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Scientist Python Jobs in Oregon (NOW HIRING)

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Senior Data Scientist

OR ยท On-site +1

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Data Scientist

OR ยท On-site +1

$75K - $140K/yr

... as Python, SQL, or Spark to support modeling and analysis. * Explore Data for Strategic ... Support Data Science Excellence: Participate in peer reviews, knowledge-sharing forums, and data ...

This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract ...

Data Scientist

$96K - $134K/yr

Work alongside senior data scientists and clinical mentors to translate broad clinical questions ... Solid foundational proficiency in Python (pandas, NumPy, scikit-learn), working knowledge of SQL ...

Data Scientist, Corporate

OR ยท On-site +1

We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ... Advanced proficiency in Python or R and expert-level SQL . * Key Advantages (Big Plus): * Direct ...

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Ability to write efficient and eloquent code in Python or R. * A desire to build and improve ...

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS

Data Scientist, Corporate

OR ยท On-site +1

We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ... Advanced proficiency in Python or R and expert-level SQL . * Key Advantages (Big Plus): * Direct ...

As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery ... Proficiency in Python or R for data manipulation and statistical analysis, including libraries such ...

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Expertise in using tools like R and Python for data analysis * Proven success supporting or making ...

OR

$93K - $140K/yr

Experience with bash scripting, Python, and R * Excellent troubleshooting capabilities, and experience with good practice in customer support * Track record of conducting scientific presentations in ...

Showing results 41-60

Scientist Python information

How does a Scientist Python 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?

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.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What are popular job titles related to Scientist Python jobs in Oregon? For Scientist Python jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Scientist Python jobs? Cities in Oregon with the most Scientist Python job openings:

Senior Data Scientist - Forecasting

Tiger Analytics, LLC

Portland, OR โ€ข On-site

$100 - $140/hr

Other

Re-posted 2 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist โ€“ Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with handsโ€‘on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities
  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Qualifications
  • 10+ years of experience in applied data science or advanced analytics
  • 5+ years of handsโ€‘on experience in demand planning, demand forecasting, or sales forecasting
  • Strong domain experience in CPG, FMCG, retail, or similar industries
  • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
  • Strong SQL skills for large-scale data processing
  • Proven experience deploying models in cloud environments (Azure preferred)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status or any other basis as protected by federal, state or local law.

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