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Data Science Jobs in Portland, IN (NOW HIRING)

This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals ...

Design data models and structures that support efficient reporting, dashboards, and analytics use ... Bachelor's Degree in Engineering, Science, Information Systems, Finance or related field with at ...

This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals ...

This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals ...

Director, USDC Application Product

Portland, IN · On-site +1

$197K - $206K/yr

Partner with Marketing and Data Science on attribution, referral/viral mechanics, and paid/organic channel optimization * Partner with Compliance and Risk to ensure a fast, compliant consumer ...

Bachelor's degree in computer science, engineering, data science, or a related field * 8+ years of related experience in enterprise architecture, AI/ML engineering, data engineering, or large-scale ...

You'll collaborate with Data scientists, designers, product engineers, Dev Rel, marketing, and PMs to structure numerous growth initiatives. What you'll work on: * Drive Growth of the Arc Network ...

Principal Product Manager, TradFi

Portland, IN · On-site +1

$200K - $260K/yr

Partner closely with data science and analytics to define forecasting, modeling, and decision-support systems for digital asset flows, liquidity optimization, and capital efficiency. * Influence ...

Showing results 21-40

Data Science information

See Portland, IN salary details

$31.8K

$103.9K

$166.4K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Portland, IN is $103,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $115,100.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What cities near Portland, IN are hiring for Data Science jobs?

Cities near Portland, IN with the most Data Science job openings:

Infographic showing various Data Science job openings in Portland, IN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,920 per year, or $50 per hour.

Data Engineer - Data Services

Crown Equipment Corporation

New Bremen, OH • On-site

$118K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Crown Equipment Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 257 frontline employees who took The Breakroom Quiz

178th of 490 rated machine equipment manufacturers


Job description

Company Description:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Job Posting External

Primary Responsibilities

  • Analyze and evaluate existing or proposed systems and develop computer applications, systems, and related procedures.  
  • Prepare program specifications, encode, test, and debug computer applications.
  • Design, code, test, debug, install, document and maintain computer applications. 
  • Participate in peer code reviews to uphold coding standards. 
  • Create APIs to integrate between existing systems and customer applications.            
  • Interface with users to extract functional needs and determine requirements. 
  • Conduct detailed systems analysis to define scope and objectives and design solutions. 
  • Create documentation per internal standards. 
  • Work with customers to develop and write system requirements.
  • Project leadership, training, and testing.


Minimum Qualifications

  • Bachelor’s degree in Computer Science, Management Information Systems, or related field, along with at least 2 years of experience
    Non-degree considered if 12+ years of related experience along with a high school diploma or GED
  • Occasional travel (0-5%)
  • This role is on-site 4 days per week at the New Bremen, OH location

Preferred Qualifications

  • Strong experience designing, building, and supporting data solutions in Microsoft Fabric, including Lakehouses, Data Pipelines, Data Factory, Eventhouses, and OneLake.
  • Proficient in developing and maintaining end-to-end data pipelines for ingestion, transformation, validation, publishing, monitoring, and operational support.
  • Strong SQL expertise, including writing, optimizing, troubleshooting, and profiling queries for analytical and high-volume workloads.
  • Strong Python programming skills delivering scalable, reusable, and production-grade data engineering solutions using libraries such as Pandas, PySpark, Asyncio.
  • Solid understanding of data modeling principles and modern architecture patterns, including relational, dimensional, medallion, and lakehouse designs.
  • Experience working with Fabric Eventhouses and KQL, including log analytics, operational monitoring, alerting, troubleshooting, and performance optimization.
  • Hands-on experience monitoring and optimizing Fabric Capacity Unit (CU) consumption, workload performance, pipeline efficiency, and platform resource utilization.
  • Experience integrating data from internal and external sources using Copy Jobs, Dataflows, REST APIs, and other automated ingestion frameworks.
  • Proficient with Git-based source control and CI/CD practices, including GitHub and GitHub Actions, following DataOps and DevOps best practices.
  • Strong focus on data quality, reliability, operational ownership, analytical problem-solving, and effective communication with technical and business stakeholders.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.


No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

EOE Veterans/Disabilities


What Crown Equipment Corporation employees say

Pay

Benefits

Hours and flexibility

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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