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Weekend Remote Data Scientist Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

In this role, you will collaborate with data scientists, analysts, marketing, sales, and ... This position is fully remote, requiring a reliable internet connection in a private setting.

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Data formats * APIs and ETL processes * Existing operational pipelines * Develop strategies to ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Jobgether

Define modelling approaches, biological endpoints, and data strategies that support better safety ... Fully remote-first working model with flexibility to work from the location that suits you best.

Jobgether

Working alongside experienced engineers, data scientists, and life science specialists, you will build scalable solutions with real-world scientific impact. This fully remote opportunity offers ...

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All JobsData Scientist JobsWeekend Remote Data Scientist JobsWeekend Remote Data Scientist Jobs in Missouri

Weekend Remote Data Scientist information

What is the difference between Weekend Remote Data Scientist vs Part-Time Data Analyst?

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

What is a weekend remote data scientist?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

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

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.
What cities in Missouri are hiring for Weekend Remote Data Scientist jobs? Cities in Missouri with the most Weekend Remote Data Scientist job openings:
Weekend Remote Data Scientist jobs near you

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Saint Louis, MO • Remote

$76K/yr

Full-time

Posted 7 days ago

U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience developing workflows or techniques to automate imagery, raster, and/or 3D data processing and exploitation activities
Experience with imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience developing remote sensing analytic techniques or tradecraft to solve scientific or operational intelligence problems
Experience developing and presenting findings to both technical and non-technical audiences via written reports and/or oral briefings
Experience collaborating across interdisciplinary teams to achieve operational and/or scientific objectives
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Experience researching and applying analytical techniques from published academic literature to operational remote sensing problems
Experience with software development or scripting (e.g., Matlab, Python, C++) to automate imagery, raster, and/or 3D data processing
Application of artificial intelligence, machine learning, computer vision, and/or automated feature extraction concepts to remote sensing data
Experience designing, operating, or calibrating satellite, airborne, or ground imaging systems and chemical analysis instruments
Experience with remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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