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Remote Data Jobs in Missouri (NOW HIRING)

Jobgether

You'll work in a fast-paced, remote-first environment where experimentation, innovation, and measurable impact are highly valued. If you enjoy solving complex business problems with data and seeing ...

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 Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Kohl's

$112K - $148K/yr

Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes * Facilitate group discussions and team ceremonies and develop a shared context

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

As a Data Product Manager , you will lead and inspire cross-functional teams in the creation and ... Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ...

Brightli

Business Support Data Analyst

Springfield, MO · Remote

Springfield, Missouri (Remote) Department: Client Financial Services and Benefit Advocacy Services Employment Type: Full-time Job Summary: Are you passionate about turning data into meaningful ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

We're hiring a Senior Data Analys t to support our Corporate Headquarters in Columbia, MO and we're ... This position is fully remote. Primary Responsibilities * Apply operations research methodologies ...

Jobgether

$88K - $106K/yr

Fully remote, distributed-first work environment * High-impact role working on AI systems used at global scale * Opportunity to shape foundational data infrastructure for ML models * Collaborative ...

Jobgether

Fully remote work with global collaboration across multiple time zones. * One-year consultancy ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

MDS Solutions

REMOTE MDS Coordinator

Kansas City, MO · Remote

$33.50 - $42.75/hr

The role of the Remote MDS Coordinator is to work with our contract partners to plan, organize, and coordinate the completion of the Minimum Data Set (MDS) in accordance with current Federal and ...

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All JobsRemote Data JobsRemote Data Jobs in Missouri

Remote Data information

See Missouri salary details

$43.1K

$154.8K

$228.4K

How much do remote data jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote data in Missouri is $154,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Missouri? The most popular types of Data jobs in Missouri are:
What are popular job titles related to Remote Data jobs in Missouri? For Remote Data jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Missouri look for? The top searched job categories for Remote Data jobs in Missouri are:
What cities in Missouri are hiring for Remote Data jobs? Cities in Missouri with the most Remote Data job openings:
Remote Data jobs near you

Data Scientist Early Hire, Full Model Ownership, B2C SaaS

Jobgether

On-site, Remote

Full-time

PTO

Posted 12 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist Early Hire, Full Model Ownership, B2C SaaS based in Netherlands.

This is a unique opportunity to join a growing data team at an early stage and play a foundational role in shaping how machine learning and experimentation drive business outcomes. You will take full ownership of predictive models from problem definition through deployment, monitoring, and performance evaluation. Working closely with Product, Growth, Engineering, and Finance teams, you will help transform data into actionable insights that influence product strategy and revenue growth. The role offers significant autonomy, broad business exposure, and the chance to build scalable data science practices from the ground up. You'll work in a fast-paced, remote-first environment where experimentation, innovation, and measurable impact are highly valued. If you enjoy solving complex business problems with data and seeing your work directly influence company performance, this role offers exceptional ownership and visibility.

Accountabilities:
  • Design, build, validate, deploy, and monitor machine learning models that support key business objectives such as churn prediction, customer lifetime value forecasting, propensity modeling, uplift modeling, and recommendation systems.
  • Own the complete machine learning lifecycle, including feature engineering, model development, evaluation, deployment, monitoring, and continuous optimization.
  • Monitor production models, ensuring performance remains accurate and relevant as user behavior and product dynamics evolve.
  • Design and analyze experiments, including A/B tests and causal inference studies, to evaluate business impact and support data-driven decision-making.
  • Establish and improve experimentation frameworks, modeling standards, and best practices across the organization.
  • Collaborate with data engineering teams to productionize models through scalable data pipelines, feature stores, and robust deployment processes.
  • Translate analytical findings and model outputs into clear business recommendations for product, growth, finance, and leadership stakeholders.
  • Identify opportunities to leverage AI and machine learning to improve customer experiences, product performance, and revenue outcomes.
  • Ensure responsible use of customer data through privacy-conscious modeling practices and compliance with data governance standards.
Requirements
  • 3+ years of experience building, deploying, and maintaining machine learning models in production environments.
  • Strong proficiency in Python and SQL, with hands-on experience using modern machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
  • Solid understanding of statistics, experimentation methodologies, hypothesis testing, causal inference, and predictive modeling techniques.
  • Proven experience working on predictive use cases such as churn prediction, customer lifetime value forecasting, propensity modeling, recommendation systems, or related applications.
  • Demonstrated ability to own projects end-to-end, from business problem framing through production deployment and impact measurement.
  • Strong communication skills with the ability to explain complex technical concepts and analytical findings to non-technical stakeholders.
  • Comfortable working independently and making decisions in fast-changing, high-growth environments.
  • Experience collaborating with cross-functional teams across product, engineering, growth, and business functions.
  • Familiarity with MLOps practices, feature stores, real-time inference pipelines, or scalable machine learning infrastructure is a plus.
  • Experience within B2C SaaS, subscription-based products, marketplaces, or product-led growth environments is highly desirable.
  • Knowledge of product analytics platforms such as Amplitude, Mixpanel, or Segment is an advantage.
  • Exposure to recommendation systems, NLP, generative AI, or AI-powered product features is considered a plus.
Benefits
  • Fully remote position with the flexibility to work from the Netherlands and across eligible European locations.
  • Flexible working hours aligned with European business hours.
  • Competitive B2B contract arrangement.
  • 22 days of paid time off in addition to public holidays.
  • High level of ownership and autonomy with direct influence on product and business strategy.
  • Opportunity to build and shape a growing data function from an early stage.
  • Exposure to impactful machine learning initiatives with measurable business outcomes.
  • Collaborative and entrepreneurial work environment focused on innovation and continuous learning.
  • Close partnership with senior stakeholders and cross-functional teams across the organization.
  • Opportunity to contribute to the development of AI-driven products and experimentation capabilities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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