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Scientist Python Jobs in Seattle, WA (NOW HIRING)

Experience programming in Python, R, or related language Preferred Qualifications: * PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative ...

New

The IT Data Scientist role involves applying AI and machine learning techniques to enhance business ... Python, Machine Learning/Deep Learning. • Proficiency in ML Frameworks: TensorFlow, PyTorch ...

Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow ... Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing;

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale * Create analyses that generate insights for business teams * Design ...

... Python, with the ability to move beyond prototyping and implement production-quality scientific ... code • Experience with one or more of the following: causal inference, Bayesian modeling ...

... Python, Java, or related scripting language; and (3) communicating with users, technical teams, and ... Science or a related field and two years of experience in the job offered or a related occupation.

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale * Create analyses that generate insights for business teams * Design ...

BASIC QUALIFICATIONS - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related ...

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Scientist Python information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do scientist python jobs pay per year?

As of Jun 7, 2026, the average yearly pay for scientist python in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What cities near Seattle, WA are hiring for Scientist Python jobs? Cities near Seattle, WA with the most Scientist Python job openings:
Data Scientist

Other

Posted 2 days ago


Job description

Only W2, No C2C - Onsite
Job Description:

We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation who has deep passion for building data-driven products, ability to formulate data insights and scientific vision, and a proven track record of executing complex projects and delivering business impact.
Key Job Responsibilities:
  • Marketing Measurement: Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.
  • Customer Lifetime Value (CLV): Build and refine CLV models to inform acquisition targeting, retention strategies, and customer segment prioritization.
  • Causal Inference & Experimentation: Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of marketing campaigns.
  • Campaign Optimization: Partner with marketing teams to translate measurement insights into actionable recommendations for targeting, creative, and channel mix.
  • Cross-functional Collaboration: Work with data scientists, machine learning engineers, and business stakeholders to deliver measurement solutions to production.
Basic Qualifications:
  • PhD, or Master''s degree and 4+ years of experience in CS, CE, ML, Statistics, Economics, or related field
  • 3+ years of experience building machine learning models or developing algorithms for business application
  • Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls)
  • Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2)
  • Experience programming in Python, R, or related language
Preferred Qualifications:
  • PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field
  • 5+ years of experience building marketing measurement models (MMM, CLV, multi-touch attribution)
  • Experience designing and analyzing A/B tests and geo experiments at scale
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science)
  • Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization

V2Soft logo

About V2Soft

Sourced by ZipRecruiter

V2Soft ( www.v2soft.com ) is a global company, headquartered out of Bloomfield Hills, Michigan, with locations in Mexico, Italy, India, China and Germany. At V2Soft, our mission is to provide high performance technology solutions to solve real business problems. We become our customer's true partner, enabling both parties to enjoy success. We are committed to promoting diversity in the workplace, and believe it has a positive effect on our company and the customers we serve.

Industry

Internet and it

Company size

51 - 200 Employees

Headquarters location

Bloomfield Hills, MI, US

Year founded

1998