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Data Science And Analytics Jobs in Spring, TX (NOW HIRING)

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes. * Communicate ...

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

Master's degree in applied mathematics, Data Science or Physics * 5+ years' experience in the Oil and Gas industry * Strong analytical and problem-solving skills * Excellent communication and ...

Hewlett Packard Enterprise

Data Scientist

Spring, TX · On-site

Data Scientist This role has been designed as ''Onsite' with an expectation that you will primarily ... analytic models (e.g. advanced statistics, operations research, computer science, process) to ...

ResolveTech Solutions Inc.

Data Analytics Engineer

Spring, TX · On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located ... Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

Seven or more years of experience in data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced experience in pattern recognition and predictive modeling

campus4tech

Lead Data Scientist

Houston, TX · On-site

Possesses advanced level knowledge of the data science project life cycle * Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Collect, clean, and analyze structured and unstructured data; engineer features to improve model ... Master's or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Spring, TX

Data Science And Analytics information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics 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 data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Spring, TX are hiring for Data Science And Analytics jobs?

Cities near Spring, TX with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Spring, TX as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Lead Data Scientist

NAVA Software Solutions

Houston, TX • On-site

Full-time

Re-posted 7 days ago

Job description

NAVA Software solutions is looking for a Lead Data Scientist
Details:
Lead Data Scientist
Location: Houston TX - 4 days onsite
Duration: Full time /Direct Hire
The Lead Data Scientist will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis.
The incumbent will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation. As part of this role the applicant will play a significant part in setting the AI & ML agenda for The Friedkin Group, including working with business units to define potential opportunities, and defining standards and best practice for AI & ML at TFG
ESSENTIAL FUNCTIONS
  • Translates business needs into analytics/reporting requirements to support data-driven decisions with required information & explain ability.
  • Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes.
  • Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making.
  • Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to solve complex business problems.
  • Ensure analytical insights and products are embedded into business processes.
  • Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch.
  • Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards with input from use case teams and business leadership.
  • Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
  • Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG's analytics expertise.
  • Work with wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities and detail and communicate how they can deliver measurable business value.
  • Own the analytics solution portfolio, including model maintenance and improvements over time.

SUPERVISORY RESPONSIBILITIES
  • Directly supervises one or more employees. Carries out responsibilities in accordance with the organization's policies and applicable laws.
  • Demonstrated ability to lead and manage data science projects, including, managing workflow and priorities, to ensure timely delivery of projects with high-quality outcomes.
  • Proven track record of recruiting, training, and retaining a skilled data science team, identifying talent gaps, and addressing them.

QUALIFICATIONS
  • A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role.
  • Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI).
  • Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.)
  • Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark).
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
  • Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.,
  • Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines.

SOFT SKILLS
  • Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
  • Sees overall 'picture' and alternative approaches and develop vision of what may be possible.
  • Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts to influence key use case & enterprise decisions.

CERTIFICATES, LICENSES, REGISTRATIONS*
  • Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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