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Senior Data Scientist Forecasting Jobs (NOW HIRING)

As a Senior Data Scientist II, you'll own time-series forecasting for key business outcomes, develop measurement frameworks for evaluating competing growth initiatives, and build AI tooling to scale ...

Mentor senior analysts and data scientists and help establish analytics standards adopted across ... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ...

Mentor senior analysts and data scientists and help establish analytics standards adopted across ... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or ...

Senior Data Scientist

$120K - $140K/yr

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement ... Develop (and improve upon) robust and extensible production demand modeling, sales forecasting ...

... readiness forecasting, and mission-critical insights for Navy enterprise systems. Key ... in data science and leadership or senior technical role * Security+ Certification * Proven ...

... a Senior Data Scientist to join their central Data Science and Engineering team. This role will ... Responsibilities : • Develop Forecasting & Analysis Models: Build and deploy models for financial ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... readiness forecasting, and mission-critical insights for Navy enterprise systems. Key ... in data science and leadership or senior technical role * Security+ Certification * Proven ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... readiness forecasting, and mission-critical insights for Navy enterprise systems. Key ... in data science and leadership or senior technical role * Security+ Certification * Proven ...

The Senior Data Scientist on the Credit AI team at Ford Credit will lead the development and ... Build scalable predictive models, anomaly detection systems, forecasting solutions, recommendation ...

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Develop predictive models and statistical analyses to inform planning, forecasting, and decision ...

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Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

Senior Data Scientist Hybrid - West Des Moines, IA | Full-Time About Tractor Zoom We are committed ... Expertise in at least one subject area: computer vision, time series forecasting, deep learning ...

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate ... Develop predictive models and statistical analyses to inform planning, forecasting, and decision ...

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Develop predictive models and statistical analyses to inform planning, forecasting, and decision ...

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Develop predictive models and statistical analyses to inform planning, forecasting, and decision ...

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Showing results 1-20

Senior Data Scientist Forecasting information

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$41.5K

$142.5K

$201K

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

As of Jun 10, 2026, the average yearly pay for senior data scientist forecasting in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a Senior Data Scientist specializing in Forecasting do?

A Senior Data Scientist specializing in Forecasting is responsible for developing advanced models to predict future trends, demands, or behaviors based on historical data. They use statistical, machine learning, and time series methods to generate accurate forecasts that help organizations make data-driven decisions. In addition to building models, they also interpret results, communicate findings to stakeholders, and mentor junior team members. Their work is crucial for industries like retail, finance, and supply chain where anticipating future outcomes impacts strategic planning.

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

To thrive as a Senior Data Scientist Forecasting, you need advanced statistical modeling expertise, strong programming skills in languages such as Python or R, and a degree in a quantitative field. Experience with machine learning frameworks, time series forecasting tools (like Prophet, ARIMA, or TensorFlow), and data visualization platforms is typically required. Exceptional problem-solving ability, business acumen, and clear communication help translate complex analyses into actionable insights for stakeholders. These skills are crucial for generating accurate forecasts that drive strategic decisions and add measurable value to the organization.

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

AspectSenior Data Scientist ForecastingData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; experience in forecasting modelsBachelor's or Master's in relevant field; foundational data analysis skills
Work EnvironmentFocus on time series, predictive modeling, and forecasting projects within finance, retail, or supply chainBroader data analysis tasks across various domains, including descriptive analytics and data visualization
Employer & Industry UsageCommon in finance, retail, and logistics companies emphasizing demand and sales forecastingUsed across industries for general data analysis, reporting, and insights generation

The main difference between a Senior Data Scientist Forecasting and a Data Scientist lies in specialization and experience. The forecasting role requires expertise in predictive time series models and industry-specific forecasting applications, often at a senior level. In contrast, a Data Scientist typically handles a wider range of data analysis tasks with less focus on forecasting, making the senior forecasting role more specialized and advanced.

How does a Senior Data Scientist specializing in forecasting typically collaborate with cross-functional teams to improve predictive models?

As a Senior Data Scientist in forecasting, you'll regularly engage with cross-functional teams such as product management, engineering, and business stakeholders to understand forecasting needs and key metrics. You'll translate business objectives into technical requirements, share insights from model outputs, and work closely with data engineers to ensure data quality and pipeline efficiency. This collaboration helps refine predictive models, address real-world constraints, and ensure the forecasting solutions are actionable and aligned with business goals. Open communication and iterative feedback are crucial for driving impactful results and continuous model improvement.
More about Senior Data Scientist Forecasting jobs
What cities are hiring for Senior Data Scientist Forecasting jobs? Cities with the most Senior Data Scientist Forecasting job openings:
What are the most commonly searched types of Data Scientist Forecasting jobs? The most popular types of Data Scientist Forecasting jobs are:
What states have the most Senior Data Scientist Forecasting jobs? States with the most job openings for Senior Data Scientist Forecasting jobs include:
Infographic showing various Senior Data Scientist Forecasting job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 72% Full Time, and 26% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Data Scientist (I & II)

Other

Posted 23 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

AI for Analytics | Sr. Data Scientist II (L6)

Instacart is developing AI-powered systems to accelerate analytical work and enable self-serve analytics at scale, with a goal of 2x-ing the number of features launched by end of 2026. As a Senior Data Scientist II, you'll own product strategy and AI expertise-identifying high-impact opportunity areas and deploying AI and ML systems in production settings. This is a senior cross-functional leadership role: you'll shape the product roadmap, ruthlessly prioritize across competing stakeholders, and set the analytical direction for how Instacart's data experts and AI systems work together.

Order Experiences (Search) | Sr. Data Scientist I (L5)

The Order Experiences (Search) team is focused on making it fast and effortless for customers to find the right items and complete their order with confidence. As a Senior Data Scientist, you'll own the analytics and experimentation strategy that powers how we interpret customer intent and surface the most relevant results-driving search conversion, order rate, and GTV. You'll partner closely with Product, Engineering, and ML to shape the roadmap for search relevance and ranking quality, running experiments across retrieval, ranking, and search UX while connecting offline model evaluation to real-world business outcomes.

Ecosystems | Sr. Data Scientist II (L6)

The Ecosystems team tackles some of Instacart's most strategic macro-level analytical challenges, including quantifying the impact of economic trends, competitive dynamics, and seasonality on core business metrics. As a Senior Data Scientist II, you'll own time-series forecasting for key business outcomes, develop measurement frameworks for evaluating competing growth initiatives, and build AI tooling to scale analytics workflows across the team. This role also carries a technical leadership dimension-you'll set the methodological bar, mentor peers, and review analyses to drive rigor across the organization.

Delivery | Sr. Data Scientist II (L6)

The Delivery team is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize logistics. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#LI-Remote


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Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012