90 Ofertas de Especialista de Datos en Buenos Aires

Overview

We help the world run better ABOUT SAP SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.Purpose and Objectives :Meet the Team : For the CTO of SAP’s AI organization, we are searching for an AI Scientist Chief Expert on Foundation Models and Generative AI.

What you’ll do :Expectations and Tasks As a Chief Expert on Foundation Models and Generative AI, you will report to CTO of the AI Unit and will be responsible for the following key tasks: - Drive the strategic development for Foundation Models and Generative AI, in particular Large Language Models (LLMs) - Understand the business value for Foundation Models and Generative AI at SAP by working together with business experts to design and deliver use cases. - Design and set up environment and infrastructure for fast evaluation, development, and deployment of Generative AI use cases. - Engage and interact with leaders in R&D on Generative AI to stay current with latest innovations. - Identify technology partners and drive cooperation strategy

What you Bring :Education and Qualifications I Skills and Competences - PhD or master’s degree in computer science, artificial intelligence, or other relevant discipline - Profound knowledge of Foundation Models, in particular LLMs, as well as AI technologies more broadly - Experience in transforming innovation and research into enterprise-grade technology - Experience with LLM frameworks to support training and inference - Experience in LLM distillation and compression for low latency and resource usage in applied business environments - Strong leadership and strategic thinking skills - Excellent problem solving, communication, and presentation skills to work effectively with business and technology teams - Fluent spoken and written communication skills in English and German - Confident personality who likes to take the initiative to drive a topic and with the ability to work in a fast-paced, agile, and international environment - Entrepreneurial, a business- driven mindset.

Work Experience - At least +8-10 years of professional experience in artificial intelligence, computer science - Professional experience in leading teams of experts - Publication and thought leadership record in the field of artificial intelligence - Demonstrable track record in developing AI methods in an enterprise setting

We build breakthroughs together We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.

EOE AA M/F/Vet/Disability : Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Executive | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Advanced Data Science Associate What You’ll Do

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate.
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.

• A master’s degree in computer science, Statistics, or a relevant field.
• A robust academic performance history with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop ecosystem, Amazon Web Services or database systems.
• Fluency in English.

ZS is committed to a Flexible and Connected way of working. ZSers are on-site at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:

Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

Overview

Join to apply for the Data Science Team Leader role at dLocal

2 days ago Be among the first 25 applicants

Join to apply for the Data Science Team Leader role at dLocal

Why should you join dLocal?
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

As our Data Science Team Leader, you'll be in charge of leading a data science team and the models, analyses, and data products that team owns. Your team will build high-impact, scalable, production-grade machine learning models and data solutions. You will be leading a talented data science team that works on mission-critical business problems with big customers like Netflix, Amazon, Nike, Facebook & more! The different members of the team will report directly to you, and you will be involved in helping develop their careers within the company.

What will I be doing?

• Lead week-to-week project planning for your team and maintain accountability for deliverables
• As a technical lead, dedicate time to mentoring and managing your team members
• Drive the analytical and modeling direction in projects to meet accuracy, scalability, and business impact requirements
• Be hands-on with projects, performing data analysis, modeling, and coding; serve as the senior authority in data science methodologies, statistical analysis, and machine learning implementation
• Hire for your team
• Communicate insights, project status, and planning between other teams and business stakeholders

• Proven hands-on experience as a Data Scientist with a track record of delivering impactful projects
• Strong Python experience for data analysis and machine learning; familiarity with libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch, PySpark)
• Experience building and deploying scalable machine learning models into production
• Experience leading remote data science or analytics teams
• Excellent written and verbal communication, especially translating complex findings to non-technical stakeholders
• Ability to write documentation for models, data sources, and experimental results
• Self-starter with the ability to identify business opportunities, formulate a data-driven approach, and implement it
• Design and implement the architecture of your team’s data products and modeling pipelines
• Ensure analytics stack is designed for speed, scalability, and reproducibility
• Strong understanding of statistical analysis, ML algorithms, and experimental design (e.g., A/B testing)
• Experience deploying models as services (APIs, containers like Docker)
• Expert knowledge of SQL and Relational Databases
• Experience with model validation, data quality assurance, and MLOps principles
• Proficient with code versioning tools (Git)
• Written and spoken English
• Team player; AWS knowledge is a strong plus

• Remote work: work from anywhere or one of our offices around the globe
• Flexibility: flexible schedules driven by performance
• Fintech industry: dynamic environment that boosts creativity
• Referral bonus program: internal referrals encouraged
• Learning & development: Premium Coursera subscription
• Language classes: free English, Spanish, or Portuguese classes
• Social budget: monthly budget to socialize with your team
• dLocal Houses: opportunity to work from a different location for a week with the team

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible; you will hear from us and we will review your CV and keep you posted by email at every step of the process.

Overview

Join to apply for the Data Science Team Leader role at dLocal

2 days ago Be among the first 25 applicants

Join to apply for the Data Science Team Leader role at dLocal

Why should you join dLocal?
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

As our Data Science Team Leader, you'll be in charge of leading a data science team and the models, analyses, and data products that team owns. Your team will build high-impact, scalable, production-grade machine learning models and data solutions. You will be leading a talented data science team that works on mission-critical business problems with big customers like Netflix, Amazon, Nike, Facebook & more! The different members of the team will report directly to you, and you will be involved in helping develop their careers within the company.

What will I be doing?

• Lead week-to-week project planning for your team and maintain accountability for deliverables
• As a technical lead, dedicate time to mentoring and managing your team members
• Drive the analytical and modeling direction in projects to meet accuracy, scalability, and business impact requirements
• Be hands-on with projects, performing data analysis, modeling, and coding; serve as the senior authority in data science methodologies, statistical analysis, and machine learning implementation
• Hire for your team
• Communicate insights, project status, and planning between other teams and business stakeholders

• Proven hands-on experience as a Data Scientist with a track record of delivering impactful projects
• Strong Python experience for data analysis and machine learning; familiarity with libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch, PySpark)
• Experience building and deploying scalable machine learning models into production
• Experience leading remote data science or analytics teams
• Excellent written and verbal communication, especially translating complex findings to non-technical stakeholders
• Ability to write documentation for models, data sources, and experimental results
• Self-starter with the ability to identify business opportunities, formulate a data-driven approach, and implement it
• Design and implement the architecture of your team’s data products and modeling pipelines
• Ensure analytics stack is designed for speed, scalability, and reproducibility
• Strong understanding of statistical analysis, ML algorithms, and experimental design (e.g., A/B testing)
• Experience deploying models as services (APIs, containers like Docker)
• Expert knowledge of SQL and Relational Databases
• Experience with model validation, data quality assurance, and MLOps principles
• Proficient with code versioning tools (Git)
• Written and spoken English
• Team player; AWS knowledge is a strong plus

• Remote work: work from anywhere or one of our offices around the globe
• Flexibility: flexible schedules driven by performance
• Fintech industry: dynamic environment that boosts creativity
• Referral bonus program: internal referrals encouraged
• Learning & development: Premium Coursera subscription
• Language classes: free English, Spanish, or Portuguese classes
• Social budget: monthly budget to socialize with your team
• dLocal Houses: opportunity to work from a different location for a week with the team

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible; you will hear from us and we will review your CV and keep you posted by email at every step of the process.

Overview

Join to apply for the Data Science Team Leader role at dLocal

2 days ago Be among the first 25 applicants

Join to apply for the Data Science Team Leader role at dLocal

Why should you join dLocal?
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

As our Data Science Team Leader, you'll be in charge of leading a data science team and the models, analyses, and data products that team owns. Your team will build high-impact, scalable, production-grade machine learning models and data solutions. You will be leading a talented data science team that works on mission-critical business problems with big customers like Netflix, Amazon, Nike, Facebook & more! The different members of the team will report directly to you, and you will be involved in helping develop their careers within the company.

What will I be doing?

• Lead week-to-week project planning for your team and maintain accountability for deliverables
• As a technical lead, dedicate time to mentoring and managing your team members
• Drive the analytical and modeling direction in projects to meet accuracy, scalability, and business impact requirements
• Be hands-on with projects, performing data analysis, modeling, and coding; serve as the senior authority in data science methodologies, statistical analysis, and machine learning implementation
• Hire for your team
• Communicate insights, project status, and planning between other teams and business stakeholders

• Proven hands-on experience as a Data Scientist with a track record of delivering impactful projects
• Strong Python experience for data analysis and machine learning; familiarity with libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch, PySpark)
• Experience building and deploying scalable machine learning models into production
• Experience leading remote data science or analytics teams
• Excellent written and verbal communication, especially translating complex findings to non-technical stakeholders
• Ability to write documentation for models, data sources, and experimental results
• Self-starter with the ability to identify business opportunities, formulate a data-driven approach, and implement it
• Design and implement the architecture of your team’s data products and modeling pipelines
• Ensure analytics stack is designed for speed, scalability, and reproducibility
• Strong understanding of statistical analysis, ML algorithms, and experimental design (e.g., A/B testing)
• Experience deploying models as services (APIs, containers like Docker)
• Expert knowledge of SQL and Relational Databases
• Experience with model validation, data quality assurance, and MLOps principles
• Proficient with code versioning tools (Git)
• Written and spoken English
• Team player; AWS knowledge is a strong plus

• Remote work: work from anywhere or one of our offices around the globe
• Flexibility: flexible schedules driven by performance
• Fintech industry: dynamic environment that boosts creativity
• Referral bonus program: internal referrals encouraged
• Learning & development: Premium Coursera subscription
• Language classes: free English, Spanish, or Portuguese classes
• Social budget: monthly budget to socialize with your team
• dLocal Houses: opportunity to work from a different location for a week with the team

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible; you will hear from us and we will review your CV and keep you posted by email at every step of the process.