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Applied Mathematics Computer Science Jobs in Iowa

... applied mathematics, statistics, engineering, physics, accounting, finance, economics or computer sciences with 2+ years directly applicable work experience. Minimum Qualifications Experience and ...

Accurately completes required materials management reports (BOL) using the computer and paper forms ... Applied Mathematics - 5 or higher. * Locating Information - 4 or higher. * Reading for Information ...

Shipping Operator

Altoona, IA · On-site

$23 - $26/hr

Accurately completes required materials management reports (BOL) using the computer and paper forms ... Applied Mathematics - 5 or higher. * Locating Information - 4 or higher. * Reading for Information ...

... and applied mathematics applications. * Conceptual Teaching & Problem-Solving: Skilled at ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Showing results 21-40

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, and may involve working in industries such as finance, technology, or research.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What are popular job titles related to Applied Mathematics Computer Science jobs in Iowa?

For Applied Mathematics Computer Science jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in Iowa look for?

The top searched job categories for Applied Mathematics Computer Science jobs in Iowa are:

What cities in Iowa are hiring for Applied Mathematics Computer Science jobs?

Cities in Iowa with the most Applied Mathematics Computer Science job openings:

Sr. Solutions Architect - Digital Native Business, Strategics

Socket.dev

Nevada, IA • On-site

$219.10 - $301.30/hr

Other

Posted 16 days ago


Job description

Description:

As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

  • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
  • Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. You will also help customers build solutions that integrate with cloud services, home grown tools, and other 3rd party applications.
  • Act as strategic technical advisor to customers to help them drive business outcomes.
  • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.
  • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community.

What we look for:

  • 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Experience building distributed data systems
  • Comfortable programming in and debugging Python and SQL
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in one of the following:
    • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
    • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
  • Available to travel to customers in your region
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • Nice to have: Databricks Certification
  • Location: Remote (Pacific Time preferred; Mountain Time considered).

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$219,100—$301,300 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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