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Director Data Science Jobs in Spring, TX (NOW HIRING)

Cyrten

Data Scientist / Engineer

Spring, TX

... Direct Hire No 3rd Party Vendors - No exceptions Note: Available Immediately & Benefits posted below Introduction Our client seeks a skilled Data Scientist / Data Engineer to join our team and ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127.30K/yr

Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and ...

NAVA Software Solutions

Data/AI Lead

Houston, TX · On-site

Direct Hire / Full time role SUMMARY OF THE ROLE Responsible for leading the strategic data and AI ... Leads cross functional teams including AI engineers, data scientists, data visualization engineers ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the Senior Data Developer, you will ... Bachelor's degree in Computer Science, Data Science, or related field * 8+ years of work experience ...

Varsity Tutors

ACT Science Tutor

Houston, TX · Remote

$40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

NAVA Software Solutions

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82.10K - $103.60K/yr

Houston TX - Onsite Duration: Full time /Direct Hire Job Summary: The Senior Snowflake Data Analyst ... Collaborate with business analysts, data scientists, and other stakeholders to understand business ...

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Director Data Science information

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$48.1K

$137.8K

$217.1K

How much do director data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for director data science in Spring, TX is $137,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $168,600.00 per year, depending on experience, location, and employer.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What are the key skills and qualifications needed to thrive in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.
More about Director Data Science jobs
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Director Data Science jobs near you
Data Scientist, Upstream Development

Data Scientist, Upstream Development

ExxonMobil

Spring, TX • On-site

Full-time

Posted 16 days ago

ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

57th of 74 rated oil and gas companies

Job description

Job Summary:
ExxonMobil is one of the world’s largest publicly traded energy and chemical companies, focused on leading energy innovations for a net-zero future. The Data Scientist in Upstream Development will lead the design and deployment of advanced AI/ML solutions for upstream oil & gas operations, collaborating with cross-functional teams to deliver impactful solutions.
Responsibilities:
• Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
• Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
• Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
• Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
• Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
• Mentor peers and contribute to internal AI capability building.
Qualifications:
Required:
• 5+ years of direct experience delivering production AI/ML solutions.
• Experience applying data science to upstream oil & gas workflows, including exploration, drilling and reservoir management analyzing well logs, seismic data, and production metrics to support operational and strategic decisions.
• Strong foundations in statistics, probability, and algorithm design.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) experience with Databricks/Spark.
• Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
• Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
• Excellent communication and collaboration skills.
Preferred:
• Cloud platforms (Azure ML, Azure OpenAI, Databricks).
• Knowledge graphs, hybrid search/RAG, and semantic technologies.
• Agile development and software engineering best practices.
Company:
ExxonMobil is an international oil and gas company that provides energy that helps underpin growing economies. Founded in 1870, the company is headquartered in Irving, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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