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Remote Data Strategy Jobs in Arizona (NOW HIRING)

Data Migration Engineer

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

While this role is open to remote candidates within the US, we're initially prioritizing candidates ... data into the most strategic areas within Virtuous. Virtuous Data Migration Engineers manage ...

... strategy, life sciences research, and provider performance solutions. We sit in the middle of that ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Essential Duties And Responsibilities Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of ...

Business Strategy Analyst - Mid Level

Phoenix, AZ ยท On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

Business Strategy Analyst - Mid Level

Phoenix, AZ ยท On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Contribute cross-functional tasks such as financial modeling, executive presentations, strategic ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Contribute cross-functional tasks such as financial modeling, executive presentations, strategic ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Contribute cross-functional tasks such as financial modeling, executive presentations, strategic ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Support the implementation of strategies for ingesting structured and unstructured data from ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Support the implementation of strategies for ingesting structured and unstructured data from ...

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Remote Data Strategy information

What is the difference between Remote Data Strategy vs Remote Data Analyst?

AspectRemote Data StrategyRemote Data Analyst
Required CredentialsData-related certifications, such as CDMP or CBIP, and strategic planning skillsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentFocus on developing data strategies, policies, and high-level planning remotelyAnalyze data sets, generate reports, and support decision-making remotely
Employer & Industry UsageUsed in organizations to shape data initiatives and policies across departmentsEmployed in various industries to interpret data and provide insights

Remote Data Strategy professionals focus on creating data policies and strategic plans, while Remote Data Analysts interpret data to support business decisions. Both roles often work remotely and require data-related skills, but their core responsibilities differ significantly.

What are the most commonly searched types of Data Strategy jobs in Arizona? The most popular types of Data Strategy jobs in Arizona are:

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ โ€ข Remote

Full-time

Posted 29 days ago


Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.