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Remote Bsc Mathematical Statistics Jobs (NOW HIRING)

Vivid

Applied probability theory and mathematical statistics knowledge - A/B tests, causal inference, etc ... We have a hybrid model in one of our offices, Limassol, or Almaty, or fully remote outside office ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Cadence

Data Lead - Remote Patient Monitoring

They are seeking a Data Analytics Lead for Remote Patient Monitoring to define KPIs and analytical ... Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or ...

EDETEK

Senior Statistical Programmer

Bachelor's degree in Statistics, Biostatistics, Mathematics, or a related field; Master's degree ... This is a remote position, and we are open to candidates based in the United States, Bulgaria ...

Kelly Services

Statistician II part-time

Summit, NJ · On-site +1

$75 - $100/hr

Salary/Pay Rate/Compensation: $75-$100 an hour, depending on experience Remote Part-Time: 10 hours ... Master's or PhD in Statistics or related Quantitative Sciences (preferred). * Possess 8+ years of ...

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Remote Bsc Mathematical Statistics information

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How much do remote bsc mathematical statistics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote bsc mathematical statistics in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote BSc Mathematical Statistics professional, and why are they important?

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 are Remote BSc Mathematical Statistics jobs?

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 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.

More about Remote Bsc Mathematical Statistics jobs
What cities are hiring for Remote Bsc Mathematical Statistics jobs? Cities with the most Remote Bsc Mathematical Statistics job openings:
What are the most commonly searched types of Bsc Mathematical Statistics jobs? The most popular types of Bsc Mathematical Statistics jobs are:
What states have the most Remote Bsc Mathematical Statistics jobs? States with the most job openings for Remote Bsc Mathematical Statistics jobs include:
What job categories do people searching Remote Bsc Mathematical Statistics jobs look for? The top searched job categories for Remote Bsc Mathematical Statistics jobs are:
Remote Bsc Mathematical Statistics jobs near you
Infographic showing various Remote Bsc Mathematical Statistics job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 84% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 12% Hybrid, and 5% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.
Product Analyst (Hybrid or Remote)

Product Analyst (Hybrid or Remote)

Vivid

On-site, Remote

Full-time

PTO

Posted 17 days ago

Job description

About The Role We are on a mission to continuously improve our products, identify and solve user problems and introduce new features to make financial management more straightforward and more rewarding. As a Product Analyst in the Anti-Financial Crime Team at Vivid, you will play a pivotal role in shaping the future of our products and services. Your Mission
  • Build and maintain a system of automated reports and tools.
  • Provide analytical support to the team, checking hypothesis and extracting insights from the data.
  • Take an active role in improving our internal Antifraud products: identify problems and behaviour patterns of our users, propose ways to solve them, and come up with new and enhanced existing rules and alerts.
  • Support new features launch: create metrics that reflect the feature\'s quality, and evaluate results.
  • Formulate hypotheses for A/B testing, design, analyse results.
  • Engage in effective communication with partners.
  • Track assigned projects\' progress.
  • Collaborate with adjacent teams to develop comprehensive cross-team solutions for products.
Your Profile
  • At least 3 years of work experience in an analyst role.
  • Advanced SQL knowledge.
  • Advanced knowledge of data visualisation tools (we use Tableau).
  • Ability to see a business meaning behind the data and communicate it in the clearest possible way (even if it\'s complicated topic).
  • Upper intermediate level of English.
Would be a plus
  • Applied probability theory and mathematical statistics knowledge – A/B tests, causal inference, etc.
  • Proficiency in using Python for data analytics (ex NumPy, Pandas).
  • Experience in risk, compliance, or anti-fraud fields.
Why Join Vivid?
  • We have a hybrid model in one of our offices, Limassol, or Almaty, or fully remote outside office locations.
  • We support relocation to Cyprus (visa, package) when needed.
  • Learning & development budget to support your professional growth. 
  • Fully paid vacation and sick leave. 
  • Sports compensation. 
  • Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one.
Enhance your expertise and shape the future of FinTech. Join Vivid\'s talented team and help us revolutionize how people think about their money! Compensation range Final compensation is determined individually, based on your experience, skills and the scope of the role, assessed against objective, gender-neutral criteria. About Vivid At Vivid, we\'re on a mission to change how businesses and individuals manage their money across Europe. For businesses, we build tools that actually make a difference: multi-IBAN accounts, high-yield savings, business cashback, team cards, and accounting integrations that save real time — all in one place. And for individuals, we offer a simple way to manage and grow your wealth: access to global stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights.
Our mission? Your success. Everyone deserves the chance to see their finances flourish, and we\'re dedicated to empowering our customers to make this a reality.
Founded in 2019 in Berlin by Alexander Emeshev and Artem Iamanov, Vivid has quickly grown into one of Germany\'s top financial platforms for SMEs and private accounts. Since then, we\'ve expanded rapidly across Europe, earning the trust of over 500,000 customers — and with over €200 million raised and a valuation of €775 million, we\'re just getting started.
We\'re building Vivid as an AI-native organization — across every function, from product to compliance to operations. Automation handles a growing share of day-to-day execution. For us, this means our teams can focus on architecture, strategy, and high-impact decision-making. This changes how we work: less manual execution, more ownership in building systems that scale. We want to help define what AI-native looks like in a regulated financial environment — and we\'re looking for people who want to build that future with us.

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