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Data Product Owner Remote Jobs in Alabama (NOW HIRING)

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced ... Collaborate with product managers, business analysts, and engineering teams. * Validate model ...

We provide small business owners with a suite of business management tools such as booking and ... Collaborating with leaders across Product, Design, Analytics Engineering, Data Engineering, and the ...

Remote, M-F 8 AM - 5 PM Reports to: Head of Smart Building Services, Americas Estimated ... data and coordinating corrections with site contacts, integrators, and product owners. * Support ...

You will have the unique opportunity to solidify our market-leading OMS product while also ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

You will have the unique opportunity to solidify our market-leading OMS product while also ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Our products empower clients to reach new levels of efficiency through integration and process ...

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Our products empower clients to reach new levels of efficiency through integration and process ...

New

Scrum Master II

Birmingham, AL · On-site +1

$48.25 - $64.50/hr

Partners with Product Owners and business stakeholders in managing the backlog and guiding the team ... Remote work arrangements may apply per company policy. LICENSES & CERTIFICATIONS SAFe Scrum Master ...

... product requests, working with other team members. * Provides continuous feedback to clients and ... remote support in Data Center technologies. * Entry level experience in relevant technology.

$55K - $100K/yr

But here's the catch: too many pet owners grab a product online and then flounder-unsure how to use ... Live: Work from home in a global remote environment to have more time for what really matters ...

Showing results 21-40

Data Product Owner Remote information

What does a data product owner do when working remotely?

A Data Product Owner working remotely is responsible for defining the vision and requirements of data-related products or solutions. They act as the main point of contact between stakeholders, data engineering teams, and business units, ensuring that data products align with business goals. Their duties include prioritizing features, managing the product backlog, and making decisions about data product development. Remote Data Product Owners use digital collaboration tools to communicate, coordinate projects, and monitor progress from a distance.

What are some common challenges faced by remote data product owners, and how can they overcome them?

Remote Data Product Owners often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication of data requirements, and maintaining alignment on project goals. To overcome these obstacles, it's important to establish regular virtual check-ins, use collaborative tools for documentation and feedback, and foster transparent communication channels. Being proactive in stakeholder engagement and setting clear expectations can also help ensure that data products are delivered effectively and meet business needs.

What are the key skills and qualifications needed to thrive as a remote data product owner, and why are they important?

To thrive as a Data Product Owner (Remote), you need a solid understanding of data analytics, product management, and business strategy, often supported by a relevant degree and experience in agile environments. Familiarity with data visualization tools (like Tableau or Power BI), product management platforms (such as Jira or Trello), and sometimes certifications like Certified Scrum Product Owner (CSPO) are typically expected. Exceptional communication, stakeholder management, and problem-solving skills help drive alignment and deliver value in distributed teams. These competencies are crucial for translating business goals into actionable data solutions and ensuring successful, user-focused product outcomes.

What is the difference between Data Product Owner Remote vs Data Analyst Remote?

AspectData Product Owner RemoteData Analyst Remote
Required CredentialsTypically requires a background in data management, product management, or related certifications like CBIP or PMPOften requires a degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentCollaborates with cross-functional teams, manages product lifecycle, and prioritizes data initiatives remotelyAnalyzes data sets, creates reports, and provides insights, often working independently or with teams remotely
Employer & Industry UsageUsed in tech, finance, healthcare industries for managing data products remotelyCommon across various industries for data analysis roles in remote settings

The main difference is that a Data Product Owner Remote focuses on managing data products and aligning them with business goals, while a Data Analyst Remote primarily analyzes data to generate insights. Both roles are often remote, but their responsibilities and required skills differ significantly.

What are the most commonly searched types of Data Product Owner jobs in Alabama?

The most popular types of Data Product Owner jobs in Alabama are:

What are popular job titles related to Data Product Owner Remote jobs in Alabama?

For Data Product Owner Remote jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Data Product Owner Remote jobs?

Cities in Alabama with the most Data Product Owner Remote job openings:

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 25 days ago


Job description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6–10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 – $170,000 per year (Based on experience and location)