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Assistant Data Scientist Forecasting Jobs (NOW HIRING)

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... Lead end-to-end sales forecasting model development -- from data sourcing and feature engineering ...

Lorven Technologies, Inc.

Data Scientist

Tampa, FL

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 ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA

Market- Negotiable for right match As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for Client portfolios on Databricks (Azure). Work ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

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

Lorven technologies

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 ...

Walmart

Director, Data Science- Forecasting

Hayward, CA

$169K - $338K/yr

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

Walmart

Director, Data Science- Forecasting

San Jose, CA

$169K - $338K/yr

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

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 ...

Walmart

Director, Data Science- Forecasting

Fremont, CA

$169K - $338K/yr

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

Vantage Data Centers

Data Scientist, NA

Denver, CO

This role develops, operationalizes, and scales analytical models that improve forecasting accuracy ... The Data Scientist partners closely with Operations, Engineering, Capacity Planning, Finance ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

This role develops, operationalizes, and scales analytical models that improve forecasting accuracy ... The Data Scientist partners closely with Operations, Engineering, Capacity Planning, Finance ...

Tao Digital Solutions, Inc.

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 ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

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 ...

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

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 ...

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$46K

$165K

$243.5K

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

As of May 31, 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 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 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 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:
Assistant Data Scientist Forecasting jobs near you
Data Scientist

Data Scientist

Tanisha Systems, Inc.

Santa Clara, CA • On-site, Remote

Other

Posted 18 days ago

Job description

Data Scientist
Salary – Market (DOE)
REMOTE / Work From Home
Full-Time / Direct-Hire
As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for Client 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 Client 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 (DL) algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in building ML models in Client, 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)

Secondary Skills / Good to have
  • SQL & Data Engineering Fundamentals - Advanced SQL on Delta Lake / Azure Synapse; ability to build lightweight feature pipelines without full data engineering support
  • MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps pipelines to automate model retraining, evaluation gates, and deployment to Databricks Model Serving
  • Data Visualisation & Storytelling - Power BI, Plotly, or Streamlit dashboards to communicate forecast accuracy and business KPIs to non-technical stakeholders
  • Promotional & Trade Analytics - Modelling promotional uplift, baseline vs incremental volume splits, and trade spend ROI — key for Client forecast decomposition
  • Team Leadership & Mentoring - Guide junior data scientists, run code reviews, define modelling standards, and represent the data science function in cross-functional forums

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 Client 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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