Sensor Data Scientist in Missouri Career Overview

As a Sensor Data Scientist, you occupy an essential role at the intersection of data analytics and technology. You focus on interpreting and analyzing data collected from various sensor systems, which can include anything from environmental monitoring devices to advanced industrial machines. Your contributions are vital across multiple sectors, including healthcare, manufacturing, agriculture, and smart cities.

Key aspects of your role include:

  • Data Collection and Analysis: You gather data from multiple sensor sources, ensuring that the information is accurate and reliable for subsequent analysis.

  • Algorithm Development: Creating algorithms and models to process raw data into actionable insights enables businesses to make informed decisions.

  • Predictive Modeling: You apply statistical techniques and machine learning methods to forecast future events based on sensor data, thereby enhancing operational efficiency.

  • Collaboration and Communication: Working alongside engineers, IT professionals, and business stakeholders, you translate complex data findings into understandable terms that can drive strategic initiatives.

  • Innovation and Improvement: Your insights can influence the development of new technologies and processes, leading to enhanced product offerings and improved service.

In a world increasingly driven by data and automation, your role as a Sensor Data Scientist plays a significant part in fostering innovation and driving efficiency in various industries.

Sensor Data Scientist Salary in Missouri

Annual Median: $109,890
Hourly Median: $52.83

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education To Become a Sensor Data Scientist in Missouri

To become a Sensor Data Scientist, you typically need to complete specific educational qualifications along with relevant training. Below are the recommended degree programs and their relevance to the role:

  • Data Science: This program focuses on statistical analysis, data manipulation, and machine learning techniques, all of which are essential for analyzing sensor data. Courses may include data mining, predictive analytics, and data visualization.

  • Artificial Intelligence: This degree emphasizes machine learning, neural networks, and algorithms that can be directly applied to sensor data processing. Knowledge gained here can enhance your ability to develop intelligent systems that utilize sensor inputs.

  • Computer Science: A foundation in computer science is crucial for understanding programming languages, software development, and data architecture. This program often includes coursework in databases, algorithms, and systems design, which are relevant for managing and interpreting sensor data effectively.

  • Applied Statistics: This field focuses on various statistical methods and their applications in real-world scenarios, including sensor data analysis. You will learn techniques for designing experiments, hypothesis testing, and statistical inference, all of which are important for making data-driven decisions.

  • Computational Biology: Although this program is more niche, it can provide valuable insights into working with biological sensor data. This degree typically covers bioinformatics, data analysis methods, and modeling biological systems, which can be particularly useful when sensors are used in healthcare or environmental monitoring contexts.

Completion of one of these degree programs typically provides the foundational knowledge and training necessary to pursue a career as a Sensor Data Scientist. Additionally, engaging in internships, hands-on projects, or certification courses related to data science and sensor technologies can further enhance your qualifications in this field.

Best Schools to become a Sensor Data Scientist in Missouri 2024

#1Prince George's County

University of Maryland-College Park

College Park, MD

In-State Tuition:$9,695
Out-of-State Tuition:$37,931
Admission Rate:45%
Graduation Rate:89%
Total Enrollment:40,792
#2Los Angeles County

University of Southern California

Los Angeles, CA

In-State Tuition:$63,468
Out-of-State Tuition:$63,468
Admission Rate:12%
Graduation Rate:92%
Total Enrollment:48,945
#3Champaign County

University of Illinois Urbana-Champaign

Champaign, IL

In-State Tuition:$14,542
Out-of-State Tuition:$35,122
Admission Rate:45%
Graduation Rate:85%
Total Enrollment:56,916
#4Benton County

Oregon State University

Corvallis, OR

In-State Tuition:$10,425
Out-of-State Tuition:$31,200
Admission Rate:83%
Graduation Rate:70%
Total Enrollment:34,292
#5Orange County

University of California-Irvine

Irvine, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:21%
Graduation Rate:87%
Total Enrollment:35,937
#6Maricopa County

Arizona State University Campus Immersion

Tempe, AZ

In-State Tuition:$10,978
Out-of-State Tuition:$29,952
Admission Rate:90%
Graduation Rate:67%
Total Enrollment:80,065
Sensor Data Scientist Job Description:
  • Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security.
  • May develop new sensor systems, analytical techniques, or new applications for existing systems.

Sensor Data Scientist Required Skills and Competencies in Missouri

  • Data Analysis: You should be proficient in analyzing complex datasets to derive meaningful insights and trends. Familiarity with statistical methods and data mining techniques is essential.

  • Programming Languages: Knowledge of programming languages such as Python, R, and Java is necessary. These languages are commonly used in data manipulation and analysis.

  • Machine Learning: You must be capable of applying machine learning algorithms to build predictive models. A solid understanding of various algorithms and their appropriate applications is important.

  • Sensor Technology: Familiarity with different types of sensors, including environmental, industrial, and IoT sensors, will enhance your ability to analyze data collected from these devices.

  • Data Visualization: You should be adept at creating clear and impactful visual representations of data. Tools such as Tableau, Power BI, or Matplotlib can help you effectively communicate your findings.

  • Statistical Knowledge: A strong foundation in statistical theories and methods is essential to interpret data correctly and validate your analysis.

  • Problem-Solving Skills: You need to approach challenges methodically, using analytical thinking to diagnose issues and develop innovative solutions.

  • Domain Expertise: Having industry-specific knowledge where you apply sensor data science, such as manufacturing, healthcare, or smart cities, can significantly enhance your effectiveness.

  • Collaboration and Communication: You must be able to work collaboratively with cross-functional teams and clearly communicate complex findings to non-technical stakeholders.

  • Critical Thinking: You should be skilled in evaluating different approaches to data challenges and making data-driven decisions that will influence business outcomes.

  • Data Management: Proficiency in data management practices, including data cleaning, structuring, and storage, is essential for maintaining the integrity of your datasets.

  • Adaptability: The field of sensor data science is constantly evolving, so you should be open to learning new tools and techniques and adapting to changes in technology and methodology.

Job Duties for Sensor Data Scientists

  • Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).

  • Integrate other geospatial data sources into projects.

  • Manage or analyze data obtained from remote sensing systems to obtain meaningful results.

Technologies and Skills Used by Sensor Data Scientists

Analytical or scientific software

  • Calibration software
  • The MathWorks MATLAB

Object or component oriented development software

  • Objective C
  • Scala

Video creation and editing software

  • YouTube

Basic Skills

  • Reading work related information
  • Thinking about the pros and cons of different ways to solve a problem

People and Technology Systems

  • Figuring out how a system should work and how changes in the future will affect it
  • Thinking about the pros and cons of different options and picking the best one

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Job Market and Opportunities for Sensor Data Scientist in Missouri

  • The demand for Sensor Data Scientists in Missouri is on the rise, driven by the increasing integration of sensor technology across various industries including healthcare, manufacturing, and agriculture. As organizations seek to harness data from sensors for improved decision-making, the need for professionals who can interpret and analyze this data is growing.

  • Growth potential for Sensor Data Scientists in Missouri is bolstered by advancements in the Internet of Things (IoT) and big data analytics, both of which rely heavily on the expertise in sensor data. As these technologies evolve, the role of sensor data professionals will become even more sophisticated and essential.

  • Geographically, key hotspots for Sensor Data Scientist roles include:

    • St. Louis: Known for its vibrant healthcare sector, St. Louis is home to several hospitals and research institutions that are increasingly employing sensor technologies for patient monitoring and medical research.

    • Kansas City: This area is experiencing a tech boom, with a growing number of startups and established companies investing in smart city initiatives and IoT applications, creating a need for experts in sensor data analytics.

    • Columbia: The presence of the University of Missouri and its research programs support opportunities in agricultural sensor technologies and climate monitoring, attracting companies focused on precision agriculture.

  • Major employers in Missouri also encompass sectors such as transportation, where companies are utilizing sensor data for logistics and fleet management, and manufacturing, which is adopting smart manufacturing practices and automation.

  • Networking opportunities through local tech meetups, conferences, and industry partnerships can be beneficial for connecting with potential employers and staying informed about trends influencing the job market in sensor data science.

  • Collaborations between academia and industry in Missouri are fostering an environment ripe for innovation and research, further enhancing job opportunities for sensor data professionals looking to make a significant impact.

Top Related Careers to Sensor Data Scientist 2024

Earth Observation Analyst
Environmental Remote Sensing Expert
Urban Informatics Analyst

Additional Resources To Help You Become a Sensor Data Scientist in Missouri

  • American Statistical Association (ASA)
    Explore resources, publications, and networking opportunities tailored for data scientists across various fields.
    Visit ASA

  • Institute of Electrical and Electronics Engineers (IEEE)
    Find articles, journals, and conferences focused on engineering and technology systems, including sensor technology.
    Visit IEEE

  • Data Science Central
    A community offering resources, articles, webinars, and educational content for professionals in data science, including sensor data analysis.
    Visit Data Science Central

  • Kaggle
    Participate in data science competitions and gain access to datasets useful for practicing and honing your sensor data analysis skills.
    Visit Kaggle

  • Coursera
    Enroll in relevant courses related to data science, machine learning, and sensor analytics from top universities and institutions.
    Visit Coursera

  • edX
    Access a range of professional certificates and micro-degrees covering topics like data science, data analysis, and machine learning.
    Visit edX

  • GitHub
    Explore code repositories and projects related to sensor data science; collaborate, share, or contribute to open-source projects.
    Visit GitHub

  • Sensor Technology & Innovation Organization (STIO)
    Stay updated with industry news, research, and innovations in sensor technology through their resources and publications.
    Visit STIO

  • National Institute of Standards and Technology (NIST)
    Access research and standards regarding sensor technologies and data management practices that can enhance your technical knowledge.
    Visit NIST

  • LinkedIn Learning
    Pursue online courses focused on data science, analytics, and sensor technology to develop your skills in relevant areas.
    Visit LinkedIn Learning

  • Towards Data Science
    Read articles and tutorials written by professionals on a variety of data science topics, including sensor data analytics.
    Visit Towards Data Science

  • R-bloggers
    Keep up with the latest news, techniques, and tutorials in the R programming language, which is frequently used in data science and analysis.
    Visit R-bloggers

  • The Data Science Handbook
    Access practical advice, insights, and experiences from established data scientists in various industries.
    Visit The Data Science Handbook

Utilizing these resources will enhance your knowledge and skills as you pursue a career in sensor data science.

Frequently Asked Questions (FAQs) About Sensor Data Scientist in Missouri

  • What is a Sensor Data Scientist?
    A Sensor Data Scientist specializes in analyzing and interpreting sensor data collected from various devices, such as IoT sensors, wearables, and environmental monitors. This role involves developing algorithms and models to extract meaningful insights from large volumes of data.

  • What qualifications do I need to become a Sensor Data Scientist?
    Typically, you would need at least a bachelor’s degree in data science, computer science, engineering, or a related field. Many positions prefer candidates with a master’s degree or higher, along with proficiency in programming languages like Python and R, experience with machine learning, and familiarity with data analysis tools.

  • What skills are essential for a Sensor Data Scientist?
    Key skills include:

    • Proficiency in statistical analysis and data visualization.
    • Strong programming abilities in languages such as Python, R, and SQL.
    • Experience with machine learning algorithms and techniques.
    • Knowledge of sensor technologies and data acquisition systems.
    • Excellent problem-solving and critical-thinking skills.

  • Where can I find job opportunities as a Sensor Data Scientist in Missouri?
    Job opportunities can be found in various sectors, including healthcare, manufacturing, agriculture, and environmental science. Popular job boards, company career websites, and networking platforms like LinkedIn are excellent resources for finding positions specific to Missouri.

  • What is the average salary for a Sensor Data Scientist in Missouri?
    The average salary varies based on experience and location but typically ranges from $80,000 to $120,000 per year. Senior positions or those in high-demand industries may offer higher compensation.

  • What industries hire Sensor Data Scientists?
    Industries that commonly employ Sensor Data Scientists include:

    • Healthcare and biomedical research
    • Automotive and transportation
    • Smart cities and urban planning
    • Agriculture and environmental monitoring
    • Manufacturing and supply chain optimization

  • What are the career advancement opportunities for Sensor Data Scientists?
    As a Sensor Data Scientist, you can advance to senior data scientist roles, data engineering positions, or managerial roles overseeing data teams. With experience, you may also transition into specialized fields like machine learning engineering or artificial intelligence research.

  • Are there professional organizations or networks for Sensor Data Scientists?
    Yes, there are several organizations that provide networking opportunities, resources, and continuing education, such as the Data Science Association, IEEE Signal Processing Society, and various local data science meetups.

  • What tools and technologies should I be familiar with?
    Familiarity with tools like Python, R, MATLAB, and various data visualization software (e.g., Tableau, Power BI) is essential. Knowledge of database management systems (e.g., MySQL, PostgreSQL) and cloud computing platforms (e.g., AWS, Azure) is also beneficial.

  • How important is experience in machine learning for a Sensor Data Scientist?
    Experience in machine learning is highly important as it allows you to create predictive models and understand complex patterns within sensor data. Many organizations seek candidates who have proven expertise in applying machine learning techniques to real-world data problems.