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Freelance Data Scientist Machine Learning Jobs in Kansas

Work closely with the data science team to create scalable and efficient data pipelines and algorithms. * Collaborate with software engineers to integrate machine learning models into production ...

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and ... data science experience may also be considered. * 2+ years professional experience with an open ...

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and ... data science experience may also be considered. * 2+ years professional experience with an open ...

Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our ... Lead the creation and optimization of advanced machine learning algorithms-from developing new ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Engineers/Data Scientists, Machine Learning engineers for ...

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Freelance Data Scientist Machine Learning information

What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Kansas? The most popular types of Data Scientist Machine Learning jobs in Kansas are:
What are popular job titles related to Freelance Data Scientist Machine Learning jobs in Kansas? For Freelance Data Scientist Machine Learning jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Freelance Data Scientist Machine Learning jobs? Cities in Kansas with the most Freelance Data Scientist Machine Learning job openings:
Senior Data Scientist

Full-time

Posted 11 days ago


Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

9th of 137 rated electronics manufacturers


Job description

Overview
We are seeking a full-time Senior Data Scientist at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for providing technical leadership and strategic project planning for data science initiatives related to new products, applications, or systems within the company. This role involves leveraging advanced data science techniques to drive innovation and deliver actionable insights that support business objectives. The Senior Data Scientist will collaborate with cross-functional teams, mentor junior data scientists, and ensure the successful implementation and integration of data-driven solutions.
Essential Functions
  • Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems
  • Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement
  • Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines
  • Collaborate with cross-functional teams, including engineering, product management and business stakeholders, to define project requirements and deliver data-driven solutions
  • Conduct advanced exploratory data analysis (EDA) to uncover insights, trends, and patterns in large and complex datasets
  • Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle
  • Evaluate and integrate new data science techniques, tools, and technologies to enhance the company's data capabilities
  • Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations
  • Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary
  • Champion best practices in data science, including data governance, model validation, and ethical AI considerations
  • Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency
  • Lead the development of custom machine learning models and algorithms tailored to specific business needs
  • Stay current with the latest advancements in data science, machine learning, and AI, and apply this knowledge to drive innovation within the company
  • Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines
  • Mentor and guide junior team members, sharing best practices and providing constructive feedback
  • Pioneer peer reviews and foster a culture of continuous improvement and learning
  • Develop and enforce data governance policies and procedures to ensure data integrity and security
  • Monitor compliance with data privacy laws and regulations and implement measures to protect sensitive information

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Extensive experience using systems such as SQL, Python, or R
  • Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Strong understanding of LLM fine-tuning, embeddings, and prompt engineering
  • Advanced experience with data visualization tools (i.e. Matplotlib, Seaborn, Tableau)
  • Demonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to complex data sets and real-world problems
  • Demonstrated expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Advanced experience with structured database management systems and distributed computing
  • Expertise in time series analysis, NLP, deep learning, or reinforcement learning
  • Leadership in MLOps, model deployment, and CI/CD for data science workflows
  • Familiarity with GenAI frameworks and libraries (e.g., Hugging Face Transformers, RAG architectures)
  • Proficiency in containerization and orchestration (Docker, Docker Compose, Kubernetes)
  • Experience building Streamlit applications for rapid prototyping or production use
  • Advanced understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Proficiency with cloud platforms (e.g. AWS, Azure, GCP) for data science workflows
  • Experience with real-time data processing technologies (e.g. Apache, Kafka)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Employment Benefits

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