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Geospatial Data Scientist Jobs in Iowa

Data Scientist Jobs
By SAP At , Palo Alto, 94304 $130,416 - $145,980 a year
Position requires experience, academic coursework, or internship in each of the following:
Create data visualizations using Excel, Tableau or Power BI;
Transform vague business problems into data-driven questions and identify and retrieve the relevant data set using multiple data source;
Take data as input and output actionable recommendations;
Prepare presentations, forecasts, trends and actionable insights to executive, business and technical teams using Microsoft PowerPoint or similar products;
Collaborate with engineers to define software products; and
Data Scientist Specialist Jobs
By Parsons At , Remote $81,500 - $142,600 a year
Design and test improved forecasting ensembling techniques, incorporating cutting-edge methodologies to advance the platform's predictive capabilities.
Minimum of 5 years of experience in data science, with a focus on infectious disease research and biosurveillance applications.
Proven experience in developing and enhancing software solutions using agile development methodologies.
Strong knowledge of nowcasting models, high-dimensional inference methods, and forecasting ensembling techniques.
Experience working with complex data sets and collaborating with cross-functional teams to define data input/outputs, metrics, and development storyboards.
Excellent problem-solving and analytical skills, with the ability to develop innovative solutions to complex challenges.
Sr. Data Scientist Jobs
By Pinterest At , Remote
Excellent communication skills and ability to explain learnings to both technical and non-technical partners
Information regarding the culture at Pinterest and benefits available for this position can be found
Familiarity with online experiment and its pitfalls
Statistical rigor, can guide the team and others on statistically valid approaches to problems
A team player who's able to partner with cross-functional leadership to quickly turn insights into actions
landing page to learn more.
Data Scientist Jobs
By Advance Local At , Remote
Minimum of two years’ experience manipulating data sets and building statistical models
Strong problem-solving skills with an emphasis on using disparate data sources
Experience using statistics, propensity model building, and algorithms to manipulate data and draw insights from large data sets
Experience working with and creating data sets
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks to recommend business-growth campaigns
Use predictive modeling to increase and optimize customer experiences, revenue generation, sales targeting and other business outcomes.
Data Scientist Jobs
By Adbakx At Waterloo, IA, United States
Tableau, Excel, SAS MDAW experience 1-3+ years
Reliability analysis and Databricks experience desired
Type and amount of experience necessary to perform the essential functions of the job. May include specific
• Internal or external industry specific experience in relevant discipline. - 1 - 3 years
• Data analytics experience. - 1 - 3 years
• Background or proven experience in mining data for analytics insights. - 1 - 3 years
Geospatial Technician Jobs
By Axim Geospatial At , Remote
Location is flexible: Axim Geospatial Headquarters, Regional offices, or work from home considered
Ensure the Data entry of site information and critical data is accurate
Bachelor's Degree or equivalent experience in related industry is preferred
Experience using GIS technologies and working closely with data sets and mapping software
Working knowledge of Adobe applications (Illustrator/Photoshop)
Expert knowledge of Microsoft Windows and Office environments is strongly preferred
Geospatial Analyst Jobs
By Maxar Technologies At , Tampa, Fl $45 an hour
Some experience and knowledge in Geographic Information Systems, including experience with the various geo-processing functions, data management, and data attribution.
Experience processing and analyzing remote sensing data, particularly satellite electro-optical and synthetic aperture radar.
Bachelor’s degree (any field) strongly preferred, but will accept current students and years of experience as substitute
Experience aggregating and manipulating spatial data, to include both vector and raster formats, in a consistent manner.
Bachelor's degree or certification in a geospatial discipline.
Organizational skills that allow for efficient multitasking.
Senior Geospatial Analyst Jobs
By Native American Technology At , Quantico, 22134, Va
Provides subject matter expertise on geospatial analysis, geospatial visualization, tailored map products, and geospatial data management.
Imagery Exploitation Software (SOCET GXP, RemoteView) and working knowledge of Cedalion.
Responsibilities include extracting and/or acquiring geospatial information, derivative information and multi-INT data for analysis, visualization and modeling.
This position requires strong collaboration skills with analyst, mission partners and customers.
Proficiency with digital cartography, image processing, computer technology, geographical information systems (GIS), geospatial production techniques, remote sensing, and photogrammetry.
Demonstrated knowledge of commercial imagery, products, processes and sensors

Are you looking for an exciting opportunity to use your geospatial expertise to make a real impact? We are looking for a Geospatial Data Scientist to join our team and help us unlock the power of geospatial data. You will be responsible for developing and implementing innovative geospatial data analysis techniques to solve complex problems. If you are passionate about geospatial data and have the skills to turn data into actionable insights, then this is the perfect job for you!

Overview:

A Geospatial Data Scientist is a professional who specializes in the analysis of geospatial data. They use their expertise in data science to develop insights and solutions from geospatial data. They are responsible for collecting, organizing, and analyzing geospatial data to identify patterns and trends. They also use their knowledge of geospatial data to develop predictive models and create visualizations.

Detailed Job Description:

A Geospatial Data Scientist is responsible for collecting, organizing, and analyzing geospatial data to identify patterns and trends. They use their expertise in data science to develop insights and solutions from geospatial data. They must be able to interpret and analyze data from various sources, including satellite imagery, aerial photography, and geographic information systems (GIS). They must be able to develop predictive models and create visualizations to present their findings. They must also be able to communicate their findings to stakeholders and other professionals.

What is Geospatial Data Scientist Job Skills Required?

• Knowledge of data science principles and techniques
• Knowledge of geospatial data and GIS
• Ability to interpret and analyze data from various sources
• Ability to develop predictive models and create visualizations
• Ability to communicate findings to stakeholders and other professionals
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Qualifications?

• Bachelor’s degree in data science, computer science, or a related field
• Experience with data analysis and visualization
• Experience with geospatial data and GIS
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Knowledge?

• Knowledge of data science principles and techniques
• Knowledge of geospatial data and GIS
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of software such as ArcGIS, QGIS, and Tableau

What is Geospatial Data Scientist Job Experience?

• Experience with data analysis and visualization
• Experience with geospatial data and GIS

What is Geospatial Data Scientist Job Responsibilities?

• Collect, organize, and analyze geospatial data to identify patterns and trends
• Develop insights and solutions from geospatial data
• Interpret and analyze data from various sources
• Develop predictive models and create visualizations
• Communicate findings to stakeholders and other