111 Ofertas de Deep Learning en Argentina

PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging

Concordia, Entre Ros PhDFinder

Publicado hace 11 días

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University: Concordia University

Country: Canada

Deadline: Not specified

Fields: Computer Science, Electrical Engineering, Biomedical Engineering, Medical Imaging, Artificial Intelligence

Are you passionate about leveraging artificial intelligence to revolutionize healthcare and medical diagnostics? Do you aspire to contribute to groundbreaking research at the intersection of deep learning, generative modeling, and medical imaging? If so, an exceptional opportunity awaits you at Concordia University in Montreal, where you can embark on a fully funded PhD journey under the guidance of internationally recognized experts.

About The University Or Research Institute

Concordia University, located in the vibrant city of Montreal, is one of Canada’s leading research institutions, renowned for its innovation in engineering, computer science, and interdisciplinary research. The university’s Departments of Electrical & Computer Engineering (ECE) and Computer Science & Software Engineering (CSSE) are at the forefront of technological advancement, fostering a collaborative and inclusive academic environment. Concordia’s strong ties with world-class AI centers such as Mila – Quebec AI Institute and IVADO, as well as its Applied AI Institute, provide students with unparalleled access to resources and leading industry partnerships.

Montreal itself is recognized as a global artificial intelligence hub, home to major research labs from industry giants such as Google, Meta, Microsoft, and Amazon, as well as a thriving academic community. The city is consistently ranked among the top student cities worldwide, offering a dynamic, multicultural, and welcoming atmosphere ideal for international scholars.

Research Topic and Significance

This PhD position focuses on the design and optimization of diffusion-based generative models and the development of interpretable AI systems for cancer diagnosis and explanation, specifically in the fields of radiology and pathology. The research encompasses applications involving histopathology, MRI, CT, and other advanced medical imaging modalities.

Also See

  • Fully Funded PhD in Nanotechnology and Biomedical Applications at TU Dublin
  • Fully Funded MSc/PhD Positions in Medical Robotics at the University of Calgary
  • Funded PhD and Postdoctoral Positions in Artificial Intelligence for Healthcare at ISR-Lisboa
  • PhD Opportunity in Biomedical Optics at Vrije Universiteit Amsterdam
  • Postdoctoral Opportunity in In-Silico Clinical Trials for Cardiovascular Engineering at RWTH…

The significance of this research lies in its potential to transform clinical diagnostics and patient care. By harnessing the power of deep learning and generative modeling, the project aims to create AI-driven tools that not only improve the accuracy of cancer detection but also provide transparent explanations for diagnostic decisions. This is crucial for building trust in AI systems among clinicians and patients alike, and for advancing precision medicine in oncology.

Project Details

The successful candidate will join a dynamic research environment, collaborating closely with two distinguished supervisors:

– Dr. Hassan Rivaz: Full Professor, Research Chair in Medical Imaging with Deep Learning, and leader of the IMPACT Lab. Dr. Rivaz is a recognized Rising Star in Bio-Imaging (Quebec, 2022) and brings extensive expertise in both technical innovation and translational research.

– Dr. Mahdi S. Hosseini: Gina Cody Research Chair, Assistant Professor at Concordia, Adjunct at McGill Pathology, Affiliate of Mila – Quebec AI Institute, and recipient of the Amazon Research Award (2023). Dr. Hosseini’s multidisciplinary background bridges computer science, medical imaging, and artificial intelligence.

The project is fully funded, offering a comprehensive scholarship that covers tuition and provides access to advanced computational resources. Students will benefit from collaborative opportunities with Mila, IVADO, the Applied AI Institute at Concordia, and exposure to leading industry partners in Montreal’s AI ecosystem.

Candidate Profile

Ideal applicants for this PhD position will demonstrate the following qualifications and attributes:

– BSc and MSc degrees in Computer Science, Electrical Engineering, Biomedical Engineering, or closely related fields, with a strong academic record (high CGPA).

– Prior research experience, evidenced by at least one publication (conference or journal) in deep learning, generative modeling, or medical imaging.

– Solid theoretical foundation in deep learning and hands-on experience with PyTorch, including custom deep learning model implementation.

– Demonstrated self-motivation, critical thinking, and the ability to excel in interdisciplinary and collaborative research environments.

– A passion for developing interpretable AI systems that address real-world challenges in healthcare.

The program welcomes applicants from all backgrounds and is committed to fostering an inclusive and diverse research team.

Application Process

To apply, interested candidates should send the following documents via email to hassan(dot)rivaz(at)concordia(dot)ca and mahdi(dot)hosseini(at)concordia(dot)ca with the subject line: (PhD-Diffusion AI: Your-Name)

– Cover letter (tailored to this position)

– Curriculum Vitae (CV)

– Unofficial transcripts (BSc & MSc)

Only shortlisted candidates will be contacted. The start date for this position is as early as possible in 2026. No specific application deadline has been mentioned, so early applications are encouraged.

Conclusion

If you are driven to advance the frontiers of artificial intelligence in medicine and are seeking a supportive, resource-rich environment for your doctoral studies, this opportunity at Concordia University is not to be missed. Apply now to join a world-class team and make a meaningful impact on the future of healthcare. For more opportunities like this, be sure to follow similar postings and stay connected with the latest research openings in your field.

Want to calculate your PhD admission chances? Try it here:

the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: We’re an independent team helping students find opportunities.

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Fully Funded PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging

Concordia, Entre Ros PhDFinder

Publicado hace 15 días

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University: Concordia University

Country: Canada

Deadline: Not specified

Fields: Computer Science, Electrical Engineering, Biomedical Engineering, Medical Imaging, Artificial Intelligence

Are you passionate about advancing artificial intelligence to transform healthcare and medical diagnostics? If you are driven by the prospect of developing cutting-edge deep learning models that can revolutionize medical imaging and cancer diagnosis, this fully funded PhD opportunity at Concordia University in Montreal could be the ideal next step in your academic journey.

The field of medical imaging is undergoing a transformative shift powered by artificial intelligence and generative modeling. As the demand for interpretable and robust AI tools in healthcare grows, researchers with interdisciplinary expertise are increasingly sought after. This PhD position provides an exceptional opportunity to contribute to high-impact research at the intersection of deep learning, generative modeling, and medical image analysis, under the guidance of internationally recognized experts.

About The University Or Research Institute

Concordia University, located in the vibrant city of Montreal, Canada, is renowned for its strong research culture and commitment to innovation. The university is home to leading departments such as Electrical & Computer Engineering (ECE) and Computer Science & Software Engineering (CSSE), both of which are at the forefront of technological advancement. Montreal is recognized globally as an AI hub, hosting premier institutions like Mila – Quebec AI Institute, IVADO, and the Applied AI Institute, in addition to research labs from industry giants such as Amazon, Google, Meta, and Microsoft. This rich ecosystem fosters collaboration, access to cutting-edge resources, and a thriving academic community for aspiring researchers.

Research Topic and Significance

The core focus of this PhD project is the design and optimization of diffusion-based generative models, with direct applications in medical imaging. Diffusion models represent the latest breakthrough in generative AI, offering unprecedented capabilities for synthesizing and analyzing complex data such as histopathology slides, MRI, and CT images. This research aims to develop interpretable AI models that not only enhance the accuracy of cancer diagnosis but also provide transparent explanations for clinical decision-making in radiology and pathology. The significance of this work lies in its potential to improve diagnostic precision, facilitate early detection of diseases, and support clinicians with trustworthy AI tools, thereby making a tangible impact on patient outcomes and healthcare delivery.

Also See

  • PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging
  • Fully Funded PhD Positions in AI-Driven Electronic Systems for Precision Health at UVA
  • Fully Funded PhD in Nanotechnology and Biomedical Applications at TU Dublin
  • PhD Opportunity in Signal Processing for Clinical Neuroscience at Maastricht University
  • PhD Position in Nanobiotechnology for Diagnostics at IQAC-CSIC, Barcelona

Project Details

This Fully Funded PhD Position Will Be Jointly Supervised By Dr. Hassan Rivaz, Full Professor And Research Chair In Medical Imaging With Deep Learning (IMPACT Lab), And Dr. Mahdi S. Hosseini, Gina Cody Research Chair In CSSE, Adjunct Professor At McGill Pathology, And Affiliate Member Of Mila – Quebec AI Institute. The Research Will Involve

– Designing and optimizing diffusion-based generative models for medical imaging applications.

– Developing interpretable AI systems for cancer diagnosis and explanation in radiology and pathology.

– Applying advanced deep learning techniques to a variety of medical imaging modalities, including histopathology, MRI, and CT.

The project offers access to substantial computational resources and the opportunity to collaborate within the Montreal AI ecosystem, providing an ideal environment for groundbreaking research.

Candidate Profile

This opportunity is best suited for candidates who meet the following criteria:

– Hold an excellent academic record with a high CGPA in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields at both BSc and MSc levels.

– Demonstrate research experience with at least one publication (conference or journal) in deep learning, generative modeling, medical imaging, or computational pathology.

– Possess a strong understanding of deep learning theory and hands-on experience with PyTorch.

– Exhibit self-motivation, critical thinking, and the ability to work effectively in an interdisciplinary team.

A mindset oriented toward innovation and a passion for applying AI to real-world healthcare challenges will be highly valued.

Application Process

To apply, interested candidates should send the following documents to hassan(dot)rivaz(at)concordia(dot)ca and mahdi(dot)hosseini(at)concordia(dot)ca with the subject line: (PhD-Diffusion AI: Your-Name):

  • Cover Letter (tailored to this project)
  • Curriculum Vitae (CV)
  • Unofficial transcripts (BSc and MSc)

Only shortlisted candidates will be contacted for interviews.

Conclusion

If you are eager to contribute to the future of medical imaging and AI-driven healthcare, this fully funded PhD position at Concordia University offers an unparalleled research environment and mentorship. We encourage all qualified and motivated candidates to apply and take the next step in their academic and professional journey. For similar opportunities and updates, be sure to follow this page.

Want to calculate your PhD admission chances? Try it here:

the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: an independent team helping students find opportunities.

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Artificial Intelligence and Machine Language Data Science - Remote

Springer Capital

Publicado hace 11 días

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Artificial Intelligence and Machine Learning Data Science - Remote

Join us to apply for the Artificial Intelligence and Machine Learning Data Science - Remote role at Springer Capital .

Get AI-powered advice on this job and enjoy exclusive features.

This salary range is provided by Springer Capital. Your actual pay will depend on your skills and experience — discuss with your recruiter for more details.

Base pay range

$6,000.00/yr - $2,000.00/yr

Springer Capital specializes in raising capital and solving capital issues in the real estate private equity market. We have extensive experience raising capital across the entire spectrum. Building long-term relationships with investors and lenders is our priority, engaging with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With our expertise in the housing market, we align all parties in land acquisitions, development, improvements, sales, and lease-up.

The Role
  • Assist in developing and refining AI/ML models for business intelligence and automation.
  • Analyze real estate investment data and extract insights using data science tools.
  • Research and implement machine learning algorithms and techniques.
  • Support in building predictive models related to asset management.
  • Collaborate with team members on AI-driven automation projects.
  • Document model performance, processes, and research findings.
Ideal Profile
  • Possess an advanced degree, ideally a PhD, in Mathematics, Statistics, Computer Science, or a related field.
  • At least 1 year of experience, preferably as a Data Scientist or IT Business Analyst / Project Manager.
  • Ability to write and execute complex queries in SQL.
  • Good interpersonal and communication skills, with experience working with multiple stakeholders.
  • Strong team player capable of managing multiple stakeholders.
  • Strong analytical skills and comfort working with numerical data.
  • Adaptable and able to thrive in changing environments.
What's on Offer?
  • Opportunity within a company with a solid track record of performance.
  • Work alongside & learn from top talent.
  • Join a market leader in Real Estate.
Seniority level
  • Entry level
Employment type
  • Part-time
Job function
  • Engineering and Information Technology

Referrals can double your chances of interviewing at Springer Capital.

Get notified about new Artificial Intelligence Specialist jobs in Argentina .

Recent postings include roles in Argentina with salaries ranging from 14,400.00 to 24,000.00, and other data science and software engineering opportunities.

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Manager, Data Science

Buenos Aires, Buenos Aires Financecolombia

Hoy

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Manager, Data Science Apply Now Apply Later Job ID 10122660 Location Buenos Aires, Argentina Business The Walt Disney Company (LATAM) Date posted Jun. 27, 2025 Job Summary:

BUILD SOMETHING BIGGER THAN YOURSELF

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

How will you contribute to our magical experience?

The Manager, Data Science will join the team to lead a team focused on leveraging data and advanced analytics to drive strategic decision-making and enhance user experience.

This role should understand subscriber behavior, predict churn, and optimize various aspects of the subscriber lifecycle, framing business problems to identify appropriate analytics techniques.

The overall purpose is to provide actionable insights and build data solutions that drive business growth, improve customer retention, and optimize operational efficiencies.

The Manager, Data Science will be responsible for:

  • Lead and mentor a team of data scientists to develop and implement models that predict subscriber behavior and preferences.
  • Foster a collaborative environment that encourages innovation and continuous improvement.
  • Build and operate a suite of propensity models to predict subscribers’ next moves, such as churn, upgrades, content consumption, and reacquisition.
  • Partner closely with Subscriber Analytics, Finance, Business Operations, Product, and Engineering teams to develop models for various challenges.
  • Provide actionable insights to help understand, for example, why users churn, which users are likely to upgrade, and how to increase the likelihood of content consumption.
  • Oversee significant projects and tasks, ensuring they are completed on time and to a high standard.
  • Manage project timelines, resources, and budgets to achieve desired outcomes.

What we need from you tobe part of this story:

  • 5+ years of proven experience in data teams.
  • Graduates in Mathematics, Actuarial Science, Statistics, Engineering, Economics, Finance, Accounting, or similar fields.
    Master’s/Postgraduate degree in Analytics or Data Science is a plus.
  • Proficiency in programming languages (R, SQL, and Python).
  • Expertise in data visualization tools such as Looker, Tableau, Power BI.
  • Strong knowledge of Machine Learning and Deep Learning techniques. Ability to interpret quantitative information and communicate insights effectively to non-technical stakeholders.
  • Demonstrated leadership and project management skills, including budget and resource management.
  • Advanced level of English.

Additional Information:

At Disney, we believe it takes great people to create the memorable experiences, products and services our consumers know and love. We are a team of storytellers and hire under equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability and gender identity. We foster a corporate culture of belonging and inclusiveness, which empowers our staff and company to thrive. At Disney, everyone has the opportunity to speak up and participate, grow and share ideas.

“You can design and create, and build the most wonderful place in the world. But it takes people to make the dream a reality.” Walt Disney

About The Walt Disney Company (LATAM):

The Walt Disney Company Latin America is the leading family entertainment company in Latin America and has been present in the region since the 1940’s when Walt Disney traveled to Brazil, Argentina and Peru with several artists. As a result of that journey, the Company’s sixth animated film “Saludos Amigos” premiered in Río de Janeiro in 1942.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with TWDC Argentina S.A. , which is part of a business we call The Walt Disney Company (LATAM) .

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Senior Data Science

Financecolombia

Publicado hace 5 días

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  • Argentina / Uruguay / Chile / Colombia / Mexico - Remote (any location)

Join Howdy to discover a new way of working remotely

At Howdy, we connect top Latin American talent with leading US companies. Unlike other online marketplaces and job platforms, we're a community that cares about people. Our whole ethos is people-first.

What's so different about us?

  • We're driven by your well-being: We prioritize your growth and well-being with competitive pay, top-tier equipment, and premium healthcare.
  • We're all about direct connections: Work directly with US companies as part of their teams, with no middleman. Build strong relationships and grow professionally.
  • We combine the best of both worlds: Enjoy the freedom to work from home with flexible hours - and come to the office whenever you want!
  • We care about career growth: Lead teams, apply for management roles, and even pitch to investors! Your growth is our priority.
  • We foster a strong community: Get paid, of course. But also, be a part of a welcoming community. Avoid monotony, enjoy your work, and connect with other A-players!

From top tech roles to accounting, marketing, customer support, finance, HR, and operations - we've got opportunities for everyone.

Transform your career with Howdy. Apply today and join us in revolutionizing remote work!

Data Science
  • +4 years of experience as a Data Science
  • +4 years of experience with Python
  • +4 years of experience with SQL
  • Experience with CI and CD
  • Knowledge and experience in designing, developing, maintaining and deployment in Artificial Intelligence and Machine Learning
Complementary skills:
  • Panda
  • Airflow
  • Kafka

Who you are:

  • You are a motivated and self-directed Software Engineer or Data Science graduated who wants to deliver real business value
  • You help your team and peers align to the company vision and mission
  • You consistently leave code and projects better than you found them
  • Offices in some cities
  • Full-time schedule, flexible according to objectives
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Manager, Data Science

Buenos Aires Financecolombia

Publicado hace 11 días

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Descripción Del Trabajo

Manager, Data Science Apply Now Apply Later Job ID 10122660 Location Buenos Aires, Argentina Business The Walt Disney Company (LATAM) Date posted Jun. 27, 2025Job Summary:

BUILD SOMETHING BIGGER THAN YOURSELF

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

How will you contribute to our magical experience?

The Manager, Data Science will join the team to lead a team focused on leveraging data and advanced analytics to drive strategic decision-making and enhance user experience.

This role should understand subscriber behavior, predict churn, and optimize various aspects of the subscriber lifecycle, framing business problems to identify appropriate analytics techniques.

The overall purpose is to provide actionable insights and build data solutions that drive business growth, improve customer retention, and optimize operational efficiencies.

The Manager, Data Science will be responsible for:

  • Lead and mentor a team of data scientists to develop and implement models that predict subscriber behavior and preferences.
  • Foster a collaborative environment that encourages innovation and continuous improvement.
  • Build and operate a suite of propensity models to predict subscribers’ next moves, such as churn, upgrades, content consumption, and reacquisition.
  • Partner closely with Subscriber Analytics, Finance, Business Operations, Product, and Engineering teams to develop models for various challenges.
  • Provide actionable insights to help understand, for example, why users churn, which users are likely to upgrade, and how to increase the likelihood of content consumption.
  • Oversee significant projects and tasks, ensuring they are completed on time and to a high standard.
  • Manage project timelines, resources, and budgets to achieve desired outcomes.

What we need from you tobe part of this story:

  • 5+ years of proven experience in data teams.
  • Graduates in Mathematics, Actuarial Science, Statistics, Engineering, Economics, Finance, Accounting, or similar fields.
    Master’s/Postgraduate degree in Analytics or Data Science is a plus.
  • Proficiency in programming languages (R, SQL, and Python).
  • Expertise in data visualization tools such as Looker, Tableau, Power BI.
  • Strong knowledge of Machine Learning and Deep Learning techniques. Ability to interpret quantitative information and communicate insights effectively to non-technical stakeholders.
  • Demonstrated leadership and project management skills, including budget and resource management.
  • Advanced level of English.

Additional Information:

At Disney, we believe it takes great people to create the memorable experiences, products and services our consumers know and love. We are a team of storytellers and hire under equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability and gender identity. We foster a corporate culture of belonging and inclusiveness, which empowers our staff and company to thrive. At Disney, everyone has the opportunity to speak up and participate, grow and share ideas.

“You can design and create, and build the most wonderful place in the world. But it takes people to make the dream a reality.” Walt Disney

About The Walt Disney Company (LATAM):

The Walt Disney Company Latin America is the leading family entertainment company in Latin America and has been present in the region since the 1940’s when Walt Disney traveled to Brazil, Argentina and Peru with several artists. As a result of that journey, the Company’s sixth animated film “Saludos Amigos” premiered in Río de Janeiro in 1942.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with TWDC Argentina S.A. , which is part of a business we call The Walt Disney Company (LATAM) .

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Data Science Engineer

Cordoba Avenga

Publicado hace 11 días

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This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development.

This is the job

As a Data Science Engineer , you will play a key role in designing, developing, and scaling a cutting-edge GenAI platform that unifies validated AI initiatives within Avenga to enhance internal productivity.

This is you

  • 5+ years of experience in Python and ML Ops.
  • Experience working in a Flywheel-style system (continuous loop: data collection, model improvements, better results, new data, etc.)
  • Problem solver, independent
  • Experience with GCP ML tools (or other cloud/open-source tools for annotation, training, and MLOps)
  • Experience with Vertex AI
  • Experience with Dataflow / Airflow / Ray workflow
  • Knowledge of GNN models and time-series models

This is your role

  • Become a vital part of the Data Science team.
  • Set up data evaluations and pretraining evaluations, perform model grading, versioning, and analyze biases.
  • Coordinate with the team lead a few times a week.

What awaits you at Avenga?

  • Pleasant working environment within one of the largest software development companies in the EU.
  • Opportunity to work independently and creatively, with room to implement your ideas and learn new skills.
  • Influence your career direction within the company.
  • High-quality hardware and software, access to the latest technologies, and engaging projects.
  • Support for your professional development through various training courses.
  • Benefits such as life insurance, pension contributions, language lessons, MultiSport card, sick days, meal allowance, company events, food and coffee, hybrid remote work, and more.

We take pride in our diverse team and welcome everyone to apply and contribute to our collective strength.

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Acerca de lo último Deep learning Empleos en Argentina !

Advanced Data Science Consultant

Buenos Aires, Buenos Aires Zs Associates

Hoy

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ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

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 part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights and Analytics

Advanced Data Science Consultant

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do (previously referenced as Responsibilities)

  • 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.
  • Engage in the development of specific assets/accelerators that foster scalability.
  • Contribute to advancing thought leadership through research support and publication assistance.
  • Provide guidance and mentorship to Associate team members.

What You’ll Bring

  • A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
  • A robust academic performance 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 eco system, Amazon Web Services or database systems.
  • A proficiency in agile project planning and project management techniques.
  • Experience in client interaction, crafting project proposals, and leading teams.
  • Fluency in English.

Additional Skills:

  • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

Perks & Benefits:

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:

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.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

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 on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

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Advanced Data Science Consultant

Buenos Aires ZS

Publicado hace 11 días

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ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

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 part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights and Analytics

Advanced Data Science Consultant

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do (previously Referenced As Responsibilities)

  • 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.
  • Engage in the development of specific assets/accelerators that foster scalability.
  • Contribute to advancing thought leadership through research support and publication assistance.
  • Provide guidance and mentorship to Associate team members.

What You’ll Bring

  • A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
  • A robust academic performance 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 eco system, Amazon Web Services or database systems.
  • A proficiency in agile project planning and project management techniques.
  • Experience in client interaction, crafting project proposals, and leading teams.
  • Fluency in English.

Additional Skills:

  • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

Perks & Benefits:

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:

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.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

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 on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Business Consulting and Services

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Advanced Data Science Consultant

Buenos Aires Zs Associates

Publicado hace 11 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

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 part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights and Analytics

Advanced Data Science Consultant

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do (previously referenced as Responsibilities)

  • 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.
  • Engage in the development of specific assets/accelerators that foster scalability.
  • Contribute to advancing thought leadership through research support and publication assistance.
  • Provide guidance and mentorship to Associate team members.

What You’ll Bring

  • A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
  • A robust academic performance 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 eco system, Amazon Web Services or database systems.
  • A proficiency in agile project planning and project management techniques.
  • Experience in client interaction, crafting project proposals, and leading teams.
  • Fluency in English.

Additional Skills:

  • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

Perks & Benefits:

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:

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.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

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 on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región
 

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