One-click ready super-app to start and running your business
join
careers
Kickstart your whole business with one click or delegate philosophy
join mailing list
available soon on
and desktop
Come up with a name
Create a logotype
Set a style
to every carrier
to every carrier
Get an all-in-one workspace to manage your business on day one
turn-key system ready to use immediately after one-click setup
all necessary apps are seamlessly integrated (super-app)
AI-generated category-tailored text, images, workflows, etc
CRM
Domain
Name, Logo & Story
eCommerce
HR Management
Email & Phone
Website
Appointments
We are hiring
Super-app to start and start running your business
Remote
Java Engineer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
Senior Data Science Engineer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
Senior Automation QA Engineer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
Middle PHP Developer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
Senior Data Science Engineer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
Senior Java Engineer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
Senior Front End Developer
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Remote
React Developer US
Qualifications
• Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
• Develop visualization products to share analysis across a large group of business users.
• Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
• Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.
• Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies.
• Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
• Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.
• Good understanding of ML models and applicability
Responsibilities
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
The Company
• Master degree in Computer Science, Statistics, Mathematics, Business Analytics, Engineering, or any related field.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
• Proven professional data science experience, e.g., machine learning, algorithms and statistical modeling, such as classification, time-series analysis, regression.
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations.
• Experience in project management and leading the project development.
• Python coding skills minimum 2 years.
• UNIX / Linux shell scripting skills minimum 1 year.
• Knowledge about how to deploy cloud environments, like AWS.
apply now
Inita
contact us
© 2022
