08 nov
|
Remote Jobs
|
Santa Fe
08 nov
Remote Jobs
Santa Fe
Machine Learning Analyst | 100% Remoto | LATAM
What do we offer?
**Requisition ID: **
Relocation Authorized:
Telework Type: Full-Time Office/Project
Work Location: San Juan, AR
Extraordinary teams building inspiring projects:
Since ****, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact.
We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets.
Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments .
They are what we believe, what customers can expect, and how we deliver.
Learn more about our extraordinary teams building inspiring projects in our Impact Report .
Country Overview:
**Argentina: Building Our Presence**
Bechtel is building a strong local organization in Argentina, partnering with industry, government, suppliers, and communities to support our customers and projects.
We're bringing global expertise to develop local talent, strengthen regional capabilities, and deliver lasting value - establishing a trusted, long-term presence that supports sustainable growth and positions Argentina as a cornerstone market for mining, energy, and infrastructure development.
Job Summary:
In this role, the PD&P; designer will be responsible for developing and coordinating multidisciplinary 3D plant models, equipment arrangements / layouts in accordance with project requirements and instructions provided by the Engineering Group Supervisor (EGS).
The position requires a strong background in plant layout design, including equipment arrangement and layout development, with demonstrated proficiency in 3D plant modeling software, preferably Smart 3D (S3D).
The designer will collaborate closely with other designers and engineers to ensure design integrity, interdisciplinary coordination, constructability, maintainability, and operability, while ensuring compliance with project specifications, applicable codes and standards, and established design criteria.
The position requires the ability to independently execute assigned design activities with minimal supervision, exercise sound technical judgment within the scope of the discipline and provide technical support to other designers as required.
The level of responsibility, complexity of assignments, and degree of autonomy will be consistent with the designer's grade, experience, and demonstrated capabilities.
Major Responsibilities:
Developing and maintaining 3D models, equipment layouts, plant arrangements preferably using Smart 3D (S3D).
Preparing drawings/documents such as General Arrangements and Section/Elevations drawings.
Extracting, preparing, and updating 2D drawings from the 3D model, sections, orthographic drawings.
Assisting with coordination of the 3D model activities, i.e., input, interference reconciliation, etc. with other physical related disciplines.
Coordinating and interfacing as directed with the day-to-day technical work of PD&P; engineers & designers
Participating in design reviews within PD&P; design team/or client team.
Ensuring PD&P; systems design comply with all applicable installation codes, and standards.
Organizing and executing assigned tasks to meet project schedules, quality requirements, and established deliverable milestones.
Identifying potential design issues and communicate them promptly to the supervisor or responsible engineer for resolution.
Grade 25
Performs assigned plant design activities with increasing independence, applying established design procedures, project standards, and supervisor instructions.
Coordinates with other disciplines, produces accurate models and drawings, and seek guidance when addressing complex technical issues or nonstandard design situations.
Grade 26
Perform more complex plant layouts design with a higher degree of autonomy.
Take greater responsibility for the quality and coordination of assigned model areas or systems, proactively identify and resolve design interferences, support design reviews, and provide technical guidance to less experienced designers.
Coordinate more complex interfaces and elevate issues requiring engineering decisions or changes to established design criteria.
Education and Experience Requirements
Requires technical education or a diploma in Mechanical Design, Industrial Design, Piping Design, or a related technical discipline is preferred.
Equivalent relevant education, training, and practical experience may be considered.
Grade 25
Typically 8-12 years of relevant experience in plant design and piping layout for industrial, mining, mineral processing, or other process facilities.
Experience in 3D plant modeling, preferably using Smart 3D (S3D)
Grade 26
Typically 12+ years of relevant experience in plant design and piping layout for industrial, mining, mineral processing, or other process facilities.
Demonstrated proficiency in 3D plant modeling, preferably using Smart 3D (S3D).
Required Knowledge and Skills
Proficiency using 3D layout / Piping design modules, preferably S3D.
Proficiency in generating plant layout deliverables from 3D models, including orthographic drawings, general arrangement and model-based design documentation.
Proficiency using 2D drafting tools for the development of plant layout deliverables.
Intermediate English level (desirable).
Total Rewards/Benefits
For decades, Bechtel has worked to inspire the next generation of engineers and beyond!
Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive.
Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth.
Learn more at Bechtel Total Rewards .
Diverse teams build the extraordinary
As a general company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences.
This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably.
Click here to learn more about the people who power our legacy.
**_Bechtel is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law._**
**_Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to_** ** ** **_._**
Data Analyst (Machine Learning)
Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.
We have partnered with a U.S.-based company specialized in marketing effectiveness measurement.
They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.
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.
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