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New Grad Data Scientist Jobs in Missouri (NOW HIRING)

Think creatively, proactively, and futuristically to identify and size up new opportunities within ... years of post-grad quantitative analysis and data science experience; or a PhD in a related ...

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Enjoy working in areas outside of usual comfort zone and love to learn new technologies.

Data Scientist

California, MO · On-site

$76 - $130/hr

Impact Impact As a Data Scientist specializing in geospatial intelligence, you will help power the ... new earning opportunities. At Shipt, we aim to put our team first to boost a sense of belonging ...

Sr. Data Scientist

Hazelwood, MO · On-site

$115 - $160/hr

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Enjoy working in areas outside of usual comfort zone and love to learn new technologies.

The Data Scientist is expected to prototype and design to the goals of functionality and ... Enjoy working in areas outside of usual comfort zone and love to learn new technologies.

Data Scientist

Earth City, MO · On-site

$111K - $131K/yr

Try new things, learn new skills and discover what you excel at-all from Day One. Responsibilities ... Define enterprise data standards, metadata management practices, and data governance processes.

Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives ... Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving ...

Senior Data Scientist

California, MO · On-site

$120 - $180/hr

Think creatively, proactively, and futuristically to identify and size up new opportunities within ... data science experience; or a Master's degree in a technical field + 4+ years of post‑grad ...

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Enjoy working in areas outside of usual comfort zone and love to learn new technologies.

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving ...

Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new ... Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning ...

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

... develop new business models. Joining this team offers the opportunity to lead cutting-edge AI ... Drive high-impact data science initiatives across recommendations, customer voice, market research ...

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New Grad Data Scientist information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do new grad data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for new grad data scientist in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Missouri?

For New Grad Data Scientist jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Missouri look for?

The top searched job categories for New Grad Data Scientist jobs in Missouri are:

What cities in Missouri are hiring for New Grad Data Scientist jobs?

Cities in Missouri with the most New Grad Data Scientist job openings:

Infographic showing various New Grad Data Scientist job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Senior Data Scientist, Level 5

Jobtailor

California, MO • On-site

$140 - $190/hr

Other

Posted 14 days ago


Job description

  • Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
  • Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
  • Collaborate with product managers, engineers, product marketers, and designers
  • Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long-term roadmap for data-scientific contributions
  • Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
  • Communicate best practices in quantitative analysis and develop cross-functional partnerships
  • Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.
Requirements
  • Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
  • 5+ years of post-Bachelor’s quantitative analysis and data science experience; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience
  • 5+ years of experience using SQL or similar big data querying languages
  • 5+ years of experience with programming language, such as Python or R
  • 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
  • Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
Core Competencies

Demonstrates expertise in quantitative analysis, data mining, and statistical modeling to deliver actionable insights and optimize product decisions. Proficient in machine learning techniques and SQL, with a strong background in collaboration across cross-functional teams in a product-focused environment.

Highest-signal resume keywords
  • Quantitative Analysis
  • Machine Learning
  • Statistical Modeling
  • SQL
  • Python
ATS Optimization KeywordsHard Skills
  • Data Mining
  • Statistical Techniques
  • A/B Testing
  • Inferential Methods
  • Causal Methods
  • Data Science
  • Predictive Analytics
  • Data Visualization
  • Big Data Querying
  • Statistical Rigor
Soft Skills
  • Creative Thinking
  • Proactive Problem Solving
  • Effective Communication
  • Collaboration
Certifications & Qualifications
  • Bachelor's Degree
  • Master's Degree
  • PhD
Industry Keywords
  • Social Media
  • Online Advertising
  • Digital Media
  • Mobile Technology
Tools & Technologies
  • AI Tools
  • Data Solutions
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