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Data science jobs provide great salaries, work flexibility and is predicted to grow significantly over the coming years.
Are you a teacher looking to guide your students in the right direction so they can succeed after high school? Or are you a high school student interested in a STEM-related rewarding career in something you love? Look no further than the exciting world of data science, analytics, and engineering. Businesses of all kinds rely on data literate employees to help drive business growth.
Becoming a data analyst or data visualization specialist is achievable for many if you’re not inclined to science, technology, engineering, or advanced mathematics. These roles still make excellent salaries, anywhere between $80,000-$120,000 per year.
Whether you’re a sports enthusiast, military tech enthusiast or beauty advocate, data skills will help you enter the career you desire. Here are 10 cool jobs that await you after graduation:
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1) MLB Predictive Analyst (Sports Data Analyst)
Modern baseball heavily relies on predictive analytics, which guide decisions related to player positioning, pitch selection, and other aspects of the game. The responsibility of a data analyst is to utilize advanced quantitative analysis and predictive modeling to enhance team performance and outcomes. By evaluating the batting, pitching, and fielding skills of individual players, teams can more precisely determine which players to acquire to bolster their existing strengths and address their weaknesses.
Baseball not your sport? A similar position exists for every sport with the sports analytics market anticipated to grow by 27.1% by 2030.
Average Salary Overall: $82,000
MLB Average Salary: $110,000
Some necessary skills for this role:
- Statistics
- Python
- SQL
2) Data Scientist for StitchFix (Fashion E-Commerce Data Scientist)
As a data scientist for StitchFix, you’ll help revolutionize the world of fashion e-commerce. Using machine learning and human expertise, you’ll generate innovative recommendations and insights that will change the way customers discover and purchase clothes online. Being successful in this field means being active and intuitive, discovering problems, and providing unique solutions that drive sales. With fashion being a female-dominated industry, this is one of the better data science jobs for ambitious young women.
Data Scientist Average Salary: $126,000 per year
Average StitchFix Salary: $158,000 per year
Some necessary skills for this role:
- Statistics
- Computer Science
- Python
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3) Autonomous Vehicle Engineer
Autonomous vehicles are the future of transportation, and this job involves working with cutting-edge technology to ensure that they operate safely and efficiently. As an autonomous specialist, you’ll use data to develop sophisticated algorithms that help cars drive themselves, while continuously improving the product and its safety.
Average Salary: $94,000 per year
Tesla Autopilot Engineer Salary: $120,000 per year
Some necessary skills for this role:
- Python
- Machine Learning
- AI & Robotics
4) Healthcare Data Engineer
A healthcare data engineer specializes in managing and organizing data within the healthcare industry. Their primary role is to design, build, and maintain the infrastructure and systems required to store, protect, process, and analyze healthcare-related patient data.
Average Salary Overall: $113,000 per year
Average Salary Blue Cross Blue Shield: $144,000 per year
Some necessary skills for this role:
- Microsoft Azure
- Python
- PySpark
5) Amazon Marketing Analyst
Amazon relies heavily on data to drive its marketing efforts, and as a marketing analyst, you’ll be a key player in this process. You’ll use data to optimize advertising campaigns, track customer behavior, and identify new marketing opportunities.
Average Salary Overall: $67,000 per year
Average Salary Amazon: $118,000 per year
Some necessary skills for this role:
- Microsoft Power BI
- SQL
- Statistics
- AWS
6) Machine Learning Engineer for Netflix
Netflix uses machine learning to personalize its content to each viewer. As a machine learning engineer, you’ll work on developing new algorithms and models that can recommend the perfect movie or TV show to each customer. From Netflix, “Data Science and Engineering at Netflix is aimed at improving various aspects of our business. Research applications span many areas including our personalization algorithms, content valuation, and streaming optimization.”
Average Salary Overall: $155,000 per year
Average Salary Netflix: $206,000 per year
Some necessary skills for this role:
- Python
- Machine Learning
- SQL
- AWS
Of the data science jobs on this list, this is often the most well-known.
7) Environmental Data Analyst
Environmental Data Analysts are specialists in analyzing data from environmental sources. They work with information such as ice core data, pollution levels, temperature records, and tree ring data. By providing a common language for environmental researchers and making data understandable for non-scientists, these analysts act as communication facilitators and educators.
Average Salary Overall: $74,000 per year
Average Salary Environmental Protection Agency: $123,000 per year
Some necessary skills for this role:
- Python
- Power BI
- Data Cleaning
8) Sephora Marketing Data Scientist
Cosmetic data scientists collect and analyze various types of data related to cosmetics, including sales, customer, product, social media, competitive, and supply chain data. By leveraging this data, they help cosmetic companies make data-driven decisions that improve their products, marketing efforts, and overall business performance.
Average Salary Overall: $126,000 per year
Average Salary Sephora: $172,000 per year
Some necessary skills for this role:
- Data Collection & Cleaning
- Python
- SQL
9) Canon Camera Deep Learning & AI Engineer
Canon has developed a deep-learning image processing technology, which is based on a neural network that operates through artificial intelligence (AI). The technology is focused on three areas: noise reduction, color interpolation, and aberration diffraction correction. Although noise reduction technology is not new, in the past, the removal of noise from images typically resulted in a loss of detail and a decrease in image quality. Canon claims that its deep learning technology allows for the removal of noise while maintaining clear, high-definition results with minimal deterioration.
Average Salary Overall: $141,000
Approximate Average Salary Canon: $185,000 per year
Some necessary skills for this role:
- Machine Learning
- Deep Learning
- Python
10) Anduril Military Technology Senior Machine Learning & AI Engineer
Anduril is a company that specializes in defense technology and brings together talent and funding from Silicon Valley to the defense sector. Their technology enables customers to make more informed decisions in life-and-death situations, solving their toughest challenges. Their team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis works together to create software and hardware solutions that significantly advance the defense capabilities of the United States.
This sector is so incredibly niche, it’s difficult to pinpoint an exact salary. The military itself often pays a lower salary in comparison to corporations that provide technology at this level.
Based on these salaries:
- Air Force Machine Learning Salaries
- Artificial Intelligence Salaries
- Senior Machine Learning Engineer (Non-Military Added Metrics) – This range would include roles like Machine Learning for Netflix and smaller competitors.
We estimate a targeted position like this may pay: $175,000-$250,000
That doesn’t include potential yearly bonuses for outstanding performance.
Some necessary skills for this role:
- Machine Learning & AI
- Deep Learning
- Niche Skills that would continue in college
Of all the data science jobs on this list, this is certainly one of the most interesting.
QuantHub, a K-12 Data Literacy Tool Focusing on Data Skills Foundations for Students
As you can see, there are plenty of opportunities in data science, analytics, and engineering that await you after high school. Whether you have a love for stats, technology, or the environment, there’s a cool job out there for you.
By developing your data skills with QuantHub, you can prepare yourself for a rewarding and fulfilling career in this exciting field pertaining to the industry you love most.