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Data Scientist Opt Jobs in Arizona (NOW HIRING)

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa. Work ...

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa. Work ...

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa. Work ...

After successfully completing training, you may opt to enjoy a hybrid work schedule with work from ... Computer Science related field or commensurate work experience Compensation will depend on ...

Data Analyst I

Tucson, AZ · On-site

$24.16 - $36.24/hr

... including STEM OPT. All applicants MUST upload a resume to be considered for this position ... License/CertificationsPreferred QualificationsBachelor's degree in Computer Science, Geographic ...

Data Analyst I

Tucson, AZ · On-site

$24.16 - $36.24/hr

... including STEM OPT. All applicants MUST upload a resume to be considered for this position ... License/Certifications Preferred Qualifications Bachelor's degree in Computer Science, Geographic ...

Gemini, Llama * From the hiring team: "We want to see AI engineering, not data scientists ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Travel BA

Scottsdale, AZ · On-site

$50 - $54/hr

Analytics & Data Science Solutions * Big Data, EDM and Business Intelligence Solutions * Robotic ... USC/GC/H1B on C2C Only (No OPT & CPT) Payrate: $50-54/hr Passport Number is mandatory for ...

Analytics & Data Science Solutions * Big Data, EDM and Business Intelligence Solutions * Robotic ... USC|GC|H1B on C2C Only (No OPT & CPT) Payrate: $50-54/hr Passport Number is mandatory for ...

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Data Scientist Opt information

What is a data scientist opt?

Data Scientists are professionals who use statistical analysis, machine learning, and programming skills to extract insights from large and complex datasets. They work across industries to help organizations make data-driven decisions, often by building predictive models and visualizations. Data Scientists typically have expertise in mathematics, statistics, computer science, and domain knowledge relevant to their field. Their work often involves cleaning and preparing data, exploring patterns, and communicating findings to stakeholders. As businesses increasingly rely on big data, the role of Data Scientists has become critical to unlocking actionable information from raw data.

What are the key skills and qualifications needed to thrive as a data scientist opt, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a relevant degree in computer science, statistics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and SQL), machine learning frameworks (like scikit-learn or TensorFlow), and data visualization platforms is typically required. Excellent problem-solving abilities, effective communication, and curiosity help Data Scientists translate complex data findings into actionable business insights. These skills ensure you can extract meaningful value from data and communicate results clearly to drive decision-making.

What are some typical challenges data scientist opts face when collaborating with cross-functional teams?

Data Scientists often work alongside engineers, product managers, and business analysts, which can present challenges in aligning technical solutions with business goals. Communication is key, as translating complex data insights into actionable recommendations for non-technical stakeholders can be demanding. Additionally, ensuring data quality and managing expectations about project timelines are common hurdles. Being adaptable and proactive in fostering collaboration helps Data Scientists succeed in these environments.

What is the difference between Data Scientist Opt vs Data Analyst?

AspectData Scientist OptData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentResearch and development teams, data-driven projects, advanced analyticsBusiness units, reporting, data visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, government agencies

Data Scientist Opt and Data Analyst roles share some foundational skills but differ mainly in complexity and scope. Data Scientist Opt focuses on advanced analytics, machine learning, and predictive modeling, while Data Analysts primarily handle data reporting and visualization. Both roles are essential in data-driven organizations but serve different purposes based on project complexity and technical requirements.

What are popular job titles related to Data Scientist Opt jobs in Arizona?

For Data Scientist Opt jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Data Scientist Opt jobs?

Cities in Arizona with the most Data Scientist Opt job openings:

Sr. Data Analyst

Tempe, AZ • On-site, Remote

$115K - $145K/yr

Full-time

Medical, Dental, Vision

Re-posted 19 days ago


Key responsibilities

  • Develop and implement business improvements by analyzing loan portfolio, credit systems, and sales funnels to identify opportunities and risks.

  • Use statistical and predictive models, SQL, Python, and other tools to generate insights and support decision-making, including creating presentations for senior management.

  • Design and monitor credit risk processes and controls, and actively participate in implementing proposals to improve business outcomes.


Job description

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.

Job Description

As a Sr. Data Analyst, you'll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. This person must have excellent analytical capabilities in order to create accurate, thoughtful, clear recommendations that drive how we manage our business. Statistical Analysis, data mining, Advanced Excel, SQL & Python skills, effective communication skills, an entrepreneurial and proactive approach, exceptional time management and an ability to comfortably work with senior management are also critical for success in this role.

What you'll do:

  • Develop and implement business improvements, including:
    • Provide real time analysis of our loan portfolio and new loan originations to identify and understand items that could substantially impair portfolio returns
    • Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank partner focused compliance risks
    • Drive improvements in credit performance by finding pockets of low risk consumer where we can approve more loans
    • Use multivariate statistical/predictive models to conduct diagnostic analysis to answer key business questions
    • Analyze sales and digital application funnels to identify areas of opportunity to generate additional originations
  • Develop PowerPoint presentations that summarize your analysis and your recommendations.  Present your findings to VP level Executives. 
  • Measure the likely cost and benefit of business improvements
  • Leverage combination of following to drive actionable business insights: Financial modeling, SQL, Python, AI tools, hypothesis testing, statistical analysis and forensic analysis
  • Design portfolio monitoring, processes, and controls for managing credit risk and identifying root causes of changes in loan performance
  • Play an active role to drive your proposals all the way into implementation - you will be required to be hands on to make this happen and ensure your proposals deliver desired business results.
Qualifications

What you'll bring:

  • 5+ years of experience in data science, quantitative business analysis, and/or statistical analysis; or relevant Master's Degree / MBA with 2+ years of experience
  • MBA or Bachelor's Degree in Engineering, Scientific field, Finance, or Accounting
  • Self-starter with the ability to work efficiently under direction of manager
  • Experience leveraging PowerPoint to outline analytic results and make proposals
  • Understanding of how to leverage regression analysis and decision trees to prove merits of a proposed improvement
  • Strong MS Excel skills
  • Basic/Intermediate SQL skills
  • Basic Python skills
  • Understanding of decision trees, segmentation, regression and other intelligent decision models used to analyze customer response behaviors, interaction patterns and propensity
  • Minimum level of Math coursework:  Calculus 1, Statistics 1 (math problem solving skills required)

Preferred skills:

  • Prior experience in one or more of more of: business analysis or consulting
  • Advanced SQL querying skills
  • Data visualization tools
  • Ability to leverage AI to generate quicker insights
  • Coursework in Statistical Programming, Simulation, Regression
  • Knowledge of and ability to interpret Probability Distributions, Hypothesis Testing, Regression techniques like Logistic Regression, Confidence Intervals
Additional Information

Achieve well-being with:

  • Hybrid and remote work opportunities
  • Medical, dental, and vision with HSA and FSA options  

Note: We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa.

Work from home/hybrid:

We are proudly offering hybrid options in the Phoenix, AZ and San Francisco, CA metro market. We are offering 100% remote work in other approved locations.

Salary Range: $115,000 - $145,000 + bonus + benefits

This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.

Join Achieve, change the future.

At Achieve, we're changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you'll get to be a part of their journey to a better financial future. We're proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job-it's a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.


Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve's Talent Acquisition leader.