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Data Science New Grad Jobs in Missouri (NOW HIRING)

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 ...

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

You will work closely with agentic AI teams to build the data science capabilities, measurement ... develop new business models. Joining this team offers the opportunity to lead cutting-edge AI ...

You will work closely with agentic AI teams to build the data science capabilities, measurement ... develop new business models. Joining this team offers the opportunity to lead cutting-edge AI ...

You will work closely with agentic AI teams to build the data science capabilities, measurement ... develop new business models. Joining this team offers the opportunity to lead cutting-edge AI ...

Senior‑level proficiency in Python and its data science and visualization ecosystem, including ... Experience identifying and implementing system enhancements, new capabilities, concept ...

Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ... Here, you can kickstart a great career in tech, gain new skills and experience for virtually every ...

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Data Science New Grad information

What is a data science new grad?

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?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist (Remote)

Kohl's

On-site

Full-time

Re-posted 29 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,462 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

Role Specific Information

Job Description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.

What You'll Do

  • Lead exploratory data analysis to cull actionable insights

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models

  • Fine-tune, optimize and ensure the scalability of models and algorithms

  • Aid in designing experiments to answer targeted questions

  • Identify and drive continuous improvement of key business metrics in an assigned business functional area

  • Drive adoption and usage of data science products and models

  • Translate data science outputs into business outcomes and value delivered

  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development

  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl's

  • Additional tasks may be assigned

Addendum

PERSONALIZATION & RECOMMENDATION SYSTEMS

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)

  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)

  • Develop multi-stage ranking approaches, including candidate generation and re-ranking

  • Address cold-start and long-tail challenges in large product catalogs

  • Partner with engineering to support real-time personalization and scalable deployment

Skills & Experience

  • Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products

  • Experience in developing sequential, transformer models and utilizing LLM models in production

  • Understanding of collaborative filtering and learning-to-rank methods

  • Experience optimizing models for GPU / distributed training

  • Familiarity with large-scale datasets and production ML systems

  • Exposure to real-time or low-latency serving environments

  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred

  • Experience with delivering end to end customized ML models in production environment

Required

  • Bachelor's Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 3+ years of progressively complex data science experience

  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods

  • Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Effective communication and collaboration skills at all levels

Preferred

  • Master's degree and/or Ph.D.

  • Retail and Logistics experience

  • Supply chain management

  • Marketing models

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the "What You'll Do" Section

  • Ability to comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to receive, understand and proactively respond to direction from leadership and other company personnel

  • Ability to work as part of a team and interact effectively and appropriately with others

  • Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes

  • Ability to satisfactorily complete company training programs

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

  • Ability to plan, prioritize and monitor activities across business units

  • Ability to complete or oversee the completion of assigned projects in a timely manner


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