideal candidate combines SQL, Python, and ML basics, with strong attention to detail.

The position welcomes candidates from entry to mid-level, with opportunities to deepen data manipulation skills and collaborate with international teams.

Formación

  • 0–4 years of Data Analysis or similar roles; entry accepted with coursework or internships.
  • Advanced English (written and spoken).
  • Foundational to intermediate SQL with JOINs, aggregations, and CASE WHEN.
  • Python for data cleaning and processing with pandas.
  • Familiarity with scikit-learn or statsmodels for predictive modeling.
  • Experience handling messy text fields and relational DB design basics.
  • Bachelor's degree in a quantitative field with relevant coursework.

Responsabilidades

  • Write, optimize, and run SQL queries to extract data from databases and cloud warehouses.
  • Develop and validate machine learning or statistical models to forecast trends and behaviors.
  • Slice and aggregate data to compute metrics like market share and purchasing trends.
  • Build and maintain data tables and dashboards for stakeholders.
  • Audit query outputs and ensure data quality before insights are shared.
  • Segment data using conditional logic and transform unstructured text data.
  • Translate technical results into clear summaries for English-speaking stakeholders.

Conocimientos

SQL
Python
Pandas
English

Educación

Bachelor's degree in Business Analytics/Statistics/CS/Economics

Herramientas

Snowflake
BigQuery
Redshift
Cloud data warehouses

Descripción del empleo

Machine Learning Analyst | 100% Remoto | LATAM

We are looking for a Data Analyst (Machine Learning) to join our client's global team.

This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.

The ideal candidate combines solid SQL and Python skills, a strong "numbers sense", attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English. The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.

What You Will Do
  • Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.

  • Develop, run, and validate machine learning, predictive, or statistical matching models to uncover deeper consumer behaviors and forecast trends.

  • Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.

  • Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.

  • Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.

  • Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.

  • Clean, parse, and categorize unstructured or semi-structured text data.

  • Translate technical data structures and query results into clear written summaries, bullet points, or data tables for stakeholders in English‑speaking environments.

Requirements
  • 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles. Entry-level candidates with strong relevant coursework, personal data projects, or internships are welcome, as well as mid-level professionals with a proven track record of querying databases to drive business insights.

  • Advanced English level (written and spoken).

  • Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.

  • Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.

  • Familiarity with modeling libraries such as scikit‑learn or statsmodels to build and evaluate predictive or statistical matching models.

  • Experience working with messy text fields: cleaning, parsing, filtering, and pattern matching within string variables.

  • Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.

  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.

Nice to Have
  • Experience working with consumer, retail, panel, or transactional datasets.

  • Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

  • Exposure to marketing analytics, consumer insights, or market measurement environments.

  • Experience building data tables or views that feed dashboards and recurring reports.

Why Join Us?

10 days of PTO to recharge wherever you choose.
Enjoy USA Holidays.
100% remote work—design the work-life balance that fits you best.
Work with real consumer and market data that influences strategic business decisions.
Collaborate with international teams and stakeholders.
Develop your expertise in SQL, Python, and machine learning while working on impactful projects.

Cordoba, Argentina
Full time
R14759

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