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Data Science Assistant Jobs (NOW HIRING)

Work with senior team members to explore and integrate new technologies and methodologies in AI and data science. * Assist in research and assessment of the latest trends and developments in machine ...

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Assistant Director, Data Science

Boston, MA · On-site +1

$161K - $197K/yr

D. degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and two (2) years of experience in the job offered or in an Assistant Director, Data Science -related ...

New

D. degree in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field and two (2) years of experience in the job offered or in an Assistant Director, Data Science -related ...

New

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate student assistants) helps students and other researchers develop critical data science and visualization ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine ... * Assist in prototyping AI agents and conversational interfaces that allow analysts to query data ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
More about Data Science Assistant jobs
What cities are hiring for Data Science Assistant jobs? Cities with the most Data Science Assistant job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Data Science Assistant jobs? States with the most job openings for Data Science Assistant jobs include:
Infographic showing various Data Science Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Data Scientist I - Digital

Data Scientist I - Digital

Westlake

Houston, TX • On-site

Full-time

Posted 3 days ago

New


Westlake Chemical rating

7.8

Company rating: 7.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

37th of 92 rated chemical manufacturers


Job description

Westlake offers you the potential to enrich your work life and career experience in an entrepreneurial environment. We work together to enhance peoples' lives through our products and presence in the communities in which we operate.

SUMMARY

Westlake Corporation AI & Digital Office operates at the heart of the strategic direction of our enterprise. The Digital Office team drives digital transformation across the enterprise's entire portfolio to achieve growth through leapfrogging customer experience and operational excellence.

As a member of the AI & Digital Office, the Data Scientist I - Digital will work with Data Scientists, Data Analysts, business partners, and functional subject matter experts to design and build AI agents and agent-enabled workflows that align to existing business objectives and deliver measurable value.

As a Data Scientist at Westlake Corporation, they will provide hands-on engineering support for AI & Digital Office initiatives. This includes developing and testing AI agents in Python, integrating tools and enterprise data sources via APIs, documenting and debugging agent behavior, and contributing to deployment and operationalization on Microsoft Azure. They will collaborate closely with technical and non-technical stakeholders to translate business needs into reliable, secure, and maintainable agent solutions.

ESSENTIAL DUTIES AND RESPONSIBILITIES

General Description

  • Receives instruction, direction, and guidance from senior data scientists, MLOps engineer, and project team members

  • Develop and implement AI workflows and applications as part of existing project milestones

  • Investigate approaches to solve novel data science problems with other technical team members

  • Learn and use data science and software development best practices in projects

Data Management and Analysis

  • Work with senior team members to collect, clean, and preprocess data for analysis.

  • Assist in the development and implementation of machine learning algorithms and statistical models.

  • Help maintain data pipelines and ensure the integrity and quality of data used in analyses.

  • Support the team in the interpretation of data and communication of findings to non-technical stakeholders.

Machine Learning and Model Development

  • With proper oversight, participate in the design and testing of predictive models and LLM custom workflows.

  • Assist senior team members in fine-tuning models to improve accuracy and performance.

  • Help evaluate new data sources for model enhancement and feature engineering.

  • Contribute to the deployment of machine learning models into production environments.


Special Projects

  • Work with senior team members to explore and integrate new technologies and methodologies in AI and data science.

  • Assist in research and assessment of the latest trends and developments in machine learning and AI.

  • Participate in the setup and evaluation of new analytical tools and software for the team.

QUALIFICATIONS

  • Proficient in programming and markup languages such as Python, SQL, and familiarity with machine learning tools and AI platforms.

  • Ability to present ideas in user-friendly language to a non-technical audience.

  • Ability to conduct research into data science operational issues, standards, and products as required.

  • Analytical and problem-solving abilities, with a strong foundation in statistics, machine learning, LLMS, software development, and AI agent development.

  • Hands-on experience developing and testing AI agents using Python, including prompt/tool orchestration, API integration, and basic evaluation/debugging workflows.

  • Proficiency with modern developer tooling for agent development, including VS Code, Git, and agent-coding platforms/frameworks, and familiarity with deploying or integrating solutions on Microsoft Azure.

  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

EDUCATION and/or EXPERIENCE

  • Undergraduate degree in Computer Science, Computer Engineering, or equivalent

  • Experience developing business solutions with tools & frameworks such as Pandas, Scikit-learn, TensorFlow, or PyTorch is a plus.

  • Experience with modern cloud application technical architecture

  • Familiarity with version control systems such as Git and development environments like Jupyter Notebooks or VS Code.

PHYSICAL DEMANDS

While performing the duties of this job, the employee is regularly required to sit. The employee frequently is required to walk; use hands to touch, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand. The employee must regularly lift and/or move up to 10 pounds, frequently lift and/or move up to 25 pounds. Any lifting in excess of 25 pounds requires assistance from another employee. Specific vision abilities required by this job include close vision, distance vision, color vision, and ability to adjust focus. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT

The noise level in the work environment is usually moderate as normally based in an office. Some of the work may be required in the operating units which can require usage of required PPE including safety glasses, hearing protection, etc. May also result in exposure to outside elements and may require usage of stairs and elevators. Travel up to 20% including air travel or auto travel.

Westlake is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any characteristics protected by applicable legislation.

If you are an active Westlake employee (or an employee of any Westlake affiliates), please do not apply here.You will apply via the Jobs Hub application in Workday.


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