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Remote Bsc Mathematical Statistics Jobs in Missouri

Strong knowledge of mathematical statistics and probability theory, with practical experience ... Fully remote, full-time work opportunity. * Competitive compensation, with the initial salary or ...

$65/hr

... statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced ... Remote Seniority level: MidSenior Level

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social ...

Actuary Manager (Remote)

Saint Louis, MO · On-site +1

$160K - $211K/yr

As a remote employee, you will be expected to work independently with minimal supervision ... Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related field is ...

Bachelor's degree in Business Administration, Mathematics, Statistics, Insurance, Finance, Economics, or a related field required. * Progress toward actuarial credentials (minimum of 2 actuarial ...

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related ...

IT Blockchain Intern

Kansas City, MO · On-site +1

$25K - $49K/mo

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ... Mathematics/Statistics or a related field. * Demonstrated interest/experience/developing in ...

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Remote Bsc Mathematical Statistics information

What is a remote BSc Mathematical Statistics job?

Remote BSc Mathematical Statistics jobs are positions that allow graduates with a Bachelor of Science degree in Mathematical Statistics to work from locations outside of a traditional office setting, often from home. These roles typically involve analyzing and interpreting data, creating statistical models, and supporting decision-making processes for organizations in industries such as finance, healthcare, technology, and research. Remote positions may include titles like data analyst, statistician, or research associate, and they often require strong mathematical, analytical, and computer skills. With advancements in technology, many employers now offer flexible, remote opportunities for qualified candidates in this field.

What are the key skills and qualifications needed to thrive as a remote BSc Mathematical Statistics professional?

To thrive as a Remote BSc Mathematical Statistics professional, you need a solid background in statistical theory, data analysis, and proficiency in mathematics, typically achieved through a bachelor's degree in mathematical statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS, and experience with data visualization tools are commonly required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting data and presenting findings to diverse audiences. These skills and qualities are vital for delivering accurate statistical insights and supporting data-driven decision-making in a remote work environment.

What are some common challenges faced by remote BSc Mathematical Statistics professionals and how can they be addressed?

Remote BSc Mathematical Statistics professionals often encounter challenges such as limited face-to-face collaboration, maintaining motivation, and effective communication across different time zones. To address these, it’s important to proactively engage with team members using collaboration tools, schedule regular virtual meetings, and establish a structured daily routine. Additionally, setting clear goals and utilizing project management platforms can help maintain productivity and ensure alignment with team objectives. Building a supportive network through online forums or professional associations can also enhance learning and growth opportunities.

What is the difference between Remote Bsc Mathematical Statistics vs Remote Data Analyst?

AspectRemote Bsc Mathematical StatisticsRemote Data Analyst
Required CredentialsBachelor's in Mathematical Statistics or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentRemote, often research-focused or modeling tasksRemote, data interpretation and reporting
Industry UsageResearch institutions, analytics firms, financeBusiness, marketing, healthcare, finance
Common Search/ComparisonYesNo

Remote Bsc Mathematical Statistics and Remote Data Analyst roles share similar educational backgrounds and remote work settings. However, Mathematical Statistics positions often focus on theoretical modeling and research, while Data Analysts typically handle data interpretation and reporting for business insights. Both roles are in high demand across various industries, but they serve different functions within data-driven organizations.

What are the most commonly searched types of Bsc Mathematical Statistics jobs in Missouri?

The most popular types of Bsc Mathematical Statistics jobs in Missouri are:

What are popular job titles related to Remote Bsc Mathematical Statistics jobs in Missouri?

For Remote Bsc Mathematical Statistics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Bsc Mathematical Statistics jobs in Missouri look for?

The top searched job categories for Remote Bsc Mathematical Statistics jobs in Missouri are:

What cities in Missouri are hiring for Remote Bsc Mathematical Statistics jobs?

Cities in Missouri with the most Remote Bsc Mathematical Statistics job openings:

Infographic showing various Remote Bsc Mathematical Statistics job openings in Missouri as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Senior Product Analyst

Jobgether

On-site, Remote

Full-time

Medical, PTO

This job post has expired today. Applications are no longer accepted.


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 Senior Product Analyst based in Netherlands.

This role offers the opportunity to shape product decisions through rigorous data analysis, experimentation, and research.
You will take ownership of the product metrics framework and ensure teams have reliable, consistent definitions for measuring performance.
The role combines advanced analytics, statistical methods, product research, and A/B testing to uncover opportunities and guide prioritization.
You will investigate anomalies, identify conversion bottlenecks, validate hypotheses, and translate complex datasets into actionable recommendations.
Working closely with Product and functional leaders, you will connect analytical insights to business outcomes and the company's north-star metrics.
You will also help strengthen data quality and experimentation practices so that important product decisions are based on trustworthy evidence.
This is a high-impact opportunity for an analytical professional who enjoys solving ambiguous problems and influencing product strategy through data.

Accountabilities
  • Own and continuously evolve the product metrics tree, ensuring consistent and clearly documented definitions across teams.
  • Validate metrics and dashboards, write clear specifications for Data Engineering, and ensure analytical requirements are correctly implemented.
  • Decompose north-star metrics into measurable components that individual teams can directly influence.
  • Conduct ad-hoc investigations into metric fluctuations, anomalies, conversion drop-offs, segmentation issues, and other product performance questions.
  • Identify bottlenecks, non-obvious behavioral patterns, and growth opportunities through structured data mining and analysis.
  • Validate product hypotheses and work with Product teams to prioritize problems according to their potential impact on key business metrics.
  • Design and evaluate A/B tests, including sample-size calculations, minimum detectable effect, test duration, randomization splits, and statistical validation.
  • Perform pre-test sanity checks and verify experiment splits before analyzing results.
  • Analyze experiment outcomes alongside relevant guardrail metrics and translate findings into actionable product recommendations.
  • Define data-tracking requirements and identify the events and instrumentation needed to support reliable experimentation.
  • Maintain an organized archive of experiments, findings, and recommendations.
  • Proactively identify data-quality issues and help prevent unreliable data from influencing product decisions.
  • Collaborate directly with functional and product leaders to turn analytical insights into measurable improvements.
Requirements
  • Higher education in mathematics, statistics, computer science, engineering, or another technical discipline.
  • Strong knowledge of mathematical statistics and probability theory, with practical experience applying statistical methods to business and product questions.
  • Proven experience extracting, processing, analyzing, and visualizing data using MS SQL, Python, and Excel.
  • Deep hands-on experience designing, running, and analyzing A/B tests and controlled experiments.
  • Strong understanding of marketing and product metrics and demonstrated experience applying them to evaluate performance and identify growth opportunities.
  • Strong analytical and problem-solving capabilities, with the ability to investigate complex or ambiguous questions independently.
  • Ability to translate large or complex datasets into clear insights and practical recommendations.
  • Strong attention to data quality, metric consistency, and analytical accuracy.
  • Excellent communication and collaboration skills, particularly when working with Product and cross-functional stakeholders.
  • Proactive mindset and ability to identify important questions and opportunities rather than simply responding to requests.
Benefits
  • Fully remote, full-time work opportunity.
  • Competitive compensation, with the initial salary or salary range shared during the recruitment process.
  • 28 calendar days of vacation per year.
  • 7 wellness days per year for personal needs, recovery, or household matters.
  • Referral bonuses of up to $5,000 for successful candidate recommendations.
  • 50% reimbursement for professional training, international conferences, and industry meetings.
  • Corporate discounts for English-language lessons.
  • Health support of up to $1,000 gross per year for employees who are not eligible for corporate medical insurance, usable toward health insurance or eligible healthcare expenses for themselves and close relatives.
  • Workplace equipment and support, including reimbursement of up to $1,000 gross every three years for home-office or coworking costs, depending on location.
  • Access to equipped workplaces and coworking facilities where available.
  • Internal gamified recognition program allowing employees to earn rewards such as merchandise, team-building activities, and massage certificates.
  • International and remote-first working environment with colleagues across different locations.
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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