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Data Scientist Forecasting Remote Jobs in New York, NY

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Allume

Data Scientist

Manhattan, NY · Remote

Remote (US-based preferred) Type: Full-time Lumi is seeking a talented Data Scientist to join our growing team. As a Data Scientist at Lumi, you'll be responsible for developing and implementing data ...

ALICE + OLIVIA

Data Scientist

Manhattan, NY · On-site +1

This role is focused on applied data science, decision-support modeling, and model ... forecasting. • Operationalize models within Palantir Foundry using Code Workbook and Code ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

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Data Scientist Forecasting Remote information

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$41K

$134.3K

$215K

How much do data scientist forecasting remote jobs pay per year?

As of May 27, 2026, the average yearly pay for data scientist forecasting remote in New York, NY is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist specializing in Forecasting in a remote role, and why are they important?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

How does a remote Data Scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What does a Data Scientist in Forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.

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

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Forecasting jobs in New York, NY? The most popular types of Data Scientist Forecasting jobs in New York, NY are:
What are popular job titles related to Data Scientist Forecasting Remote jobs in New York, NY? For Data Scientist Forecasting Remote jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Data Scientist Forecasting Remote jobs in New York, NY look for? The top searched job categories for Data Scientist Forecasting Remote jobs in New York, NY are:
Data Scientist Forecasting Remote jobs near you
Data Scientist (Remote)

Data Scientist (Remote)

Zenlaw

New York, NY • On-site, Remote

Contractor

Posted 17 days ago

Job description

About us
We're on a mission to bring contracts and any other long documents to the 21st century!
We're using AI to make these documents intelligible, abstracting what matters in them and detailing their content so that humans can manipulate them easily.
We've been working on this since the beginning of 2021, and have applications in Real Estate, Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as possible.
Position Description
At Zenlaw, we rely on data to guide our initiatives. This data helps to mold both our long-term strategy and our day-to-day operations. As a Data Scientist, you will be working with our engineering team to model complex problems and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and working on our ground-breaking AI models.
Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. As part of the team, you are free to use the approach you see fit while relying on your colleague's previous experience and expertise.
As a Data Scientist, you will:
  • Research new techniques and frameworks for NLP tasks
  • Design new experiments for data abstraction and categorization of sentences/paragraphs
  • Work with our lawyers to review initial results and implement pre and post-processing scripts to improve the accuracy of models
  • Run data analysis on our dataset to design potential rules for annotation.
  • Improve the architecture of data modeling and data tooling in partnership with Engineering and cross-functional business partners
  • Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
We are looking for a passionate Data Scientist with:
  • Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
  • 2+ years of industry work experience as an analyst, data scientist, or equivalent
  • Experience with training and deploying NLP deep learning models
  • Exceptional skills in Python, SQL, and any other programming language for data analysis and visualization.
  • Excellent written and oral English communication skills with experience evangelizing the value of leveraging data in making both strategic and product decisions
  • Experience with reporting systems and data pipeline architecture.
  • Demonstrated problem-solving experience with the ability to break down complex and unstructured problems into layman's terms
  • An online sample of your analytical and/or data visualization abilities is greatly appreciated.
    Nice to have:
    • Experience with Golang, and/or Git
    • Experience with SpaCy, Transformers, PyTorch, or similar NLP framework
    • Experience working with ontologies and knowledge graphs
    • Experience in MLOps
    • Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
You care about:
  • Ownership: you easily communicate ideas, implement them, and take responsibility for your actions
  • Helping others: sharing knowledge with your colleagues is on top of your priorities
  • Fast-paced startups: you love adapting to different situations, and you know how and when to iterate fast and with high quality
  • Our product: you believe in our vision, and are willing to give your best to build the future of Zenlaw
What we offer you:
  • Entrepreneurial responsibility and flat-hierarchies
  • Ownership of your work
  • Position 100% remote
  • Open-minded variety of nationalities
  • A collaborative, open workplace
  • Team Events

This is a remote position that can be done from anywhere. Due to the remote nature of this role, we are unable to provide visa sponsorship.

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