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Data Translator Jobs in Texas (NOW HIRING)

Data Scientist - eCommerce

San Antonio, TX ยท On-site

$120 - $180/hr

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... Orchestrates reusable storytelling methodology to apply toward AI translation * Applies an ...

... data translation, and data cleanup as part of larger projects to implement new SharePoint repositories. Perform regular on-call duties Participate in Design and Code Reviews Follow and enhance ...

Sr Product Manager -

Austin, TX ยท On-site

$111K - $186K/yr

Data literacy. Comfortable pulling and interpreting data from Amplitude, Tableau, and Snowflake to form and support product decisions - without a data translator or relying on others to build KPI ...

Sr Product Manager -

Austin, TX ยท On-site +1

$111K - $186K/yr

Data literacy. Comfortable pulling and interpreting data from Amplitude, Tableau, and Snowflake to form and support product decisions - without a data translator or relying on others to build KPI ...

... data science ... ICADS brings together expert mentors from across Moffitt's discovery, clinical, translational ...

Showing results 21-40

Data Translator information

See Texas salary details

$25.6K

$53.3K

$81.5K

How much do data translator jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data translator in Texas is $53,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $53,600.00 per year, depending on experience, location, and employer.

What is a data translator?

A Data Translator acts as a bridge between data scientists and business stakeholders, ensuring that data insights are clearly understood and effectively applied. They translate complex analytical findings into actionable business strategies, helping organizations make data-driven decisions. This role requires a mix of technical knowledge, business acumen, and communication skills to align data initiatives with business goals.

What are the typical collaboration dynamics for a data translator within an organization?

Data Translators often work at the intersection of technical teams (like data scientists or engineers) and business stakeholders, facilitating clear communication and actionable insights. They translate complex data results into language and formats that non-technical teams can use for strategic decision-making, frequently participating in meetings with both groups. Close collaboration is common, and Data Translators may lead workshops, gather business requirements, and help prioritize data projects. This collaborative dynamic ensures organizational goals are aligned with the insights and capabilities of the analytics team, making the Data Translator a critical connector in data-driven organizations.

What are the key skills and qualifications needed to thrive in the data translator position, and why are they important?

To thrive as a Data Translator, you need a strong analytical background, proficiency in interpreting data, and a good understanding of both business operations and technical concepts, often supported by a degree in analytics, business, or a related field. Familiarity with analytics tools (such as Tableau, Power BI, or SQL) and certifications in data literacy or business analytics are commonly valued. Exceptional communication, problem-solving abilities, and stakeholder management skills are key soft skills for this role. These skills are crucial because Data Translators bridge the gap between data teams and business leaders, ensuring data-driven decisions are understandable and actionable.

Infographic showing various Data Translator job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $53,291 per year, or $25.6 per hour.

Data Scientist - Demand Forecasting

Socket.dev

San Antonio, TX โ€ข On-site

$150 - $190/hr

Other

Posted 6 days ago


Job description

Responsibilities

H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information. As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific and multi-mission tasks, uncovering ML models causality relationships, creating an enterprise domain-specific reasoning system to boost actionable insights and optimize resources of machine learning process, and orchestrating reusable storytelling methodology to apply toward AI translation. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.

Do You Have a
  • HEART FOR PEOPLE... willingness to mentor?
  • HEAD FOR BUSINESS... skills to serve as technical lead to support decisionโ€‘making for complex crossโ€‘functional business issues?
  • PASSION FOR RESULTS... ability to generate businessโ€‘valued questions and dataโ€‘driven solutions?
We Are Looking For
  • a creative data storyteller with measurable and predictive business recommendations
What is the work? Analytics / Design & Development
  • Builds a framework to stitch cross domains learning; optimizes them toward missionโ€‘specific and multiโ€‘mission tasks
  • Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships; builds framework to measure each model's bias, underspecification, and latent drivers with their connections
  • Creates an enterprise domainโ€‘specific reasoning system to boost actionable insights and optimize the resources of machine learning process
  • Orchestrates reusable storytelling methodology to apply toward AI translation
  • Applies an inquisitive nature to creating ML / AI transparency to the business
  • Applies AI reasoning into business action recommendations
  • Applies AI research to accelerate business innovation
What is your background?
  • A related degree or comparable formal training, certification, or work experience
  • 7+ years of experience in a retail or retailโ€‘related decision science role
  • Expertise in ML visualization flow
  • Expertise in optimizing distributed machine learning in a heterogeneous domain environment
Do you have what it takes to be a Senior Data Scientist at H-E-B?
  • Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++
  • Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba
  • Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, metaโ€‘Learning, federated learning
  • Technical skills to consider and apply causal reasoning representation and learning, and humanโ€‘centric, explainable, responsible AI
  • Ability as a creative storyteller and translator between business questions and ML solutions
  • Ability to work comfortably with imperfect or incomplete data
  • Ability to apply AI reasoning into business action recommendation
Can you...
  • Work in a fastโ€‘paced retail environment with frequently shifting priorities
  • Work extended hours; sit for long periods

08-2021

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