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Assistant Data Scientist Forecasting Jobs (NOW HIRING)

Analytica

Data Scientist

Bethesda, MD · On-site

$120 - $180/hr

Mentor junior analysts and data scientists in best practices for data science, forecasting, and ... statistical modeling. Requirements * Bachelor's degree in Data Science, Statistics, Applied ...

Cognizant

Data Scientist - Demand Forecasting

Plano, TX · On-site

$115 - $130/hr

About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...

Columbia Technology Partners

$120 - $180/hr

This Position is Contingent on Contract Award Description Columbia Technology Partners is seeking Data Scientists to develop advanced analytics, machine learning models, and data‑driven solutions ...

Omada Health

Staff Forecasting Data Scientist

Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability. This role will build and scale forecasting ...

Omada Health

Staff Forecasting Data Scientist

Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability. This role will build and scale forecasting ...

Robotics Technologies LLC

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

Key Responsibilities Model Development & Forecasting * Build, train, and deploy time‑series ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a ...

loomis

Data Scientist

Suwanee, GA

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

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Assistant Data Scientist Forecasting information

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

As of Aug 20, 2026, the average yearly pay for assistant data scientist forecasting in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an assistant data scientist forecasting do?

An Assistant Data Scientist in Forecasting helps analyze historical data and uses statistical models or machine learning techniques to predict future trends or outcomes. Their tasks often include data cleaning, exploratory analysis, feature engineering, and supporting the development and validation of forecasting models. They work under the guidance of more experienced data scientists and may also help communicate results to stakeholders. This role is essential for businesses looking to make data-driven decisions about sales, inventory, demand, or other key metrics.

What are the key skills and qualifications needed to thrive as an assistant data scientist forecasting?

To thrive as an Assistant Data Scientist Forecasting, you need a solid foundation in statistics, data analysis, and forecasting methods, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like Python, R, SQL, and forecasting libraries (e.g., Prophet, ARIMA), as well as experience with data visualization platforms, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex results and present actionable insights. These competencies are crucial to generate accurate forecasts that guide business decisions and drive organizational success.

What are some typical challenges assistant data scientists face when working on forecasting projects?

Assistant Data Scientists in forecasting often encounter challenges such as handling incomplete or noisy datasets, selecting appropriate modeling techniques, and tuning models for accuracy. They may also need to balance competing priorities between speed and precision, especially when deadlines are tight. Close collaboration with senior data scientists and domain experts is common, as it helps ensure that forecasts are both technically sound and aligned with business goals. Developing strong communication skills is essential for presenting complex findings to non-technical stakeholders.

What is the difference between Assistant Data Scientist Forecasting vs Data Scientist Forecasting?

AspectAssistant Data Scientist ForecastingData Scientist Forecasting
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles may prefer a master'sMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentSupportive team, entry to mid-level projects, supervised tasksIndependent project work, complex analysis, strategic decision-making
Employer & Industry UsageTech companies, finance, retail, healthcare; entry to mid-level rolesResearch institutions, large corporations, specialized analytics teams

The Assistant Data Scientist Forecasting role typically involves supporting forecasting projects under supervision, focusing on data preparation and basic modeling. In contrast, a Data Scientist Forecasting leads complex forecasting models, interprets results, and influences strategic decisions. The roles differ mainly in experience level, scope of responsibilities, and independence.

What cities are hiring for Assistant Data Scientist Forecasting jobs?

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What are the most commonly searched types of Data Scientist Forecasting jobs?

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Assistant Data Scientist Forecasting jobs near you

Staff Data Scientist, Forecasting

Pinterest, Inc.

San Francisco, CA • On-site

$164K - $339K/yr

Other

Re-posted 26 days ago

Job description

About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
What you'll do:
  • Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
  • Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
  • Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
  • Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high-visibility role with regular VP-level exposure.
  • Drive broader time-series impact beyond point forecasts-e.g., anomaly detection, automated root-cause analysis, campaign/channel attribution, and early-warning signals for business health.
  • Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
  • Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.

What we're looking for:
  • 8+ years of combined post-graduate academic and industry experience building and shipping production time-series/forecasting models with web-scale data.
  • A track record of delivering adjustable, well-calibrated, and explainable forecasting systems that informing decision-making.
  • Strong background in time-series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
  • Expertise in at least one scripting language (ideally Python).
  • Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
  • Business acumen and ownership mindset-able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
  • Excellent communication skills-able to distill complex analyses and uncertainty into concise narratives for executive audiences.
  • Proven technical leadership-success leading critical projects and materially influencing the scope and output of other contributors.

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:
  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$164,695-$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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