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Full Time Stochastic Processes Jobs (NOW HIRING)

... stochastic processes) and simulation techniques (discrete event, agent-based, network, Markov ... ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety ...

... stochastic processes) and simulation techniques (discrete event, agent-based, network, Markov ... ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety ...

... money in the process. SPA has an near term need for a Data Scientist. This full-time in-person ... Desired experience of three years in a field requiring mastery of applied statistics or stochastic ...

... money in the process. SPA has an near term need for a Data Scientist. This full-time in-person ... Desired experience of three years in a field requiring mastery of applied statistics or stochastic ...

... money in the process. SPA has an near term need for a Data Scientist. This full-time in-person ... Desired experience of three years in a field requiring mastery of applied statistics or stochastic ...

Operations Analyst II

Groton, CT ยท On-site

$110K - $125K/yr

Position Type: Full-Time Salary: $110k-$125k annually (depending on experience) Work Location ... Queuing and stochastic-process models * Analytic hierarchy process * Develop and use mathematical ...

Operations Analyst II

Groton, CT ยท On-site

$110K - $125K/yr

Position Type: Full-Time Salary: $110k-$125k annually (depending on experience) Work Location ... Queuing and stochastic-process models * Analytic hierarchy process * Develop and use mathematical ...

Operations Analyst II

Groton, CT ยท On-site

$110K - $125K/yr

Position Type: Full-Time Salary: $110k-$125k annually (depending on experience) Work Location ... Queuing and stochastic-process models * Analytic hierarchy process * Develop and use mathematical ...

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Full Time Stochastic Processes information

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How much do full time stochastic processes jobs pay per year?

As of Jun 5, 2026, the average yearly pay for full time stochastic processes in the United States is $84,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Stochastic Processes Analyst, you need a solid background in mathematics, probability theory, and statistical modeling, typically supported by a relevant degree such as mathematics, statistics, or applied mathematics. Proficiency in technical tools like MATLAB, R, Python, and experience with stochastic simulation software are commonly required. Strong analytical thinking, attention to detail, and effective communication skills are vital for interpreting complex data and conveying insights to stakeholders. These abilities are essential for accurately modeling random systems and informing data-driven decision-making in industries such as finance, engineering, and operations research.

What are full-time stochastic processes jobs?

Full-time stochastic processes jobs are positions where professionals work primarily with mathematical models that involve randomness and uncertainty, such as Markov chains, Brownian motion, or Poisson processes. These roles typically require a strong background in probability theory, statistics, and mathematics, and are common in fields like finance, data science, engineering, and research. Job duties may include developing and analyzing algorithms, creating simulations, or applying stochastic models to real-world problems. Common job titles in this area include quantitative analyst, data scientist, research scientist, and applied mathematician.

What is the difference between Full Time Stochastic Processes vs Data Analyst?

AspectFull Time Stochastic ProcessesData Analyst
Required CredentialsMathematics, Statistics, or related degrees; often advanced certificationsStatistics, Data Science, or related degrees; certifications like SQL, Tableau
Work EnvironmentResearch labs, finance, insurance, academiaBusiness, finance, marketing, tech companies
Industry UsageModeling randomness, risk assessment, financial modelingData interpretation, reporting, decision support

Full Time Stochastic Processes focus on mathematical modeling of randomness and are often employed in finance and research. Data Analysts interpret data to inform business decisions. While both roles require statistical knowledge, stochastic processes are more theoretical, whereas data analysts are more application-oriented.

What are some common challenges faced by professionals working full-time in stochastic processes roles?

Professionals in full-time stochastic processes positions often encounter challenges such as translating complex mathematical models into practical solutions for real-world problems, especially when data is noisy or incomplete. Collaboration with interdisciplinary teams is common, requiring strong communication skills to explain probabilistic concepts to non-experts. Additionally, staying updated with the latest advancements in stochastic modeling and computational techniques is essential for continued success and growth in this field.
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Senior Manager Philadelphia (Hybrid) Full time role

Senior Manager Philadelphia (Hybrid) Full time role

Lorven Technologies

Philadelphia, PA โ€ข On-site

Full-time

Posted 2 days ago


Job description

Role: Senior Manager
Location: Philadelphia (Hybrid)
Experience: 5+ years
Full Time Role
Role Overview
We are looking for a Senior Manager - Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client.
This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.
Key Responsibilities
  • Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases.
  • Apply econometric techniques such as WLS, panel data models, and causal inference methods to solve real-world business problems.
  • Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making.
  • Utilize Markov chains and stochastic processes for modeling sequential or behavioral data.
  • Translate business problems into robust analytical frameworks and deliver actionable insights.
  • Work with large datasets using Databricks
  • Collaborate with stakeholders across business and technical teams to ensure model relevance and impact.
  • Mentor junior team members and drive best practices in statistical modeling and experimentation.

Must-Have Qualifications
  • Strong foundation in econometrics and time series analysis (this is critical for the role).
  • Hands-on experience with:
    • Time series models (ARIMA, SARIMA, VAR, forecasting techniques)
    • Econometric methods (WLS, regression diagnostics, panel data models)
    • Causal inference (A/B testing, quasi-experimental methods)
    • Bayesian statistics and probabilistic modeling
    • Markov chains or stochastic modeling
  • Proficiency in Python along with SQL.
  • Experience working with Databricks or similar big data platforms.
  • Ability to clearly communicate complex statistical concepts to non-technical stakeholders.

Secondary / Good-to-Have Skills (General Data Science)
  • Experience with machine learning models (classification, regression, tree-based models, etc.)
  • Familiarity with feature engineering, model validation, and performance tuning
  • Exposure to ML pipelines and MLOps concepts

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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