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Executive Data Scientist Experimentation Jobs in Bothell, WA

Conversica is seeking talented and passionate data scientists to help us evolve our artificial ... and experiment design. JOB REQUIREMENTS * Experience and training in cutting-edge research in ...

We are responsible for driving business insights, forecasting, strategic planning, experimentation ... We are seeking an experienced Principal Business Analytics Data Scientist with solid business ...

Data Scientist

Seattle, WA ยท On-site

$157K - $212K/yr

The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

Experimentation and Analysis : Design, implement, and analyze A/B experiments. Deliver ... Foster Data Culture : Motivate data science and product teams by championing experimentation and ...

Experimentation and Analysis : Design, implement, and analyze A/B experiments. Deliver ... Foster Data Culture : Motivate data science and product teams by championing experimentation and ...

Data Scientist

Seattle, WA ยท On-site

$158 - $229/hr

Experimentation and Analysis: Design, implement, and analyze A/B experiments. Deliver comprehensive ... Foster Data Culture: Motivate data science and product teams by championing experimentation and ...

Develop hypotheses, apply rigorous causal inference methods - controlled experiments, synthetic ... experience in data science or analytics roles * Deep expertise with Python, SQL, and data ...

Audience Data Scientist

Bellevue, WA ยท On-site

$122K - $153K/yr

Support experimentation approaches such as holdouts, audience splits, and incremental testing ... data science, marketing analytics, or related analytical roles * Bachelor's degree in a ...

Audience Data Scientist

Bellevue, WA ยท On-site

$122K - $153K/yr

Support experimentation approaches such as holdouts, audience splits, and incremental testing ... data science, marketing analytics, or related analytical roles * Bachelor's degree in a ...

Sr. Data Scientist

Bellevue, WA ยท On-site

$140K - $180K/yr

Apply experimental design best practices (e.g. A/B testing, cross-validation, randomization) to ... Communicate effectively across technical and non-technical audiences, including executive ...

You will design, develop, and operationalize data science solutions supporting Fire TV customer engagement and retention, lifecycle analytics, Ads monetization, experimentation, and AI-enabled ...

You will design, develop, and operationalize data science solutions supporting Fire TV customer engagement and retention, lifecycle analytics, Ads monetization, experimentation, and AI-enabled ...

As a Principal Data Scientist , you will help transform how organizations use data, developing ... Run experiments that directly influence business strategy and customer outcomes * Collaborate with ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads ... Develop an understanding of complex, large-scale AI development, experimentation, and measurement ...

You will design, develop, and operationalize data science solutions supporting Fire TV customer engagement and retention, lifecycle analytics, Ads monetization, experimentation, and AI-enabled ...

... executive-ready insights that help Event Marketing, Brand, product marketing management (PMM ... Develop and support experimentation frameworks (A/B tests, holdouts, geo-based designs) to ...

Showing results 21-40

Executive Data Scientist Experimentation information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do executive data scientist experimentation jobs pay per year?

As of Sep 5, 2026, the average yearly pay for executive data scientist experimentation in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is an executive data scientist experimentation?

An Executive Data Scientist Experimentation is a senior-level professional who leads and oversees the design, implementation, and analysis of experiments and data-driven initiatives within an organization. They are responsible for developing experimentation strategies, guiding teams in A/B testing, and ensuring that data insights drive business decisions. This role often collaborates with executive leadership to align data science projects with strategic goals and maximize business impact. Executive Data Scientists also mentor junior staff, set best practices, and ensure that experimentation methods are rigorous and ethical.

What are the key skills and qualifications needed to thrive as an executive data scientist experimentation?

To thrive as an Executive Data Scientist Experimentation, you need advanced expertise in statistics, experimental design, and data modeling, typically backed by a PhD or master's degree in a quantitative field. Mastery of tools such as Python, R, SQL, and platforms like AWS or Azure, along with experience in A/B testing and big data systems, is essential. Leadership, strategic thinking, and strong communication skills are crucial for guiding teams and translating complex data into actionable business insights. These skills and qualities are vital for driving data-driven decision-making and delivering impactful business results through rigorous experimentation.

How does an executive data scientist experimentation typically collaborate with cross-functional teams to drive business impact?

As an Executive Data Scientist focusing on experimentation, you will frequently partner with product managers, engineers, and business leaders to design and interpret experiments that inform strategic decisions. Your role involves translating business questions into measurable hypotheses, guiding teams on best practices for A/B testing, and ensuring rigorous analysis. Effective communication is key, as you'll need to present complex findings in a clear way that supports decision-making across the organization. This collaborative approach not only maximizes the impact of your data insights but also fosters a culture of evidence-based innovation.

What is the difference between Executive Data Scientist Experimentation vs Data Scientist Experimentation?

AspectExecutive Data Scientist ExperimentationData Scientist Experimentation
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic planning, cross-department collaboration, leadership rolesData analysis, model development, experimentation execution
Employer & Industry UsageTech companies, finance, consulting firms with strategic focusTech, e-commerce, healthcare, and other data-driven industries

Executive Data Scientist Experimentation roles focus on strategic oversight, leadership, and aligning experimentation efforts with business goals. Data Scientist Experimentation roles are more hands-on, involving designing and executing experiments to analyze data and inform decisions. Both roles require strong analytical skills, but the executive level emphasizes leadership and strategic impact.

What are the most commonly searched types of Data Scientist Experimentation jobs in Bothell, WA?

The most popular types of Data Scientist Experimentation jobs in Bothell, WA are:

What are popular job titles related to Executive Data Scientist Experimentation jobs in Bothell, WA?

For Executive Data Scientist Experimentation jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Executive Data Scientist Experimentation jobs in Bothell, WA look for?

The top searched job categories for Executive Data Scientist Experimentation jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Executive Data Scientist Experimentation jobs?

Cities near Bothell, WA with the most Executive Data Scientist Experimentation job openings:

Infographic showing various Executive Data Scientist Experimentation job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,208 per year, or $66 per hour.

Data Scientist

Conversica, Inc

Seattle, WA โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications