ZipRecruiter

Log In

1

Assistant Data Scientist Forecasting Jobs in Arizona

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... 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

  • Medical

  • Life

  • Retirement

  • PTO

... 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

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Zenotis Technologies INC

Data Scientist

Phoenix, AZ · On-site

We are seeking a highly analytical and hands-on Data Scientist to join a team building data-driven ... and Agentic AI. * Assist in designing and implementing AI-powered solutions using prompt ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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.

Pursuit Aerospace

Lead Data Scientist

Prescott, AZ · On-site

$144K - $198K/yr

  • Medical

  • Retirement

  • PTO

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management ...

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Participate in code reviews, technical discussions, and knowledge sharing. * Assist with data ...

Accenture

Senior Data Scientist

Scottsdale, AZ · On-site

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... forecasting, recommendation, anomaly detection, optimization, and related techniques. * Design and ...

New

USAA

Data Scientist Senior

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

These efforts will encompass exploring AI solutions that serve as intelligent work assistants ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

Shamrock Foods Company

Data Science Analyst

Phoenix, AZ · On-site

  • Medical

  • Retirement

  • PTO

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

  • Medical

  • Retirement

  • PTO

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

previous pagenext page

Showing results 21-40

All JobsData Scientist Forecasting JobsAssistant Data Scientist Forecasting JobsAssistant Data Scientist Forecasting Jobs in Arizona

Assistant Data Scientist Forecasting information

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 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 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 are the most commonly searched types of Data Scientist Forecasting jobs in Arizona? The most popular types of Data Scientist Forecasting jobs in Arizona are:
Assistant Data Scientist Forecasting jobs near you

Data Scientist II

Master Electronics

Phoenix, AZ • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 6 days ago

Job description

To be a family that uses our collective superpowers to do significant good.
Master Electronics has an exciting career opportunity for a Data Scientist.
As a Data Scientist, you'll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on pricing optimization, experimentation (A/B testing), and causal analysis that directly influence product and business outcomes.
What you will do?
  • Design, build, and refine pricing and optimization models, including dynamic pricing, price elasticity estimation, margin optimization, and demand forecasting, that directly drive revenue and profitability decisions
  • Own the experimentation lifecycle: design and run A/B and multivariate tests, define success metrics and guardrails, determine sample sizes and test duration, analyze results with statistical rigor, and communicate causal impact to stakeholders
  • Apply causal inference techniques (uplift modeling, difference-in-differences, synthetic controls, instrumental variables) where randomized experiments aren't feasible
  • Translate business problems into ML solutions; build models for prediction, classification, or recommendation; implement feature engineering, model training, hyperparameter tuning, evaluation, and deployment
  • Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing, and monitoring to ensure model quality and reliability
  • Partner with software engineers, data engineers, product managers, and subject-matter experts; present insights and recommendations to technical and non-technical stakeholders; translate complex analyses into clear narratives
  • Research and apply emerging ML techniques; contribute to improving team standards and mentoring junior team members

What you bring to the table!
  • 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of building and deploying ML models in production
  • Hands-on experience with pricing, revenue, or marketing optimization, such as price elasticity modeling, dynamic pricing, promotion optimization, or mathematical optimization methods
  • Demonstrated expertise in A/B testing and experimentation: hypothesis design, power analysis, sequential testing, guardrail metrics, and interpreting results under real-world constraints (novelty effects, interference, heterogeneous treatment effects)
    Hands-on Databricks experience for building and deploying data science workloads at scale
  • Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative fi eld, or a Bachelor's degree with 5+ years of equivalent professional experience
  • Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis
  • Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian methods
  • Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS (S3,Redshift, SageMaker), or similar services
  • Excellent communication skills; ability to explain complex technical concepts to both technical and business audiences and to collaborate effectively across teams
  • Demonstrated ability to work independently on complex problems, manage multiple projects simultaneously, and deliver results in a fast-paced environment
    Preferred Qualifications
  • Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations Research, Economics/Econometrics, etc.)
  • Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-list management in a distribution or catalog business
  • Familiarity with experimentation platforms (in-house or commercial, e.g., Optimizely, Statsig, GrowthBook)and metric frameworks
  • Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply chain, or logistics
  • Fluency with big data frameworks (Spark, Hadoop), streaming systems, and container/orchestration tools(Docker, Kubernetes)
  • Databricks certifications (e.g., Machine Learning Associate/Professional)
  • Knowledge of model explainability, interpretability techniques, and responsible AI

Why do you want to work with us?
Stay Healthy: World-class and affordable insurance plans ensure you and your family stay healthy
Secure Your Future: 401(k) match programwhere you are vested from day-one
Invest in Your Education: Tuition assistanceempowers you to further your education and career
Employee Assistance Program (EAP) and other incentives: Access to Perspectives, Healthcare Advocate, Working Advantage Discount Program, and more
Enjoy Work-Life-Harmony: Paid holidays, PTO accrual, Floating Holiday, and supportive personal and parental leave policies
Do Significant Good: Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community, and Employee Resource Groups
Provide Additional Financial Security: Company-funded and voluntary AD&D Life Insurance for you and your loved ones
If you want to learn more about our comprehensive benefits, visit: https://careers.masterelectronics.com/benefits-wellness
Equal Opportunity Employer
At Master Electronics, we thrive in a fast-paced, entrepreneurial environment where flexibility, professionalism, and a self-starter mindset aren't just preferred-they're essential. Headquartered in sunny Phoenix, AZ, we're a leading global authorized distributor of electronic components, and have been proudly family-owned for over 50 years.
What's our secret? It's simple: strong relationships, responsive service, and genuine added value. These principles have fueled our growth, allowing us to serve hundreds of thousands of customers in close partnership with world-class suppliers across the globe.
We're also deeply committed to building a workplace where everyone feels respected, supported, and empowered to succeed. Master Electronics is committed to providing equal employment opportunities for all applicants and employees. We do not unlawfully discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, marital status, creed, or any other protected characteristic.
We provide reasonable accommodations in compliance with the ADA and other applicable laws, and we strictly prohibit harassment of any kind.
This commitment applies to every part of our workplace-from recruitment and hiring to promotions, training, compensation, benefits, and even company events.

Apply