QUALIFICATIONS
Advanced degree in a quantitative discipline (e.g., statistics, mathematics or econometrics, economics, ops. research or any related field)
Hands-on work experience in statistical or heavy numerical analyses
Strong knowledge of statistical approaches, incl. advanced machine learning techniques (e.g., Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and/or optimization
Fluent in two or more programming languages (e.g., R, Python, Julia, SQL, GMPL, or related), and knowledge of typical frameworks (e.g., TensorFlow)
Strong multi-tasking abilities, flexibility, and patience in a fluid environment
Excellent written and verbal communication skills, esp. ability to describe analytic processes from start to finish in your area of expertise
Professional attitude and service orientation; team player
Fluency in German
Willingness to travel up to 80%
WHO YOU'LL WORK WITH
You will be based in Zurich and will be part of Digital and Analytics McKinsey. This group is fully dedicated to working with client teams on solving our client’s business problems with a strong quantitative nature. You will assist our clients on site through conducting state of the art hands-on quantitative analysis across the spectrum of marketing and sales, risk, operations, etc.
WHAT YOU'LL DO
You will shape the future of what data-driven organizations look like, drive processes for extracting, analyzing and interpreting data in creative ways, and create valuable, transformative business strategies within an infinite number of clients and situations.
In this role you will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.
You will work directly on site with clients and client teams to conduct hands-on rigorous quantitative analysis as part of the overall problem solving approach. You will advise client teams on analytical options to address their specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs, and recommendations, while working with the team to translate input from quantitative analyses into specific and actionable business recommendations.
You will support clientele development through analytical approaches and support McKinsey proprietary knowledge investments via rigorous quantitative analysis, including interpreting findings and results as well as develop, in collaboration with other consultants, innovative analytical approaches. As an analytics consultant, you will be part of an internal network of all analytics colleagues, including exciting training's, and will also support internal (firm and practice) information requests as well as help build the analytics community in your local office (e.g. recruiting).
McKinsey & Company is an equal opportunity employer.
24/04/2019
Full time
QUALIFICATIONS
Advanced degree in a quantitative discipline (e.g., statistics, mathematics or econometrics, economics, ops. research or any related field)
Hands-on work experience in statistical or heavy numerical analyses
Strong knowledge of statistical approaches, incl. advanced machine learning techniques (e.g., Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and/or optimization
Fluent in two or more programming languages (e.g., R, Python, Julia, SQL, GMPL, or related), and knowledge of typical frameworks (e.g., TensorFlow)
Strong multi-tasking abilities, flexibility, and patience in a fluid environment
Excellent written and verbal communication skills, esp. ability to describe analytic processes from start to finish in your area of expertise
Professional attitude and service orientation; team player
Fluency in German
Willingness to travel up to 80%
WHO YOU'LL WORK WITH
You will be based in Zurich and will be part of Digital and Analytics McKinsey. This group is fully dedicated to working with client teams on solving our client’s business problems with a strong quantitative nature. You will assist our clients on site through conducting state of the art hands-on quantitative analysis across the spectrum of marketing and sales, risk, operations, etc.
WHAT YOU'LL DO
You will shape the future of what data-driven organizations look like, drive processes for extracting, analyzing and interpreting data in creative ways, and create valuable, transformative business strategies within an infinite number of clients and situations.
In this role you will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.
You will work directly on site with clients and client teams to conduct hands-on rigorous quantitative analysis as part of the overall problem solving approach. You will advise client teams on analytical options to address their specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs, and recommendations, while working with the team to translate input from quantitative analyses into specific and actionable business recommendations.
You will support clientele development through analytical approaches and support McKinsey proprietary knowledge investments via rigorous quantitative analysis, including interpreting findings and results as well as develop, in collaboration with other consultants, innovative analytical approaches. As an analytics consultant, you will be part of an internal network of all analytics colleagues, including exciting training's, and will also support internal (firm and practice) information requests as well as help build the analytics community in your local office (e.g. recruiting).
McKinsey & Company is an equal opportunity employer.
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
11/04/2019
Full time
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
10/04/2019
Full time
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Engineer:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Strong background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Ready for the mission? Don't keep us in suspense.
09/04/2019
Full time
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Engineer:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Strong background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Ready for the mission? Don't keep us in suspense.
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Intern:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Availability of at least 6 months, interest in a fixed position preferred
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima & to be transferred to a fixed position after 6 months
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
09/04/2019
Full time
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Intern:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Availability of at least 6 months, interest in a fixed position preferred
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima & to be transferred to a fixed position after 6 months
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of Digital Transformation , Performance Management and Data Governance . Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support.
In order to strengthen our teams, we are looking for one of our customers in Geneva a (e):
SENIOR DATA SCIENTIST / IA
MAIN ACTIVITIES
Engage with selected stakeholders to define the needs and business scenarios and offers different types of solutions and a phased approach to their implementation.
Evaluate and pre-process raw information as necessary; delve into data to discover discrepancies and matching patterns.
Collaborate with Business Analysts on the "Business" side to plan the development process on behalf of the Steering Committee: organize, conduct and report on all technical related activities.
Work with the data scientist and the project team to design, develop, test and deliver AI solutions / modules and evaluate the modules / solutions compatibility with the ICT platform, its applicability, availability and scalability.
Delivering data models and matching criteria / types of data capture and distribution of human rights operations, defining the type of data and the record keeping processes, and dealing with large scale datasets.
Design and build from scratch a hub query, based on various sources, and accessible to the business.
Collaborate with ICT teams to evaluate and implement required developments.
Present AI Proof of Concepts to the Business Team in the field of Data Science, including a study of the technologies and the way to industrialize the solution .
TECHNICAL SKILLS
7+ years of experience as a Data Scientist
Strong experience in data mining / analysis, data modeling / neuronal networking and data visualization / reporting methods and tools o Strong knowledge of statistics and data analytics (eg as SPSS, SAS, Excel or similar).
Proficient in algorithms / queries for global / elastic search implementation
Demonstrated experience in implementing systems leveraging Artificial Intelligence / Machine Learning technologies eg for text / image recognition, identification / authentication
Proficient in programming languages and environments such as MATLAB, R, Python or related languages
Excellent analytical and communication skills
Outstanding organizational and problem-solving aptitude
Strong experience in large-scale deployment processes
Master Degree in Operations Research, Computer Science, Statistics, Mathematics or a related field
LANGUAGES
Fluent French
Fluent in written and spoken English
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together! So, do not hesitate, come join us.
27/03/2019
Full time
CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of Digital Transformation , Performance Management and Data Governance . Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support.
In order to strengthen our teams, we are looking for one of our customers in Geneva a (e):
SENIOR DATA SCIENTIST / IA
MAIN ACTIVITIES
Engage with selected stakeholders to define the needs and business scenarios and offers different types of solutions and a phased approach to their implementation.
Evaluate and pre-process raw information as necessary; delve into data to discover discrepancies and matching patterns.
Collaborate with Business Analysts on the "Business" side to plan the development process on behalf of the Steering Committee: organize, conduct and report on all technical related activities.
Work with the data scientist and the project team to design, develop, test and deliver AI solutions / modules and evaluate the modules / solutions compatibility with the ICT platform, its applicability, availability and scalability.
Delivering data models and matching criteria / types of data capture and distribution of human rights operations, defining the type of data and the record keeping processes, and dealing with large scale datasets.
Design and build from scratch a hub query, based on various sources, and accessible to the business.
Collaborate with ICT teams to evaluate and implement required developments.
Present AI Proof of Concepts to the Business Team in the field of Data Science, including a study of the technologies and the way to industrialize the solution .
TECHNICAL SKILLS
7+ years of experience as a Data Scientist
Strong experience in data mining / analysis, data modeling / neuronal networking and data visualization / reporting methods and tools o Strong knowledge of statistics and data analytics (eg as SPSS, SAS, Excel or similar).
Proficient in algorithms / queries for global / elastic search implementation
Demonstrated experience in implementing systems leveraging Artificial Intelligence / Machine Learning technologies eg for text / image recognition, identification / authentication
Proficient in programming languages and environments such as MATLAB, R, Python or related languages
Excellent analytical and communication skills
Outstanding organizational and problem-solving aptitude
Strong experience in large-scale deployment processes
Master Degree in Operations Research, Computer Science, Statistics, Mathematics or a related field
LANGUAGES
Fluent French
Fluent in written and spoken English
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together! So, do not hesitate, come join us.
