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Data Science New Grad Jobs in Missouri (NOW HIRING)

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.

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.

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ... Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives ...

Working directly with intelligence professionals, you will apply data science techniques to solve ... As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving ...

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.

... new strategies or initiatives and iterate quickly based on results * Effective communication and collaboration skills * Bachelor's of Science in Data Science, Computer Science, Statistics, Applied ...

Working directly with intelligence professionals, you will apply data science techniques to solve ... As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving ...

Working directly with intelligence professionals, you will apply data science techniques to solve ... As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving ...

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Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

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

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in Missouri? For Data Science New Grad jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Data Science New Grad jobs? Cities in Missouri with the most Data Science New Grad job openings:
Infographic showing various Data Science New Grad job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

bioMérieux

Hazelwood, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


bioMérieux rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

108th of 528 rated manufacturers


Job description

Description
bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical diagnostics.
The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve image processing and machine learning methodologies from design to optimization.
The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required.
The Data Scientist is expected to prototype and design to the goals of functionality and operational utility while considering long term architecture, solution universality, practicality, connectivity, and schedule commitments. The position requires the ability to perform critical analysis, work well in teams, and self-manage.
Primary Duties
  1. Responsible for completeing tasks within the Data Science function, requiring close collaboration and coordination with other global engineering/scientific disciplines, departments, and third-party partners
  2. Encourages best practices in Data Science and lead the utilization of advanced theories, methods and research techniques in product development and manufacturing
  3. Mentoring others in the department on technology, methods and programming language utilization
  4. Build relationships with external development partners and prospective technology partners; co-develop and drive projects with these partners
  5. Represent Data Science on project teams and provides inputs to Project Management on a project-by-project basis. Provide Project Team inputs back to a sub-team of Data Scientists
  6. Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data analytics, statistics and image processing
  7. Performance of statistical analysis to interpret experimental results
  8. Design experimental methods and plans to generate results that drive critical product design selections
  9. Independent Development and implementation of algorithms using global software development tools, methodologies and processes
  10. Understanding and willingness to self-learn the technologies used in this domain to be up-to-date with the latest developments in data analytics, image processing and machine learning both in academia and in industry
  11. Enjoy working in areas outside of usual comfort zone and love to learn new technologies. Familiarity with or interest in biology, microbiology and biochemistry
  12. Proficient analytical, problem-solving and debugging skills. Must be able to perform in small team environment with minimal supervision
  13. Perform all work in compliance with company quality procedures and standards
  14. Perform other duties as assigned

Qualifications
Required Education, Training, and Experience
  • Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering
  • 5 years of professional related experience with Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming expereince with Python or R, Code - samples to be provided upon request
Preferred Education, Training, and Experience
  • Masters or PhD preferred
  • Work Exerpience in ISO or FDA regulated environment preferred
Knowledge, Skills, and Abilities (KSAs)
  • Consistently upholds and reflects the core ethical principles and values that bioMérieux promotes
  • Effective Presentation Skills - including the ability to present technical data
  • Analyze data and make decisions/recommendations, using data to guide decision-making and provide suggestions for improvement
  • Critical thinking, using logic and reason to analyze information and make decisions in the workplace
  • Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives
  • Skilled in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel

Supervisory Responsibilities (Summary)
  • Direct supervision: 0
  • Indirect supervision: 0
  • Decision-making scope:
    • Short-term operational/tactical decisions with little-to-no supervisory review
    • Long-term strategic decisions require supervisory approval
Working Conditions (Summary)
  • Ability to remain in a stationary position for prolonged periods - Yes
  • Ability to wear PPE correctly most of the day - Yes
  • Typical office setting
  • Domestic travel: 10%
  • International travel: 0%
  • Total travel: 10%

The estimated salary range for this role is between $115,000 and $160,000. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer.
In addition, bioMérieux offers a competitive Total Rewards package that may include:
• A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
• Company-Provided Life and Accidental Death Insurance
• Short and Long-Term Disability Insurance
• Retirement Plan including a generous non-discretionary employer contribution and employer match.
• Adoption Assistance
• Wellness Programs
• Employee Assistance Program
• Commuter Benefits
• Various voluntary benefit offerings
• Discount programs
• Parental leaves
#LI-US
Please be aware that recruitment related scams are on the rise. Fraudulent job postings are being placed on other websites, and individuals posing as bioMérieux Talent Acquisition team members are reaching out via email or text message in an attempt to collect your personal and confidential information. In some cases, these scammers are also conducting bogus interviews prior to extending fraudulent offers of employment. Beware of individuals reaching out using general phone numbers and non-bioMerieux email domains (i.e. Hotmail.com, Gmail.com, Yahoo.com, etc.). If you are concerned that an interview experience or offer of employment might be a scam, please make sure you are searching for the posting on our careers site https://careers.biomerieux.com/ or contact us at [email protected].
BioMérieux Inc. and its affiliates are Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Please be advised that the receipt of satisfactory responses to reference requests and the provision of satisfactory proof of an applicant's identity and legal authorization to work in the United States are required of all new hires. Any misrepresentation, falsification, or material omission may result in the failure to receive an offer, the retraction of an offer, or if already hired, dismissal. If you are a qualified individual with a disability, you may request a reasonable accommodation in BioMérieux's or its affiliates' application process by contacting us via telephone at (385) 770-1132, by email at [email protected], or by dialing 711 for access to Telecommunications Relay Services (TRS).

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