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Remote Data Scientist Jobs in Spring, TX (NOW HIRING)

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

BA

Houston, TX · Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

Remote Scope of Work: * Produce authoritative, accurate, and well-explained responses to advanced ... Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy ...

New

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Remote Data Scientist information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do remote data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data scientist in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Spring, TX?

The most popular types of Data Scientist jobs in Spring, TX are:

What are popular job titles related to Remote Data Scientist jobs in Spring, TX?

For Remote Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Spring, TX look for?

The top searched job categories for Remote Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Data Scientist jobs?

Cities near Spring, TX with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Managing Director, Enterprise Data Platform

Houston, TX • Remote

Ankura
Business Management Consulting • 1 - 5K employees

Full-time

Posted 6 days ago


Ankura rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Ankura is a team of excellence founded on innovation and growth.

Practice Overview

Ankura's Digital Transformation practice helps clients modernize their organizations by leveraging data, analytics, automation, and artificial intelligence to drive measurable business outcomes. Our data engineering and data science experts design and develop enterprise data platforms that unify trusted data and provide a scalable foundation for reporting, advanced analytics, automation, and AI.

Role Overview

We are seeking a Managing Director to help lead and expand our Enterprise Data Platform capabilities. This senior leadership role combines technical vision, business development, client relationship management, delivery oversight, and team leadership. This is a USA remote based role, ideally located in the eastern time zone but central time zone could potentially work as well.

The Managing Director will serve as an executive advisor to clients, helping them define and execute enterprise data strategies and complex cloud-platform transformations. This individual will oversee a portfolio of engagements and client relationships, manage a book of business, originate and expand revenue opportunities, and ensure that solutions deliver measurable business value.

The Managing Director will also provide leadership across the practice by establishing technical direction, developing reusable capabilities and delivery standards, recruiting and developing high-performing teams, and overseeing technical execution across multiple clients and projects.

Responsibilities

Practice and Technical Leadership

  • Help lead the strategy, development, and growth of Ankura's Enterprise Data Platform capabilities.

  • Establish the technical vision, reference architectures, delivery methodologies, and engineering standards for cloud-based data platforms.

  • Provide executive-level oversight of enterprise data platform design and development across multiple clients and engagements.

  • Guide architectural decisions involving cloud infrastructure, data integration, data modeling, governance, security, analytics, automation, and AI enablement.

  • Maintain current knowledge of emerging data, analytics, cloud, and AI technologies and translate relevant developments into new client offerings and practice capabilities.

  • Develop reusable accelerators, methodologies, and intellectual property that improve delivery quality, speed, and scalability.

Client and Commercial Leadership

  • Build and maintain trusted relationships with C-suite executives, business leaders, and senior technology stakeholders.

  • Advise clients on enterprise data strategy, platform architecture, technology selection, operating models, investment priorities, and transformation roadmaps.

  • Manage and grow a book of business spanning multiple clients and engagements.

  • Originate new opportunities and expand existing client relationships by identifying additional needs and developing relevant solutions.

  • Lead business-development activities, including opportunity qualification, solution development, proposal preparation, pricing, presentations, and contract negotiations.

  • Communicate the business value of enterprise data platforms and connect technical investments to measurable financial and operational outcomes.

  • Represent Ankura's Digital Transformation practice in the market through executive relationships, industry forums, strategic partnerships, and thought leadership.

Engagement and Delivery Oversight

  • Provide executive sponsorship and delivery oversight across a portfolio of complex data-platform programs.

  • Ensure engagements are appropriately scoped, staffed, governed, and aligned with client objectives and contractual commitments.

  • Oversee large-scale data integration and platform implementations using technologies such as Databricks, Snowflake, Microsoft Fabric, and comparable platforms.

  • Guide data orchestration and integration strategies using technologies such as Azure Data Factory, Airflow, Informatica, and other enterprise tools.

  • Monitor engagement economics, delivery quality, resource utilization, risks, timelines, and client satisfaction.

  • Ensure platforms meet expectations for scalability, reliability, security, governance, performance, maintainability, and cost efficiency.

  • Intervene proactively to resolve significant technical, delivery, commercial, or client relationship issues.

  • Maintain accountability for high-quality delivery and measurable client outcomes across the portfolio.

Team and Capability Development

  • Build, lead, and develop multidisciplinary teams of data architects, data engineers, data scientists, technical leads, and delivery professionals.

  • Recruit and retain high-performing professionals across onshore, nearshore, and offshore delivery teams.

  • Establish clear roles, career paths, competency expectations, and development plans for technical team members.

  • Mentor senior leaders and create opportunities for them to assume greater client, commercial, and delivery responsibility.

  • Promote collaboration among data engineering, data science, analytics, automation, AI, business transformation, and change-management professionals.

  • Develop scalable staffing and delivery models that support practice growth while maintaining quality and financial performance.

Qualifications

  • Typically 12-15+ years of experience in data engineering, enterprise data architecture, analytics, or related technology consulting, including substantial senior leadership responsibility.

  • Proven experience leading the design and delivery of enterprise-grade cloud data platforms and large-scale data transformation programs.

  • Demonstrated success managing and growing a significant book of consulting business across multiple clients.

  • Established record of developing executive client relationships, originating opportunities, and converting those opportunities into successful engagements.

  • Deep knowledge of enterprise data architecture, integration, data modeling, governance, metadata management, data quality, security, and cloud-platform principles.

  • Strong experience with data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, or comparable technologies.

  • Strong understanding of ETL, ELT, and orchestration technologies such as Azure Data Factory, Airflow, Informatica, or similar platforms.

  • Ability to connect data-platform investments to business strategy, operational improvement, financial performance, and measurable value realization.

  • Demonstrated experience overseeing multiple concurrent engagements, delivery teams, and client relationships.

  • Proven ability to recruit, organize, mentor, and develop high-performing technical and consulting teams.

  • Strong commercial judgment, including experience with engagement economics, pricing, contracting, resource planning, and risk management.

  • Executive-level communication, presentation, facilitation, and relationship-management skills.

  • Strong business acumen, entrepreneurial orientation, and results-focused leadership style.

  • Experience leading geographically distributed, multi-team, or multi-vendor delivery models is strongly preferred.

  • Experience with advanced analytics, machine learning, generative AI, real-time data processing, or AI-enabled enterprise solutions is preferred.

  • Relevant cloud, data-platform, or architecture certifications are beneficial.

  • Willingness to travel up to 20-25% including potential international travel.

  • Bachelor's degree in computer science, engineering, information systems, data science, or a related field is required; an advanced degree is preferred.

#LI-Hybrid

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Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.


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