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Director Data Science Startup Jobs in Spring, TX

Direct Energy Business

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... science initiatives, ensuring reliable data ingestion and transformation to enhance customer ... Direct Energy Business is part of a leading energy and energy-related services provider that is ...

Wesco

Director - Master Data Management

Houston, TX · Remote

As the Director - Master Data management, you will be responsible for leading a regional, cross ... Bachelors Degree - Computer Science, Mathematics, Statistics, Data Science, Electrical/Computer ...

Wesco

Director - Master Data Management

Houston, TX · On-site

They are seeking an experienced Director of Master Data Management to lead enterprise-wide MDM ... Required : • Bachelors Degree - Computer Science, Mathematics, Statistics, Data Science ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/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 ...

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Director Data Science Startup information

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$48.1K

$137.8K

$217.1K

How much do director data science startup jobs pay per year?

As of Jul 14, 2026, the average yearly pay for director data science startup 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 are some unique challenges a Director of Data Science faces in a startup environment?

As a Director of Data Science in a startup, you will often need to balance hands-on technical work with strategic leadership, since resources and team sizes are usually limited. You'll likely be tasked with building and mentoring a team from the ground up, establishing best practices, and aligning data initiatives with fast-changing business goals. Additionally, you may need to advocate for data-driven decision-making across non-technical teams and adapt quickly as the company's priorities shift. This environment fosters rapid professional growth but requires flexibility, strong communication skills, and a willingness to wear multiple hats.

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Director of Data Science at a Startup, and why are they important?

To thrive as a Director of Data Science at a startup, you need deep expertise in statistical modeling, machine learning, and data strategy, often supported by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, GCP), and experience with data pipeline architectures are typically required. Strong leadership, communication, and business acumen are vital soft skills for aligning data initiatives with startup objectives and motivating cross-functional teams. These skills are crucial for driving product innovation, scaling data operations, and delivering actionable insights in a fast-paced, resource-constrained environment.

What does a Director of Data Science do at a startup?

A Director of Data Science at a startup leads the development and execution of data-driven strategies, overseeing teams of data scientists and analysts to drive business growth. They are responsible for aligning data initiatives with the company's goals, building predictive models, and ensuring the integrity and scalability of data solutions. This role often involves close collaboration with engineering, product, and executive teams to translate business needs into actionable data projects. Additionally, they help shape the data culture and mentor team members in a fast-paced, resource-constrained environment.
What are the most commonly searched types of Data Science Startup jobs in Spring, TX? The most popular types of Data Science Startup jobs in Spring, TX are:
What are popular job titles related to Director Data Science Startup jobs in Spring, TX? For Director Data Science Startup jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Director Data Science Startup jobs in Spring, TX look for? The top searched job categories for Director Data Science Startup jobs in Spring, TX are:
What cities near Spring, TX are hiring for Director Data Science Startup jobs? Cities near Spring, TX with the most Director Data Science Startup job openings:
Director Data Science Startup jobs near you
IT Data Analytics Director

IT Data Analytics Director

Apache Corporation

Houston, TX • On-site

Full-time

Posted 14 days ago

Job description

Job Title: IT Data Analytics Director
Req Id: 12804
Specific Responsibilities
The Director of AI, Data Analytics, Data Engineering, Data Management, and Application Development, located in Houston, TX, is a senior leadership role responsible for overseeing and integrating multiple data-centric functions within the organization. This role ensures the strategic alignment of AI and data initiatives with business objectives, driving innovation, efficiency, and data-driven decision-making across the enterprise.
This role will be primarily responsible to:
  • Develop and execute the enterprise data, analytics, and AI strategy aligned with business objectives, digital transformation priorities, and long-term business value creation.
  • Lead, mentor, and develop multidisciplinary teams spanning data engineering, analytics, data management, AI/ML, digital products, and application delivery.
  • Foster a culture of innovation, collaboration, operational excellence, accountability, and continuous learning across the organization.
  • Partner with business and technology leaders to identify, prioritize, and deliver high-value data and AI initiatives that improve business performance and operational efficiency.
  • Establish and oversee enterprise analytics capabilities that provide actionable insights to support operational, commercial, and strategic decision-making.
  • Define and govern the enterprise data architecture, including cloud data platforms, data integration patterns, and scalable data products.
  • Oversee the design, implementation, and operation of secure, reliable, and scalable data pipelines, data services, and integration capabilities.
  • Develop and maintain policies, standards, and controls that protect the confidentiality, security, integrity, and availability of enterprise information assets.
  • Lead the identification, development, deployment, and governance of artificial intelligence and machine learning solutions that improve operational performance and business outcomes.
  • Establish responsible AI practices including AI governance, model lifecycle management, model risk management, transparency, explainability, and ongoing monitoring.
  • Drive adoption of generative AI capabilities and AI-assisted software development practices to improve productivity and accelerate solution delivery.
  • Evaluate emerging technologies, industry trends, and market developments to identify opportunities for innovation and competitive advantage.
  • Oversee the delivery, support, and lifecycle management of data-driven applications, low-code solutions, digital products, and workflow automation solutions that support business operations.
  • Ensure applications and digital solutions are scalable, secure, maintainable, user-friendly, and aligned with enterprise architecture standards.
  • Develop and manage annual operating plans, budgets, forecasts, and investment strategies within approved financial targets and organizational variance expectations.
  • Monitor technology spending, cloud and AI consumption, software licensing, and operational costs and implement cost optimization and FinOps practices across the portfolio.
  • Manage strategic relationships with technology vendors, service providers, system integrators, and implementation partners.
  • Lead technology evaluations, proof of concepts, contract negotiations, and vendor performance management activities.
  • Ensure alignment between enterprise IT, cloud, cybersecurity, operational technology (OT), and business organizations to support integrated digital capabilities across the enterprise.

Qualifications & Experience
The successful candidate will have the following qualifications and experience:
  • Bachelor's degree in computer science, data science, information technology, or a related field and/or a minimum of 10 years of experience in data analytics, data engineering, data management, data science, or application development.
  • 10 Years of experience in data analytics, data engineering, data management, data science, or application development.
  • At least 3 years of management experience.
  • Excellent leadership, people management, coaching, and team development capabilities.
  • Strong communication, presentation, negotiation, and stakeholder management skills, including interaction with executive leadership.
  • Strategic thinking with the ability to align technology investments and initiatives with business objectives and measurable business outcomes.
  • Strong analytical, critical thinking, and problem-solving capabilities.
  • Strong program, portfolio, project, and financial management skills.
  • Ability to collaborate effectively across business functions, technical organizations, and external partners.
  • Strong attention to detail and commitment to data quality, governance, and operational excellence.
  • Expertise in modern enterprise data architecture, data engineering, and cloud-native data platforms.
  • Experience designing, implementing, and managing scalable data pipelines, data platforms, and enterprise integration architectures.
  • Proficiency with business intelligence, reporting, and analytics platforms such as Power BI, Sigma, or similar technologies.
  • Experience with modern data platforms and technologies such as Snowflake, Databricks, or equivalent cloud-native solutions.
  • Experience with cloud computing platforms including AWS and Azure.
  • Strong understanding of enterprise data governance, metadata management, master data management, data quality, and information lifecycle management principles.
  • Knowledge of cybersecurity, data privacy, regulatory compliance, and information protection requirements applicable to enterprise data environments.
  • Experience implementing and governing artificial intelligence, machine learning, and generative AI solutions within enterprise environments including ChatGPT, Claude, and Copilot.
  • Knowledge of AI governance, model lifecycle management, model risk management, and responsible AI frameworks.
  • Familiarity with AI-assisted software development practices and modern software engineering methodologies.
  • Understanding of DevSecOps, DataOps, MLOps, CI/CD, and cloud operations practices.
  • Experience supporting low-code and workflow automation platforms.
  • Understanding of relational and analytical database technologies such as Oracle, Microsoft SQL Server, and cloud-native analytical databases.
  • Knowledge of cloud cost management, FinOps practices, and technology portfolio optimization.
  • Experience managing technology vendors, software suppliers, system integrators, and strategic technology partnerships.
  • Ability to evaluate emerging technologies and determine business applicability and value.
  • Understanding of operational technology (OT), industrial data management, and enterprise integration challenges in complex industrial environments.
  • Experience in upstream environments is preferred.
  • Demonstrated ability to balance innovation, operational reliability, cybersecurity, and regulatory compliance in large enterprise environments.

Competencies
The successful candidate will lead by example through successfully demonstrating the following:
  • Core Competencies
    • Communication: Writes, speaks, and presents information effectively and persuasively across communication setting;
    • Results: Pursues work with energy, drive, and results orientation to positively impact Apache's business success;
    • Collaboration: Works in partnership with others and encourages different perspectives, while building and maintaining trust; and
    • Culture: Willingness and ability to align one's behavior with the needs, priorities, and goals of Apache.
  • Leadership Competencies
    • Servant Leadership: Inspires and enables performance excellence through feedback, empathy, development and empowerment;
    • Strategic Mindset: Applies business acumen to see the big picture, understand business issues, and exhibit financial stewardship;
    • Change Leadership: Inspires change by challenging the status quo, generating support, and executing improvement projects to achieve business outcomes; and
    • Leading Effective Teams: Enables performance excellence through effective structure, delegation, and motivation.

Company Overview
Our primary product is energy, and where there is affordable, abundant energy, people are healthier, have access to better education, and are given greater opportunities to elevate their families to higher standards of living.
Nearly 3 billion people - roughly one-third of the global population - live without electricity or without clean cooking facilities. We are committed to providing energy in innovative and more sustainable ways to help raise the standard of living for those living in energy poverty and to meet the ongoing demands of people and economies around the world.
The products we deliver power increasingly cleaner electricity across the globe, fuel tractors and trucks, make fertilizer to keep the world's food supply on the table, and heat our schools, hospitals and businesses.
Our employees bring a wide range of talents and skills to the job every day to tackle complex business challenges. We believe in providing a truly rewarding work environment supported by a benefits platform that ranks among the best in our peer group. Our company offers career development opportunities where employees can grow personally and professionally. We promote employee benefits that cultivate a family-friendly work environment and focus on our employees' overall well-being.
We are committed to being a workplace where all employees are valued and can thrive with a sense of belonging. Our commitment to non-discriminatory, equal employment opportunities benefits our individual employees, our company and our external stakeholders; we are better as an organization when various experiences, ideas, and perspectives are brought to the table.
Apache Corporation is a wholly owned subsidiary of APA Corporation (NASDAQ:APA). Apache has operations in the United States, Egypt's Western Desert and the United Kingdom's North Sea and a sister company with exploration opportunities offshore Suriname. Whether supporting Apache, APA Corporation or one of its subsidiaries, team members are employed by Apache Corporation.
For additional information about APA Corporation, please visit:
Portfolio
Sustainability
Investors
www.apacorp.com
Apache Statement on Hiring
To provide genuine equal opportunity to all people, it is the policy of Apache Corporation and its subsidiaries to base all employment-related decisions and actions exclusively on employment-related criteria. To provide genuine equal opportunity to all people, it is the policy of Apache Corporation and its subsidiaries to provide broad dissemination of job opportunities, as consistent with the nature of the positions. To provide genuine equal opportunity to all people, it is the policy of Apache Corporation and its subsidiaries to review its employment-related policies and actions on a regular basis to ensure that their application is consistent with their intent.
Equal Employment Opportunity

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