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Associate Data Science R Jobs in Iowa (NOW HIRING)

Data Science Associate

Des Moines, IA

$57K - $58K/yr

... science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data ...

... science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data ...

Data Science Tutor

Iowa City, IA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Partner closely with analysts, data scientists, and business stakeholders to translate analytical ...

Data Science Tutor

Ames, IA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Associate Data Engineer

Urbandale, IA · On-site

$106K - $127K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Partner closely with analysts, data scientists, and business stakeholders to translate analytical ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Partner closely with analysts, data scientists, and business stakeholders to translate analytical ...

Work with actuarial and data science software and technologies including MG-ALFA, Python, R, and ... As an Actuarial Associate, you could be responsible for a variety of tasks and learning ...

Work with actuarial and data science software and technologies including MG-ALFA, Python, R, and ... As an Actuarial Associate, you could be responsible for a variety of tasks and learning ...

Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data ... Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field * 8-10+ ...

Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data ... Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field * 8-10+ ...

Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data ... Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field * 8-10+ ...

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Associate Data Science R information

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or an associate data science R. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming in R or Python, understanding statistics, and completing certifications or courses. Employers value skills and experience over age, and continuous learning can help you succeed in the field regardless of when you start.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data analyst, data technician, or junior data scientist. These positions involve working with data collection, cleaning, basic analysis, and using tools like Excel, SQL, or Python. Additional certifications and hands-on experience can enhance job prospects in this field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to focus on the most impactful variables or tasks to improve model performance efficiently.

What jobs can I get with R?

With R skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These positions typically require proficiency in data manipulation, statistical modeling, and visualization, often using R packages like ggplot2, dplyr, and caret, and may involve working in industries like finance, healthcare, or technology.
What are popular job titles related to Associate Data Science R jobs in Iowa? For Associate Data Science R jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Associate Data Science R jobs in Iowa look for? The top searched job categories for Associate Data Science R jobs in Iowa are:
Data Science Associate

$57K - $58K/yr

Full-time

Posted 21 days ago


Job description

Company Description

Why Wellmark? 

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we've built our reputation on over 80 years' worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors-our members. If you're passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today! 

Learn more about our unique benefit offerings here. 

Want to know more? You can learn about life at Wellmark here.

Job Description

Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals. Collaborate with team  and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains. Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.

Qualifications

Required: 

  • For consideration, you must meet one of the following educational/technical requirements:
  • Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
  • Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
  • Strong formulas and data visualizations knowledge.
  • Exposure to business intelligence or analysis platforms.
  • Naturally curious and ability to drive business decisions and solutions.
  • Effective communication skills, both verbal and written, with the ability to present complex information.
  • Proactive, self-starter and can manage priorities through effective time management skills.

Preferred:

  • Master's degree.
  • Experience working with unstructured data sets.
  • Experience developing project roadmaps and timelines.
Additional Information

Job Responsibilities 

a. Participate in or conduct discovery sessions and stakeholder interactions to gain business understanding and identify business problem. Understand the project objectives and gather requirements to build a preliminary plan.

b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the business.

c. Profile and prepare data for analysis.

d. Build and execute models to analyze business outcomes, using tables, graphs, and charts, as well as algorithms, forecasts, and trends.

e. Interpret results, identify key findings to quantify business value.

f. Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.

g. Create, update, and maintain a production schedule for reporting and ensure reports and presentations are completed on schedule.

h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes.

i. Collaborate with peers to identify reporting objectives and develop reports and analyses that meet their need and drive Wellmark's value proposition for stakeholders.

j. Wrangle data from a wide variety of data sets and assemble into normalized and enriched data assets that enables new insights, solutions, and visualizations. Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation efforts, to understand data formats, source systems, file sizes, etc.

k. Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.

l. Other duties as assigned.

An Equal Opportunity Employer

The policy of Wellmark Blue Cross Blue Shield is to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact us at [email protected]

Please inform us if you meet the definition of a "Covered DoD official".

At this time, Wellmark is not considering applicants for this position that require any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please refer to the following resources:Nonimmigrant Workers and Green Card for Employment-Based Immigrants 

Wellmark supports and expects the responsible use of AI for our workforce! We welcome the responsible use of these tools by job seekers as well and are interested in learning from you; you will have an opportunity in the application process to share which tools you used and how you applied them.Â