Jobs in Tech 101

Data Science

Do you love solving puzzles, finding answers to questions, and using data, statistics, and software to do it?

Data Science
Data Science might be the field for you if:

Data science professionals enjoy extensive thinking about how data can solve abstract problems. To do so, they must also show a strong interest in ongoing education and research to continue to stay up to date in the field. Data science professionals are curious and voracious learners. 

Tyler Foxworthy, Chief Scientist Fellow at DemandJump

“I only take on the hard problems, the ones that are ill-defined, have messy data, and no clear algorithmic solution. I love the challenge of finding elegant solutions to very complex problems and automating them.”

Sound interesting? Here are some occupations in this field:
Data Scientist

Data scientists design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, manage and organize them.

Data Engineer

Data engineers build massive reservoirs for big data. They develop, construct, test and maintain architectures such as databases and large-scale data processing systems.

Machine Learning Engineer

Machine learning engineers typically have stronger software engineering skills than data scientists and work with engineers to maintain production systems.

A Data Scientist's day might include:
8:00 AM

Meet with the customer success team to get feedback about a new product issue we can help solve

Prepare a visual analysis to explain a new language process my team created for our product

Start coding to perform and automate statistical analyses

12:00 PM

Continue coding in a quiet environment to allow for focused work

Engage with my manager for a review of my code and process development

Wrap up the day by reading a recent article on new data science methodologies

8:00 AM

Meet with the customer success team to get feedback about a new product issue we can help solve

Prepare a visual analysis to explain a new language process my team created for our product

Start coding to perform and automate statistical analyses

12:00 PM

Continue coding in a quiet environment to allow for focused work

Engage with my manager for a review of my code and process development

Wrap up the day by reading a recent article on new data science methodologies

You could work at a company like:

Meet Luke Zhang, Machine Learning Engineer at DemandJump

Luke Zhang loves to solve problems with data. Read about why he chose Indy for his data science career.

Read More

Meet Charlene Tay, Data Scientist at High Alpha

Charlene was excited by how the field of data science is a promising way of applying curiosity and technical tradecraft to create value from data. She earned her MS in Data Science from Indiana University and now works at High Alpha.

Read More

Meet Zachary Cardwell, Data Scientist at Springbuk

Zachary says nothing is more exciting than finding an elegant answer to a difficult problem. Read about his career in tech from IT analyst to data scientist.

Read More

Data scientist Mark Clerkin’s journey, gamble and dream

Ten years ago, I left Indianapolis in pursuit of a dream to join the most cutting-edge team I could possibly find. That search led me to Chicago, London, and back again. Along the way I worked with brilliant people, implemented cutting-edge technologies, and had some tremendous success. The journey has now brought me and my family back to Indianapolis where I plan to utilize all I have learned in order to create a world-class data science team at High Alpha.

Read More
Ready to see some jobs?

An undergraduate or graduate degree in Math, Statistics, Computer Science, or another quantitative discipline is usually required. Coursework in Linear Algebra, Calculus, Probability, Discrete Mathematics, Graph Theory, Statistical Modeling, Bayesian Analysis, Time Series Analysis, Data Structures and Algorithms, Numerical Methods, Machine Learning, and Data Mining is encouraged.

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Jobs in Tech 101 Start exploring tech- and business-skilled occupations:
Product Development

Product development professionals love building products, automating inefficiencies, and solving problems.

Data Science

Data scientist professionals enjoy extensive thinking about data and abstract problems.

Design

Designers are passionate about crafting beautiful, functional user experiences.

Product Management

Product managers get excited about guiding the success of a product and leading the cross-functional team that is responsible for improving it.

IT & Cybersecurity

IT and cybersecurity professionals build and maintain the security of complex computer networks and databases.

Customer Success

Customer success professionals enjoy building relationships, and take pride in being the voice of the customer.

Support

Support professionals have respect for all clients and team members, and enjoy engaging with people via phone and email to help them solve problems.

Sales

Sales professionals have a will to win and a knack for influencing and building relationships with people.

Marketing

Marketing professionals crafting communications or experiences that inspire, inform, and influence people.

Finance

Finance managers have a passion for working with financial data and interpreting how a business makes money.

HR & Office Admin

HR & office administration professionals have a passion for making sure the workplace is functional, comfortable, and efficient.

Product development professionals love building products, automating inefficiencies, and solving problems.

Data scientist professionals enjoy extensive thinking about data and abstract problems.

Designers are passionate about crafting beautiful, functional user experiences.

Product managers get excited about guiding the success of a product and leading the cross-functional team that is responsible for improving it.

IT and cybersecurity professionals build and maintain the security of complex computer networks and databases.

Customer success professionals enjoy building relationships, and take pride in being the voice of the customer.

Support professionals have respect for all clients and team members, and enjoy engaging with people via phone and email to help them solve problems.

Sales professionals have a will to win and a knack for influencing and building relationships with people.

Marketing professionals crafting communications or experiences that inspire, inform, and influence people.

Finance managers have a passion for working with financial data and interpreting how a business makes money.

HR & office administration professionals have a passion for making sure the workplace is functional, comfortable, and efficient.