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Assistant Data Scientist Forecasting Jobs (NOW HIRING)

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

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 ...

Data Scientist

Nashville, TN · On-site

$60K/yr

Data Acquisition, Cleaning & Preprocessing * * Assist in collecting, validating, and preprocessing ... Predictive Modeling & Forecasting * * Support senior data scientists in building and validating ...

Onsite - 5 Days / Week - Juno Beach Florida JD:- Principal Data Scientist - Load & Renewable Generation Forecasting Position Specific Description The IT Forecasting team is seeking a Principal Data ...

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

Comfortable using modern AI coding assistants (Cursor, Claude Code, GitHub Copilot, etc.) to ... Additional certifications in machine learning, data science, or related fields are a plus Location:

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

For example, you might spend a cycle deploying electricity market price forecasting pipelines for ... Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ...

For example, you might spend a cycle deploying electricity market price forecasting pipelines for ... Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ...

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

For example, you might spend a cycle deploying electricity market price forecasting pipelines for ... Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ...

Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ... series forecasting. * Develop end-to-end ML pipelines and support deployment of models into ...

Design, develop, and implement Generative AI solutions including chatbots and AI assistants. Work ... series forecasting. Develop end-to-end ML pipelines and support deployment of models into ...

... use cases such as forecasting anomaly detection NLP computer vision and recommendation systems Maintain compliance with security and governance standards for data management on AWSKey ...

... to forecast trends Identify patterns, anomalies, and opportunities for improvement Enable data ... scientist, or ML engineer role Strong foundation in statistics, probability, and data modeling ...

Data Scientist

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Analyze large-scale ...

... to forecast trends Identify patterns, anomalies, and opportunities for improvement Enable data ... scientist, or ML engineer role Strong foundation in statistics, probability, and data modeling ...

We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics ...

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Assistant Data Scientist Forecasting information

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$46K

$165K

$243.5K

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

As of Jun 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 are the key skills and qualifications needed to thrive as an Assistant Data Scientist Forecasting, and why are they important?

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 does an Assistant Data Scientist in 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 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? Cities with the most Assistant 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 Assistant Data Scientist Forecasting jobs? States with the most job openings for Assistant Data Scientist Forecasting jobs include:
Data Scientist

Data Scientist

Lorven technologies

Tampa, FL • On-site

$130K - $140K/yr

Full-time

Posted 3 days ago


Job description

Job Title: Data Scientist
Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite 
Full-Time
 
As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG market dynamics — and you are comfortable translating complex model outputs into clear business recommendations.
 
Skills / Experience:
  • 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production
  • 5+ years of experience in Python — Pandas, PySpark, scikit-learn, Azure ML or Azure ecosystem and Databricks experience in production
  • 5+ years of experience in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory optimization
  • 5+ years of experience in deep learning algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in building ML models in CPG, FMCG, or Retail analytics industry
  • 3+ years of experience in MLflow or equivalent experiment tracking tool 
  • Master's or PhD in Statistics, CS, or related field (preferred)
 
Job / Role Description:
  • Lead end-to-end sales forecasting model development — from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure)
  • Design and maintain forecasting pipelines — at SKU, category, and regional hierarchy levels — incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather)
  • Apply CPG domain knowledge — to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets
  • Operationalise ML models using MLflow on Databricks — manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts
  • Collaborate with commercial and supply chain teams — to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies
  • Define and enforce data science best practices — modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team
  • Mentor junior data scientists — conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture
  • Communicate model insights and forecast accuracy — to senior stakeholders through dashboards, executive briefings, and written reports — making complex model behaviour accessible to business audiences
  • Drive continuous model improvement — benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics
  • Partner with data and platform engineers — to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements
  • Communicate effectively with internal and customer stakeholders; Strong interpersonal skills to build and maintain productive relationships with team members
  • Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
  • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities
Expected Outcome / What Success Looks Like
  • Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us to strengthen our capabilities and drive growth in this area
  • Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions
  • This role offers the opportunity to lead high-impact data science initiatives that directly shape customer outcomes and gain strong visibility with senior leadership

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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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