Senior Ml Ops Architect — Remote, High-Impact

Tyk

Santa Fe Capital

Remote

ARS 128,737,000 - 189,319,000

Full time

2 days ago

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Job summary

Bayer is seeking a Machine Learning Analyst to join our Research and Impact Acceleration team. The role focuses on defining and executing a vision to accelerate learning, evidence quality, and iteration in the early breeding pipeline, delivering faster, higher-quality product insights for growers and customers worldwide.

You will collaborate across genomics, phenotyping, predictive analytics, automation, and digital workflows while shaping technology agendas and global strategies to sustain

Job description

Machine Learning Analyst | 100% Remoto | LATAM

What do we offer?

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Research and Impact Acceleration

Research and Impact Acceleration (m/f/d)

The incumbent for this position may be based in the United States (US), Germany. Bayer Talent Acquisition is accepting applications for these locations under one global job posting which follows each country's individual employment laws. As such, applicants should expect to experience differences in the application process which are unique from a single country posting.

As the Research and Impact Acceleration Lead, you are part of the Product Design Capability Center and report to the Head of Product Design. In this role, you define and lead the vision, strategy, and multi-year plan for accelerating research and impact across the team through improvements in germplasm improvement units. You mobilize the organization to turn speed of learning, evidence quality, and iteration capacity into a durable competitive advantage in how the early part of the breeding pipeline operates, ensuring that innovation translates into faster, higher-quality product delivery for growers and customers worldwide.

YOUR TASKS AND RESPONSIBILITIES

Define the vision and multi-year strategy for research acceleration across the early breeding pipeline, framing where faster learning creates durable competitive advantage and translating this into a prioritized portfolio against the highest-value constraints in cycle time, genetic gain, decision quality, and product delivery;
Establish how the organization formulates and answers research questions by setting standards for hypothesis-driven design, decision-ready evidence, and disciplined scale, pivot, or stop decisions so that rapid iteration becomes the default operating rhythm rather than a collection of individual projects;
Shape the enabling-technology agenda across accelerated breeding, genomics, phenotyping, predictive analytics, automation, and digital workflows, directing investment and partnerships toward the capabilities that will differentiate the pipeline;
Lead the adoption strategy that institutionalizes proven innovation, governing the standards, workflows, training, and change management required to embed new practices across crops and regions at scale;
Own the impact narrative and its metrics by defining how acceleration value is measured and reported on cycle time, genetic gain, cost, quality, and adoption, and using that evidence to steer investment, leadership decisions, and the Long-Range Plan;
Provide technical, strategic, and product knowledge to the Capability Center, strategically contributing to key global Precision Breeding, Breeding, and R&D focus areas;
Lead and contribute to Global Breeding strategies and the Long-Range Plan (LRP), ensuring alignment with high-level functional and commercial goals;
Engage strategically with key universities to coach and guide future talent development, ensuring Bayer is viewed as a strategic talent destination of choice;
Serve as a member of various L3 leadership units across commercial and product supply teams, helping connect research acceleration with downstream product and supply decisions;
Ensure a strong focus on HS&E, Compliance, DEI, Business Conduct, and Human Rights across the Capability Hub, fostering a culture that emphasizes ethical practices, safety, inclusion, and responsibility.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

PhD degree or MS degree in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or a related field
Strong knowledge of advanced breeding technologies, advanced analytics and information technologies, genomics, and/or quantitative genetics, with a proven track record of driving innovation into applied pipelines;
Strong ability to collaborate and build cross-functional partnerships to solve complex business and technical problems across regions and functions;
Demonstrated ability to embrace and role-model VACC leadership attributes, aligned with Bayer's Values, Ambition, Collaboration, and Creativity expectations, within the Capability Center and with peers and colleagues across Bayer Crop Science.

Preferred Qualifications

5+ years of technology leadership experience, or MS degree with 8+ years of technology leadership experience;
Experience leading research acceleration, precision breeding, or early pipeline innovation initiatives in a global R&D environment;
Experience working within large, matrixed organizations and contributing to cross-functional strategies that span R&D, product design, and commercial teams;
Proven ability to influence senior stakeholders and drive adoption of new ways of working across diverse teams and geographies;
Strong communication skills with the ability to translate complex scientific and strategic concepts into clear, decision-ready insights for leadership and partners.

Listed below are aspects of the application process which may be present to maintain job posting compliance in the multiple countries which this position is posted.

United States

In the US, employees can expect to be paid a salary between ($ to $ ). This range reflects the national US market rate ("salary range") for base pay for the relevant role. Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

Germany

All applicants who apply to a posting which can be located in Germany are given the option to disclose if they have a severe disability as certified by German authorities. This is a voluntary question, and applicants are given the option to answer as not applicable if they prefer not to disclose.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.

Bayer is an E-Verify Employer.

Division: Crop Science

Reference Code:

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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.

About Us

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

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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