Machine Learning Analyst | 100% Remoto | LATAMWhat do we offer?
Company Overview:Flowserve is a global manufacturer of pumps, valves, seals, and aftermarket services, delivering comprehensive flow control solutions that support essential industries such as energy, clean water, and pharmaceuticals.
If you're looking for a culture built on ingenuity, innovation, and excellence, Flowserve offers the opportunity to put your experience in motion.
Whether you're an individual contributor or a people leader, you'll find meaningful opportunities for professional growth, competitive rewards, and a workplace grounded in our core values: People, Safety, Integrity, Ownership and Ingenuity.
At Flowserve, we're inspired by what we can achieve together-creating extraordinary flow control solutions that strengthen today's world while building tomorrow.Role SummaryProduction Supervisors direct activities within the operations team as it relates to production and quality.
These highly motivated individuals ensure efficient production while promoting and working safely within established policies and procedures.Responsibilities & RequirementsBasic knowledge of CNC programming.Knowledge of lean manufacturing tools (AMEF, VSM, 6's, SMED, etc).
Statistical control of the process.Production planning in different work centers.Management of KPIs (utilization, efficiency, productivity, scrap, rework).
Analysis for the solution of problems in lean manufacturing.Excellent knowledge of Excel.Microsoft Project or similar.Knowledge of lean manufacturing tools (AMEF, VSM, 6's, SMED, etc).
Other duties as assigned.Preferred Experience / SkillsMechanical or industrial engineer.Experience with ISO-.
Desirable knowledge of welding standards (AWS, ASME).
BS or BA Degree in relevant field and 5-7 years relevant experience.EOE including Disability/Protected Veterans.
Flowserve will also not discriminate against an applicant or employee for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-workers.
Pay Transparency Nondiscrimination ProvisionIf you are a qualified individual with a disability or a disabled veteran,



you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access flowservecareers.com as result of your disability.
You can request a reasonable accommodation by sending an email to In order to quickly respond to your request, please use the words "Accommodation Request" as your subject line of your email.
For more information, read the Accessibility Process.We are looking for a Data Analyst (Machine Learning) to join our client's global team.This role is adecuado 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 DoWrite, 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.Requirements0 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 HaveExperience 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.
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