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Swiss Data Science Center Jobs (NOW HIRING)

Five9

Vice President, Data Science

Five9 is a leading provider of cloud contact center software, bringing the power of cloud ... The data science team is very much applied - their work directly makes its way into real products ...

Tranzact

Head of Data Science

Fort Lee, NJ · On-site

Your primary role will be to put Data Science in the center of all our marketing and business decisions. To get there you need to have a deep understanding of data science marketing, what works ...

Michaels Stores

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will ...

Walmart

Staff, Data Scientist

Manhattan, NY · On-site

$132K - $264K/yr

Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize ...

Walmart

Staff, Data Scientist

Freeport, NY · On-site

$132K - $264K/yr

Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize ...

Walmart

Staff, Data Scientist

Elizabeth, NJ · On-site

$132K - $264K/yr

Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize ...

Walmart

Staff, Data Scientist

Hackensack, NJ · On-site

$132K - $264K/yr

Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize ...

Walmart

Staff, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize ...

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All JobsSwiss Data Science Center Jobs

Swiss Data Science Center information

See salary details

$41.5K

$142.5K

$201K

How much do swiss data science center jobs pay per year?

As of Jul 2, 2026, the average yearly pay for swiss data science center in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive at the Swiss Data Science Center, and why are they important?

To thrive at the Swiss Data Science Center, you need a strong background in data science, machine learning, statistics, and programming, typically supported by an advanced degree in a related field. Proficiency with tools such as Python, R, TensorFlow, and big data platforms, as well as experience with cloud computing, is highly valued. Strong problem-solving abilities, effective communication, and collaboration skills are essential for working in interdisciplinary teams and conveying complex results. These skills ensure impactful research, innovative solutions, and successful partnerships across academic and industry projects.

What is the Swiss Data Science Center?

The Swiss Data Science Center (SDSC) is a collaborative initiative founded by EPFL and ETH Zurich to promote data science and machine learning research and applications across Switzerland. It provides expertise, tools, and infrastructure to help academic researchers and industry partners tackle data-driven challenges. The center also offers training, supports interdisciplinary projects, and develops open-source software to advance the field of data science.

What is the difference between Swiss Data Science Center vs Data Scientist?

AspectSwiss Data Science CenterData Scientist
CredentialsTypically requires advanced degrees in data science, computer science, or related fieldsUsually requires a degree in data science, statistics, or related fields; certifications are a plus
Work EnvironmentResearch-focused, collaborative environment often within research institutions or government projectsIndustry-focused, working within companies across various sectors like tech, finance, healthcare
Employer & Industry UsageResearch institutions, government agencies, and innovation centers in SwitzerlandPrivate companies, startups, and organizations across multiple industries worldwide

While both roles involve data analysis and modeling, the Swiss Data Science Center primarily focuses on research and innovation projects within a collaborative environment, whereas Data Scientists typically work in industry settings applying data techniques to solve business problems.

What collaborative opportunities can data scientists expect when working at the Swiss Data Science Center?

At the Swiss Data Science Center, data scientists frequently collaborate with interdisciplinary teams, including academic researchers, software engineers, and industry partners. This collaborative environment fosters innovative approaches to complex data-driven problems and allows for knowledge exchange across domains such as healthcare, environmental science, and engineering. Data scientists often contribute to joint projects, participate in regular team meetings, and engage in workshops or conferences, enhancing both their technical skills and professional networks. Such collaboration not only enriches daily work but also opens up pathways for career growth and specialization.
More about Swiss Data Science Center jobs
What states have the most Swiss Data Science Center jobs? States with the most job openings for Swiss Data Science Center jobs include:
What job categories do people searching Swiss Data Science Center jobs look for? The top searched job categories for Swiss Data Science Center jobs are:
Swiss Data Science Center jobs near you
Infographic showing various Swiss Data Science Center job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Vice President, Data Science

Vice President, Data Science

Five9

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that contributes to the performance of Five9's AI products. Tasks include evaluation of and selection of AI agent architectural frameworks, evaluation and comparison of LLM models across commercial and open source choices, model fine-tuning for dedicated tasks, prompt engineering, prompt structure and design, and composite model definitions and evaluations. The scale of Five9 provides a wealth of data that data science team has access to. The data science team is very much applied - their work directly makes its way into real products providing direct customer benefit.
As lead of this team, you will take complete ownership of the technical and operational direction of the organization, including growing to team to meet increased demand for its capabilities.
Key Responsibilities:
  • Technical Direction Setting: As an expert in the leading edge of AI and data science, you will direct the team on the methodologies, practices, algorithms, experiments and processes they perform.
  • Hands On: You are expected to also be hands on, not just a manger, and be directly responsible for some amount of the technical work in addition to directing the team.
  • Organizational Growth: You will be tasked with growing the team, and ensuring we have the right talent to accomplish our goals.
  • Collaborator and Spokesperson: You will act as an internal and external spokesperson for data science, and collaborate with stakeholders across the company. Internally, you will be expected to meet with product managers, executives and estaff, and be able to converse effectively with them. You will also occasionally meet with customers to understand how Five9 products, and the data science behind them, impacts the customers. You are expected to participate in industry activities, including publication of blog posts and papers, along with participation in AI conferences.

Technical Expertise:
  • 12+ years experience in data science or AI applied research, ideally at a best-in-class applied research organization.
  • Deep Expertise in Modern AI/ML
    • Extensive hands-on experience with LLMs, agentic architectures, retrieval-augmented systems, transformers, and composite model pipelines.
    • Strong understanding of commercial and open-source model ecosystems (e.g., OpenAI, Anthropic, Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis.
  • Model Development & Optimization
    • Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt optimization, and model orchestration for real-world use cases.
    • Experience designing evaluation frameworks, experiment methodologies, and robust model comparison workflows.
  • Data Engineering & Curation
    • Expertise in large-scale data collection, labeling, cleaning, and curation pipelines, preferably with conversational or unstructured text data.
    • Familiarity with tools and techniques for data quality assessment, dataset versioning, and data governance.
  • Applied Data Science & Analytics
    • Strong proficiency in statistical analysis, A/B experimentation, causal inference, and performance measurement.
    • Demonstrated success turning data insights into product improvements that drive measurable business outcomes.
  • Software Development & Systems Thinking
    • Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling).
    • Understanding of production ML systems, deployment patterns, monitoring, and safety/guardrail design.

People & Collaboration Skills:
  • Cross-Functional Partnering
    • Ability to collaborate effectively with product managers, engineering leaders, UX, and GTM teams to translate business needs into data science strategies.
    • Adept at explaining complex technical concepts to executives, customers, and non-technical stakeholders.
  • Communication & Storytelling
    • Exceptional written and verbal communication skills, including ability to publish thought leadership (papers, blog posts) and present at conferences.
  • Team Development & Mentorship
    • Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking.
  • Customer Empathy
    • Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into product or model improvements.

Leadership & Strategic Skills:
  • Vision Setting & Direction
    • Ability to define the data science strategy for AI Agents and customer experience products, aligning with corporate priorities and market opportunities.
  • Hands-On Leadership
    • Comfortable being an active contributor-writing code, running experiments, reviewing research-while simultaneously guiding the team's overall direction.
  • Organizational Scaling
    • Experience hiring, scaling, and structuring high-performing data science teams across multiple geographies.
  • Operational Excellence
    • Ability to build processes for experimentation, model evaluation, data quality management, and continuous delivery of data science innovation into product.
  • Executive Presence & Influence
    • Skilled at influencing E-staff and senior leadership, defending technical decisions, shaping product strategy, and representing data science internally and externally.
  • Ethics, Safety & Risk Awareness
    • Deep understanding of responsible AI principles, privacy considerations, and model safety, including evaluating risks when operating at enterprise scale.

Educational Requirements:
Advanced degree in a quantitative or technical field, such as:
  • Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Electrical Engineering, Computational Linguistics, or a related field.
  • Master's degree in one of the above fields with significant applied industry experience in AI/ML leadership roles.

Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office.
As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.
Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.
Our total reward package also includes:
  • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents.
  • Generous employee stock purchase plan.
  • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.
The US base salary range for this role is below.
$233,000-$512,000 USD
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

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