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Remote Time Series Analysis Jobs (NOW HIRING)

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

... time series analysis, regression, and ensemble learning Data Analysis * Conduct exploratory data ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

... using techniques such as time series analysis, regression, and ensemble learningData ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

campus4tech

SAP IBP Consultant

$64.50 - $88/hr

Configure and support SAP IBP Time Series Supply Planning, including optimizer setup and execution ... Perform cost modeling of key figures and analyze planning outputs. * Troubleshoot and explain ...

Jobgether

Bonus: experience with Java, time-series analysis, or large-scale advertising or real-time systems. Benefits: * Competitive compensation aligned with international remote engineering roles.

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

... time series analysis, regression, and ensemble learning Data Analysis * Conduct exploratory data ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with PyTorch or TensorFlow, specifically regarding Time Series analysis (forecasting ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$101K - $198K/yr

Time Series Analysis * Cloud Environment Reports To : Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in ...

Bread Financial

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

Time Series Analysis * Cloud Environment Reports To : Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in ...

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How much do remote time series analysis jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote time series analysis in the United States is $93,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $118,000.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI can automate routine data analysis tasks, but a remote time series analyst's role involves interpreting complex patterns, contextual understanding, and decision-making that AI cannot fully replicate. Data analysts will increasingly use AI tools to enhance their work, but human expertise remains essential for nuanced insights and strategic recommendations.

What is the difference between Remote Time Series Analysis vs Remote Data Analyst?

AspectRemote Time Series AnalysisRemote Data Analyst
Required SkillsStatistical modeling, time series forecasting, programming (Python/R)Data cleaning, visualization, basic statistical analysis
Work EnvironmentSpecialized analytics teams, remote roles in finance, tech, or researchBusiness units, marketing, finance, remote or office-based
Common CertificationsNone specific, but certifications in data science or analytics helpfulNone required, but certifications like Google Data Analytics beneficial

Remote Time Series Analysis focuses on forecasting and modeling time-dependent data, requiring advanced statistical skills. Remote Data Analysts handle broader data tasks like cleaning and visualization. Both roles often work remotely in similar industries but differ in technical depth and focus.

How to make 2000 a week working from home?

A remote time series analysis professional can earn $2000 weekly by securing high-paying freelance or contract projects, often requiring advanced skills in data analysis, programming, and tools like Python or R. Building a strong portfolio, gaining certifications, and networking on freelance platforms can help access such opportunities, which typically involve flexible schedules and project-based work.

Is 40 too late for data science?

Age is not a barrier to entering a remote time series analysis or data science role, as skills and experience are more important. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R. Continuous learning and building a strong portfolio can help overcome age-related concerns in the field.

What jobs use time series analysis?

Jobs that use time series analysis include data analysts, data scientists, financial analysts, and economists. These roles involve analyzing sequential data to forecast trends, detect anomalies, or inform decision-making, often using tools like Python, R, or specialized software. Strong statistical skills and experience with modeling are essential for these positions.
More about Remote Time Series Analysis jobs
What cities are hiring for Remote Time Series Analysis jobs? Cities with the most Remote Time Series Analysis job openings:
What are the most commonly searched types of Time Series Analysis jobs? The most popular types of Time Series Analysis jobs are:
What states have the most Remote Time Series Analysis jobs? States with the most job openings for Remote Time Series Analysis jobs include:
What job categories do people searching Remote Time Series Analysis jobs look for? The top searched job categories for Remote Time Series Analysis jobs are:
Remote Time Series Analysis jobs near you
Senior Product/Marketing Analyst

Senior Product/Marketing Analyst

The Global Talent Co

Remote

Full-time

Re-posted 12 days ago

Job description

Senior Product Analyst
Full-time, Remote
Check out The Global Talent Co.'s talent network: https://www.globaltalent.co/network
About Us:At The Global Talent Co., we provide opportunities to work with leading innovative technology companies worldwide, offering stable employment, competitive compensation, career growth, and access to a community of 25k+ like-minded marketing professionals.
The company you will work with is a fast-growing, data-driven organization focused on optimizing product performance and marketing effectiveness through advanced analytics. They specialize in e-commerce and subscription-based business models, leveraging cutting-edge data science tools to drive strategic decision-making. With a commitment to innovation and continuous improvement, the company empowers teams with actionable insights to accelerate growth and enhance customer engagement.
The Role
As a Senior Product/Marketing Analyst, you will play a pivotal role in driving data-informed decisions that directly impact product growth and marketing ROI. You will analyze complex datasets, design and interpret experiments, and collaborate closely with product and marketing teams to optimize business performance.
This role is ideal for a data-driven storyteller who combines strong technical skills with commercial insight and experimentation experience.
Key Responsibilities
  • Analyze product usage, user behavior, and marketing campaign performance with a focus on business impact, growth, and revenue optimization.
  • Collaborate with product managers and marketers to define commercial metrics, design and execute A/B or multivariate experiments, and translate results into actionable business strategies.
  • Develop and maintain dashboards and reports to track KPIs and provide insights that inform decision-making at the strategic level.
  • Build and deploy data pipelines and models to automate reporting and analysis processes.
  • Proactively identify and investigate data anomalies or trends affecting product and marketing outcomes.
  • Present findings clearly to stakeholders, translating complex data into business recommendations.
  • Contribute to the development and enhancement of data infrastructure and analytical tools in collaboration with the product analytics team.
Must-Have Qualifications
  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science); Master's preferred.
  • 7+ years of experience in product and/or marketing analytics with measurable business impact.
  • Strong understanding of statistical concepts (hypothesis testing, regression analysis, time series analysis).
  • Proficiency in SQL and experience working with large datasets.
  • Experience in designing, executing, and interpreting experiments (A/B, multivariate) in product or marketing contexts.
  • Strong problem-solving, analytical, and commercial acumen skills.
  • Excellent communication and presentation skills to translate complex data insights for non-technical stakeholders.
  • Experience with e-commerce businesses; experience with subscription-based models is a plus.
  • Technical proficiency with:
    • Python (Anaconda, Poetry/Pipenv or piplock)
    • Version Control: Git, GitHub, GitHub Actions
    • Infrastructure: AWS (S3, ECR, EKS)
    • Reporting & Visualization: Tableau, Streamlit
    • Workflow Orchestration: Prefect or Airflow
Nice-to-Have
  • Experience with MLflow, SpiceRack, Databricks
  • Familiarity with hyperparameter optimization (Ax, Optuna)
  • Experience contributing to data infrastructure and advanced analytics tools

This is your opportunity to make a tangible impact within a rapidly growing company dedicated to transforming the future of work. Join a team that values creativity, initiative, and results!
At The Global Talent Co., our mission is to bridge the gap between leading global tech companies and amazing global talent. We believe everyone deserves equal access to opportunities, regardless of the country they are born in.

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