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Assistant Data Scientist Forecasting Jobs in Arizona

Ports North

Data Scientist

Phoenix, AZ · On-site

Data Scientist Position Summary We are seeking a Data Scientist to partner with business ... Develop personalization, recommendation, forecasting, and optimization solutions. * Support model ...

Koantek

Data Scientist

Chandler, AZ · On-site

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 ...

Koantek

Data Scientist

Chandler, AZ · On-site

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 ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

... data science best practices to identify opportunities for innovation. * Collaborate across ... forecasting, automation, and operational optimization. * Maintain thorough documentation of models ...

QuantumClean

Data Scientist

Phoenix, AZ

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... forecasting, and predictive cash flow modeling. * Design and implement classifier models to ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... forecasting, and predictive cash flow modeling. * Design and implement classifier models to ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

... demand forecasting, that directly drive revenue and profitability decisions * Own the ... data scientist or ML engineer, with a proven record of building and deploying ML models in ...

Lucid Motors

Senior Data Scientist

Phoenix, AZ · On-site

About the Role As a Senior Data Scientist, Field Quality , you will report to a Field Quality ... Familiarity with warranty forecasting, survival analysis, cost-per-vehicle modeling, fleet health ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

... demand forecasting, that directly drive revenue and profitability decisions * Own the ... data scientist or ML engineer, with a proven record of building and deploying ML models in ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

... demand forecasting, that directly drive revenue and profitability decisions * Own the ... data scientist or ML engineer, with a proven record of building and deploying ML models in ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

... Assist in querying data and creating metrics for product performance monitoring and analysis • ... science project methodologies • Strong Data analysis Skills • Thought Leadership skills • ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.

Achieve Company

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ... Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Familiarity with AI-based coding assistants like GitHub CoPilot, Cursor, Claude Code ... data science workflows. * Demonstrated expertise with common commercial analytics topics (e.g ...

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Assistant Data Scientist Forecasting information

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.

Assistant Data Scientist Forecasting jobs near you

Data Scientist

Phoenix, AZ • On-site

Ports North
See more jobs at Ports Northexternal

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Re-posted yesterday

Job description

Data Scientist Position Summary

We are seeking a Data Scientist to partner with business stakeholders and develop data-driven solutions that address complex business challenges. This role combines hands‑on model development with strong business acumen, requiring the ability to translate business needs into actionable analytics, predictive models, and recommendations.

Key Responsibilities
  • Partner with stakeholders to identify business challenges and develop data science solutions.
  • Translate business requirements into analytical frameworks and predictive models.
  • Build, test, validate, and optimize machine learning and statistical models.
  • Deliver insights and recommendations to both technical and non-technical audiences.
  • Develop personalization, recommendation, forecasting, and optimization solutions.
  • Support model deployment and ongoing performance monitoring.
  • Spend approximately 70% of time on analytics and business partnering and 30% on model development, testing, and refinement.
Required Qualifications
  • Proven ability to translate business challenges into practical data science solutions.
  • Strong stakeholder management and communication skills with the ability to influence decisions using data-driven recommendations.
  • Experience building predictive models, including:
    • Collaborative filtering and recommendation engines
    • Personalization models
    • Uplift modeling
    • Forecasting
    • Optimization techniques (linear and dynamic programming)
  • Hands‑on experience with:
    • Python
    • SQL
    • Spark
    • Databricks
    • Azure Data Lake Storage (ADLS)
    • SQL data warehouses
  • Ability to clearly explain past projects, business problems addressed, analytical approach, and measurable outcomes.
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