Data science internship jobs in The Woodlands, TX - 209 jobs
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Waste Connections 4.1
Data science internship job in The Woodlands, TX
We're looking for an intelligent, proactive, and results-driven Data Scientist to join our team in the Woodlands, TX. In this role, you'll work closely with the Financial Planning, Analysis & Performance Optimization Department and partner directly with IT to transform raw data into actionable strategies. With minimal travel required, you'll focus on leveraging advanced analytics to optimize processes, improve decision-making, and deliver measurable value. If you're a go-getter with a passion for solving complex problems using cutting-edge tools, we want to hear from you!
Key Responsibilities:
Data Analysis & Insights
Analyze large datasets to identify trends, inefficiencies, and opportunities for performance improvement.
Provide actionable recommendations to optimize operational and financial performance.
Model Development & Deployment
Develop and deploy predictive models and machine learning algorithms to support business objectives.
Leverage advanced analytics platforms, such as Databricks, for scalable data processing.
Data Integration
Collaborate with IT and cross-functional teams to integrate data solutions into existing systems and workflows.
Reporting & Visualization
Design and maintain dashboards and reporting insights to stakeholders.
Data/AI strategy & roadmap
Identify and develop future AI use cases across the organization, driving innovation and helping shape the company's long-term DataScience and AI strategy
Stay current with industry trends and emerging technologies to continually enhance our data capabilities
Qualifications:
Bachelor's degree in DataScience, Computer Science, Statistics, Mathematics, or a related field.
3+ years of relevant industry work experience in DataScience
Significant relevant experience building and deploying DataScience solutions. Relevant topics include customer segmentation/clustering, pricing, optimization, and experimentation.
Deep technical and datascience expertise, with demonstrated experience in one or more of the following areas:
Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization
Analytics tools: Data wrangling (e.g. SQL), Versioning (e.g. Git), Data Modeling (e.g. python), Data processing frameworks (e.g. Spark/PySpark), Data visualization (e.g. Tableau)
Data management environments: Analytics platforms (e.g. Databricks), data pipeline development (e.g. AWS Glue)
Experience building in-production models, including associated scripting, error handling and documentation
Proven ability to drive P&L impact through analytics
Exceptional problem-solving skills and a proactive, self-starter mindset.
Ability to communicate complex technical concepts to non-technical stakeholders.
Strong collaboration skills to work effectively with IT and other departments.
Bonus: Familiarity with Pigment or similar business planning tools.
Why Join Us?
At Waste Connections, you'll be part of a dynamic team that values innovation and excellence. This role offers the opportunity to make a real impact with minimal travel, allowing you to focus on what you do best-turning data into solutions. We offer competitive compensation, a supportive work environment, and the chance to grow with a leader in the industry.
Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.
$74k-100k yearly est. 3d ago
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Data Analyst $ 25 - 30/hr
Adecco 4.3
Data science internship job in Houston, TX
At Adecco, we are the workforce experts providing work opportunities to individuals across all industries. Every day, we have more than 100,000 associates on assignment, and our 30,000 internal colleagues are working hard to help our candidates find jobs and advance their careers. Our Houston Office has an immediate career opportunity for a qualified Analyst in Houston TX, 77084. Our Client is seeking different levels of Analyst to perform different functions. To be successful in this position you will need advanced excel experience and, in some levels, expert level (pivot tables and VLOOKUP). This important role will be responsible for:
Responsibilities
Compile and assist in verification of import and export information, which includes comparing electronic data against actual import and export documents (commercial invoices, packing lists, bills of lading, etc.)
Need to develop knowledge of supply chain processes, including but not limited to, logistics, planning, customer master setup, etc.
Performs professional level work that typically requires processing and interpreting, more complex, less clearly defined issues
Identifies problems, develops possible solutions and works with all necessary internal and external stakeholders to have timely resolution of any issues
Nature of work requires increasing independence
Assist with extracting and manipulating required information from electronic source data (.xls, .txt, etc.)
Enter data and perform drawback analysis using Excel and a drawback accounting software
Obtain necessary documents to maintain overall compliance with regulations
Receives guidance only on unusual complex problems or issues
Work review typically involves periodic review of output by supervisor and/or direct customers of the process
Works independently on assigned drawback office activity as needs arise.
Level Expectations:
Data Analyst
Junior Analyst
Analyst
Sr Analyst
Applies knowledge in analyzing and formatting technical data
Develops competence through on-the-job training and/or structured development program.
Demonstrates basic awareness of concepts in own discipline.
0-2 years of experience
(Professional Entry Level)
Directly supports clients
Performs routine assignments at the entry-level to a professional job progression.
Expands competence through on-the-job training and/or structured development program.
Can explain concepts in own discipline.
2-4 years of experience
Applies procedures and concepts of own discipline with moderate guidance.
Continues to build knowledge of the company, processes, business environment and/or customers.
4-6 years of experience in required technical/ functional field.
A senior professional with sound expertise in a specific discipline.
Provides technical guidance and direction in his/her area of specialization.
Applies best practices and knowledge of internal or external business issues to improve products or services within area of specialization.
6-10 years of experience in required technical/ functional field.
Pay Details: $25.00 to $30.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
$25-30 hourly 3d ago
Data Analyst- MSD
Patterson-UTI 4.8
Data science internship job in Conroe, TX
Brief Description:
We are seeking a dynamic and versatile professional to join our team as a Data Analyst. The Data Analyst will generate insights into our operations and processes by overseeing multiple business systems. Utilizing data and tools available to MS Directional and interfacing with stakeholders from across the company, the candidate will independently create actionable reports, algorithms, and dashboards that will support the organization's data-driven decision-making.
The ideal candidate would be a team player, with a strong foundation in data analysis, think analytically, and be able to communicate with numerous stakeholders of varying backgrounds across the company.
This role performs under general direction of the Data Projects Manager on the Systems & Digital Team.
Detailed Description:
Responsible for overseeing MSD business systems, including cleaning, and analyzing data, generating visuals and reports, and presenting results to stakeholders in a clear and actionable manner.
Collect, clean, and analyze large datasets to identify trends, insights, and opportunities for business improvement.
Support implementation and sustainment of the Company's business systems.
Perform QA/QC on existing data structures to ensure digital systems are functioning and accurate.
Develop dashboards, reports, and visualizations to communicate findings effectively to stakeholders.
Design and implement automated data workflows, data models, predictive analytics, and statistical analyses to support decision-making.
Collaborate with departments to understand data needs and ensure data accuracy and integrity.
Ensure compliance with data governance, security, and privacy regulations across systems.
Job Requirements
Strong computer skills with the ability to leverage Microsoft tools (MS Office, Power Apps, Power BI, Power Automate) and other discipline-specific applications to drive productivity and efficiency.
Ability to quickly understand Measurement While Drilling (MWD) and Directional Drilling business fundamentals and supporting operations.
Collaborate effectively with office and field teams, while also working independently to manage multiple tasks and meet demanding deadlines.
Ability to generate data visualizations and analytical insights in workshop or fast-paced environments.
Strategic thinker, capable of translating concepts into actionable plans, tracking outcomes, and delivering results.
Strong knowledge of database management, statistical methods, and data modeling techniques.
Excellent verbal and written English communication skills.
Perform additional tasks and projects as assigned.
Minimum Qualifications
Bachelor's degree in Engineering, Computer Science, or related field.
Proficiency in data analysis tools (e.g., Python, SQL, Power BI, Power Automate, Power Apps, MS Office Suite).
0-3 years' experience as a Data Analyst or similar role.
Preferred Qualifications
Previous experience with drilling-related software (e.g., Innova, DigiDrill, EDR systems, etc).
Master's degree or higher in Engineering, Computer Science, or related field.
Previous work in the oil and gas industry.
Previous experience working in cross-functional roles and communicating directly with product users.
$66k-90k yearly est. Auto-Apply 2d ago
Construction Management Data Analyst
DPR Construction 4.8
Data science internship job in Houston, TX
DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics.
Responsibilities
Strategic Partnership / Roadmap / Execution / Delivery
* Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals
* Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives
* Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive
* Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals.
* Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers.
* Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes.
Visualization / Storytelling:
* Work with stakeholders to understand and align on business requirements
* Create and maintain dashboards and Apps, as required
* Deliver actionable insights to improve business processes and drive strategic conversations
* Track and monitor usage metrics to understand and measure adoption/impact of analytics
* Complete Ad-Hoc Analysis as required
Troubleshoot Issues / Failures:
* Identify root source of data integrity issues (report, DFL, data warehouse, source system)
* Troubleshoot and solution data integrity issues in visualization tool
Data Modeling and ETL:
* Create complex data models in visualization tools, and make transformations as needed
* Query Data Warehouse using SQL to quickly analyze datasets
* Clean data, as required
* Identify potential new datasets to add to the Data Warehouse
* Identify potential new integrations between source systems and the Data Warehouse
* Work with Technical Analysts to build requirements for views in DBT and the data warehouse
Documentation
* Work with Data Engineering in the development and maintenance of the data catalog
* Create and maintain documentation of queries, transformations, and refreshes for reports
Security / Governance
* Follow, implement, and enhance data security and governance guidelines
* Create, maintain, and implement security for DFLs
* Review requests and grant access to DFLs, Reports, and Apps, as needed
* Create and maintain RLS in visualization tool, where needed
* Work with business stakeholders to understand and set security requirements, with regards to build access and view access
Change Management
* Complete impact analysis on reports when changes are made to source systems or tables upstream
* Identify, quantify, and communicate impacts to stakeholders and customers
Coordination / Collaboration / Prioritization
* Identify opportunities for data collaboration and integration between disciplines
* Coordinate alignment, as applicable, across other T&I groups
* Identify opportunities for AI/ML/DataScience efforts and work with those teams on project delivery
* Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing
* Participate in Integrated Workgroup meetings to align support functions
Training / Data Literacy
* Train end-users on how to use and interpret information/insights on deployed dashboards/reports
* Train end-users on how to build reports themselves
* Provide "on-the-job' training to business stakeholders when needed
* Work with Data Engineering and others to develop and maintain tool for Self Service Analytics
* Increase data literacy of business stakeholders through targeted trainings and conversations
* Identify opportunities to improve data literacy throughout DPR
Data SME
* Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology
* Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users
* Ensure source of truth system(s) are identified and operational
Qualifications
* Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience.
* Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred.
* Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred.
* Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred.
* Passion for the use of data and business intelligence principles and their ability to optimize business outcomes.
* Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data.
* Proven analytic skills, including data mining, evaluation, analysis, and visualization.
* Ability to create data models and understand dependencies between source systems.
* Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows.
* Experience with consuming APIs from the client side including REST and GraphQL.
* Experience with SQL scripting required.
* Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making.
* Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed.
* Demonstrated success in building trusted relationships with internal/external clients and customers.
* A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments.
Applicants:
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package.
Pay Ranges based on DPR Office Locations:
Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332
Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198
Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398
Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598
DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
Explore our open opportunities at ********************
$73k-94k yearly est. Auto-Apply 42d ago
Data Scientist
Mindlance 4.6
Data science internship job in Houston, TX
Role: Data Scientist Role : 6 months Job Details: Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings
Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.)
Nice to have skills (Top 2 only)
A demonstrated ability to solve challenging business problems using a datascience approach by developing novel and/or adapting existing computational methods
Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately.
Additional Information
Thanks & Regards
Praveen K. Paila
************
$73k-101k yearly est. 1d ago
Scheduling Data Coordinator
Quanta Services 4.6
Data science internship job in Channelview, TX
About Us
NorthStar Energy Services, a Quanta Services, Inc. (NYSE:PWR) company, is based in Channelview, TX and provides engineering, design, procurement, construction and support services to the chemical, petrochemical, pipeline, oil & gas, bulk storage and terminal industries throughout the country. We offer individual project services as well as turnkey EPC project implementation.
NorthStar possesses the skills and expertise to self-perform the design and installation of civil, structural, mechanical, piping, electrical, and instrumentation systems throughout a broad array of industrial applications.
Joining our team means being part of an organization that values drive and inclusion. We focus on career development and reward excellence, recognizing each team member's unique contributions. We're at the forefront of powering modern life. Discover how your skills and dedication can make a real difference to us.
About this Role
NorthStar Energy Services, a Quanta Services Company, is seeking a Scheduling Data Coordinator which is responsible for collecting, validating, and organizing project performance data from multiple job sites to support accurate and timely project schedule updates.
This role serves as a key liaison between field teams and the Lead Project Scheduler, ensuring that site-level progress, resource usage, and milestone data are captured, standardized, and communicated effectively. This position plays a critical part in maintaining the integrity of the project schedule by enabling the project controls team to make informed decisions that drive operational efficiency and forecasting accuracy.
This position will be located ON-SITE in Afton, TX.
What You'll Do
Gather daily and weekly progress data from field sites, including quantities installed, equipment utilization, manpower, and schedule impacts.
Standardize and compile field reports into consistent formats for input into project scheduling systems (e.g., Primavera P6 or equivalent).
Provide validated data to the Lead Project Scheduler to assist in updating and maintaining master project schedules.
Serve as the primary point of contact between site teams and project controls for schedule-related data and documentation.
Review field data submissions for accuracy, completeness, and consistency prior to integration into project controls systems.
What You'll Bring
Bachelor's degree in Construction Management, Engineering, Business, or a related technical discipline, preferred
3+ years of experience in project controls, cost management, or scheduling
Background in construction, engineering, or utilities preferred.
Familiarity with earned value management (EVM) and project lifecycle documentation, preferred
Strong organizational skills with attention to detail and data integrity.
Proficiency in Excel and familiarity with scheduling or project controls software (e.g., Primavera P6, MS Project, or similar).
Excellent communication skills for working with field personnel, schedulers, and management.
Ability to work independently and manage multiple priorities under tight deadlines.
What You'll Get
As a Quanta Services employee, we offer a wide range of benefits to fit your needs.
401(k) with immediate matching and vesting
Fully comprehensive benefits packages; Medical, Dental, Vision
Your choice of PPO, HSA, FSA
Short term and long term benefits
Employee discounts on consumer goods
#LI-TC1
Equal Opportunity Employer
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company's Human Resources department.
$61k-85k yearly est. Auto-Apply 60d ago
Data Scientist
Auto-Fit Inc.
Data science internship job in Houston, TX
Job Title: Data Scientist Department: Purchasing Reports To: COO Location: 6969 North Fwy, Houston, TX 77076 Employment Type: Full-time
We are seeking a highly skilled and analytical Data Scientist to join our Purchasing Department. The successful candidate will leverage data analytics, machine learning, and statistical modeling to optimize procurement processes, forecast demand, and enhance supply chain efficiency. This role requires strong data management skills and collaboration with cross-functional teams to drive data-driven decision-making and cost reduction initiatives.
Key Responsibilities: Data Analysis & Reporting:
Develop predictive models to forecast demand, optimize inventory levels, and reduce procurement costs.
Analyze historical purchasing data to identify trends, inefficiencies, and opportunities for cost savings.
Build and maintain data pipelines and dashboards to monitor supplier performance, lead times, and pricing trends.
Generate actionable insights and reports for senior management to support strategic decision-making.
Machine Learning & Process Optimization:
Implement machine learning algorithms to enhance supplier selection and risk assessment.
Work with procurement teams to develop data-driven negotiation strategies and supplier recommendations.
Automate data collection, cleaning, and reporting processes for improved efficiency.
Utilize statistical analysis to assess market trends, raw material costs, and external factors affecting purchasing decisions.
Collaboration & System Integration:
Work closely with IT and supply chain teams to integrate data solutions with existing ERP and procurement systems.
Support cross-functional teams including procurement, inventory management, and supplier relations to ensure smooth data utilization.
Qualifications: Education & Experience:
Bachelor's degree in DataScience, Statistics, Computer Science, Supply Chain Management, or a related field.
At least 2-4 years of experience in data analysis, machine learning, or procurement analytics.
Proven experience in data modeling, with strong expertise in statistical analysis and predictive analytics.
Skills & Competencies:
Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
Strong problem-solving and critical-thinking abilities.
Excellent communication and interpersonal skills for cross-functional collaboration.
Detail-oriented with strong organizational skills and the ability to manage multiple priorities.
Preferred:
Experience with ERP systems (e.g., SAP, Oracle) and procurement analytics tools.
Knowledge of machine learning frameworks and process improvement methodologies (e.g., Lean, Six Sigma).
Job Details:
Work Schedule:
Mon-Fri: 8:00 AM - 5:30 PM
Sat: 8:00 AM - 3:00 PM
Employee Benefits:
Health Benefits: Medical, Vision, and dental coverage (details provided after the initial period).
401k: Eligibility after six months.
Vacation Time: 40 hours per year, accrued on a pro-rata basis.
Sick Time: 40 hours per year, accrued on a pro-rata basis.
Additional Benefits:
Employee discounts
PAYACTIV
Paid Holidays (6 days):
New Year's Day
Memorial Day
Independence Day
Labor Day
Thanksgiving Day
Christmas Day
$71k-101k yearly est. Auto-Apply 60d+ ago
Lead Data Scientist
Remote Core Solutions
Data science internship job in Houston, TX
People are our passion and purpose. Come work where you are valued for who you are, not just for what you can do. Remote Core Solutions provides tailored outsourcing and recruiting solutions, connecting high-performing talent with companies across a wide range of industries from startups to large enterprises. We take pride in matching candidates with roles where they can grow, innovate, and make an impact.
About Our Client:
Our client is a nationally recognized healthcare system focused on innovation, technology, and data-driven decision-making. Their enterprise data and analytics team supports transformative work across patient care, operations, and strategic initiatives. As they continue to invest in AI and datascience, were helping them hire a dynamic Lead Data Scientist to spearhead strategic analytics projects, machine learning models, and executive-level insights across the organization. This role will be in person, in Houston, TX.
About the Role:
The Lead Data Scientist will lead critical enterprise-wide datascience initiatives, manage high priority projects, and provide mentorship to junior data scientists. The ideal candidate is a hands-on builder who thrives at the intersection of healthcare, machine learning, and executive-level strategy. You'll be responsible for designing advanced models, leading stakeholder communication, and driving datascience maturity across the organization.
Responsibilities:
Lead the design, development, and implementation of predictive and prescriptive datascience models using healthcare and EHR datasets.
Build, maintain, and validate machine learning algorithms for structured and unstructured data.
Translate complex findings into actionable insights and present them to senior leadership and C-level executives.
Develop custom data pipelines and oversee large-scale data set construction.
Mentor junior data scientists and support ongoing training within the department.
Serve as project lead on cross-functional initiatives involving clinical, finance, and operations data.
Partner with key stakeholders to identify high-impact opportunities for analytics across departments.
Maintain and optimize existing models, monitor model drift, and validate performance over time.
Actively participate in vendor evaluations and provide recommendations for new tools and platforms.
Ensure best practices in documentation, version control, and reproducibility across projects.
Must-Haves:
Bachelors Degree in a STEM related field (Science, Engineering, Mathematics, or Computer Science) Master's preferred.
7+ years of hands-on datascience experience.
Proven project leadership experience and ability to drive results independently.
Strong communication skills with experience presenting to C-level stakeholders.
Extensive experience building custom datasets and applying ML techniques (e.g., neural networks, regression models, clustering, forecasting).
Cogito experience is required.
AWS Certification is mandatory.
Advanced experience with statistical programming (Python, R, or similar), SQL, and data visualization tools.
Healthcare or hospital data environment experience preferred (e.g., EHR, revenue cycle, or clinical data).
Interview Process:
Recruiter Interview / Screening
Hiring Manager Interview
Final Panel Interview
$71k-101k yearly est. 60d+ ago
Data Scientist
Chord Energy Corp
Data science internship job in Houston, TX
Job Title: Data Scientist
The Chord Energy Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience.
Essential Job Functions
The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well in a team and in support of core business functions will be critical to the success of this role.
This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor.
Minimum Qualifications
Master's or Bachelor's degree in DataScience, Computer Science, or related field
5+ years in datascience/ML (including time-series, geospatial, and predictive modeling)
Proven experience and/or education in data analytics and management of large datasets
Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production.
Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments.
Strong interpersonal and collaborative skills
Demonstrated ability to work in a team-oriented environment
Excellent presentation skills
Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company
Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly.
Ability to meet deadlines
Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Preferred Qualifications
Master's degree or PHD or certification in DataScience or Data Analytics
Familiarity with additional programming languages (SQL, R, C++, etc.)
Previous Oil and Gas operator experience
Exposure to Petroleum Engineering and Geoscience workflows
Exposure to the energy sector, particularly unconventional exploitation programs
This role presents an exciting opportunity for a data scientist to contribute to the advancement of Chord's datascience transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.
EEO Statement:
Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
$71k-101k yearly est. Auto-Apply 60d+ ago
Cancer Biology Omics Associate Data Scientist
Md Anderson Cancer Center
Data science internship job in Houston, TX
The Associate Data Scientist's primary responsibility will be to assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as CosMx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell-cell communication, and uncovering pathways through which host-microbe interactions influence tumor biology.
*The ideal candidate will have experience in cancer biology omics. *
*At MD Anderson, we offer careers built on care, growth, and balance. Our employees enjoy a benefits package designed to support every stage of life, starting on day one.*
- Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals
- Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs
- Tuition Assistance Program after six months of service
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Extensive wellness, recognition, fitness, employee health programs and employee resource groups
*Key Functions *
*1. Analyzation and Integration Single-Cell and Spatial Omics Data*
Process and interpret single-cell RNA-seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features.
Integrate multimodal data from platforms such as CosMx, MIBI, STOmics or GeoMx to uncover spatial niches and model cell-cell and host-microbe interactions.
Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses.
*2. Computational Pipelines for Biological Insight Development*
Build, document, and maintain reproducible analysis pipelines in Python and R for high-dimensional omics datasets.
Conduct pathway enrichment and network-based analyses to identify biologically relevant trends in cancer and immune responses.
Generate publication-ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations.
*3. Collaborate, Communicate, and Document Research Outputs*
Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications.
Present analytical results in lab meetings and project discussions to inform ongoing research directions.
Maintain well-organized code, metadata, and supplementary materials to support reproducibility and data sharing.
*Education*
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
*Experience*
Required: Two years experience in scientific software or industry development/analysis.
Preferred: Knowledge of transcriptomics and proteomics is a plus
The University of Texas MD Anderson Cancer Center offers excellent ******************************************************************************************************* tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.************************************************************************************************
Additional Information
* Requisition ID: 176433
* Employment Status: Full-Time
* Employee Status: Regular
* Work Week: Day/Evening, Days
* Minimum Salary: US Dollar (USD) 88,000
* Midpoint Salary: US Dollar (USD) 110,000
* Maximum Salary : US Dollar (USD) 132,000
* FLSA: exempt and not eligible for overtime pay
* Fund Type: Soft
* Work Location: Hybrid Onsite/Remote
* Pivotal Position: Yes
* Referral Bonus Available?: Yes
* Relocation Assistance Available?: Yes
\#LI-Hybrid
$71k-101k yearly est. 60d+ ago
Lead Data Scientist
Fox Point Recruitment
Data science internship job in Houston, TX
Job Responsibilities
Principal Accountabilities
Leads high priority projects that impact the organization.
Leads complex issues and problems, and refers more complex issues to higher-level staff.
Provides technical supervision/mentoring to other data scientists and trains the broader audience on datascience developments.
Provides leadership, coaching, and/or mentoring to subordinate group.
Develops custom data models and algorithms to apply to data sets.
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making.
Performs research, analysis, and modeling on organizational data.
Maintains existing models and evaluates their goodness of fit.
Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
Assists with the evaluation of datascience vendors and tools.
Ensures safe care to patients, staff and visitors; adheres to all policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences.
Models service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
Other duties as assigned.
Minimum Qualifications
Education
Bachelors Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Masters Degree in DataScience preferred.
Licenses/Certifications: (None)
Experience / Knowledge / Skills
Seven (7) years of experience in datascience is required
Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred
Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Ability to communicate, gather requirements and execute storytelling with data
Possesses advanced level knowledge of the datascience project life cycle
Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools
Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills
Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis
Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
Advanced understanding of SQL database management tools
Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques
Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
Ability to work under minimal supervision in a fast-paced multidisciplinary environment
Advanced knowledge of datascience methods time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
Superior customer service in the form of first-rate work products and project management
Strong ability to manage challenging client situations
Strong ability to troubleshoot and recommend solutions
Strong ability to translate complex information for a wide range of stakeholders
Benefits
Dental Insurance, Medical Insurance, Vision Insurance, Life Insurance, Retirement, Equity, PTO,
$71k-101k yearly est. 60d+ ago
Data Analyst, Jr UTCD - UTWM
Pipecare Group
Data science internship job in Houston, TX
Job DescriptionJob TitleJunior Data Analyst - Pipeline IntegrityDepartmentData AnalysisReporting ToData AnalystLocationHouston, TexasArea of responsibility Western Hemisphere -WH PIPECARE Group is currently looking for Junior Data Analyst to join our team. By providing technology and service focused solutions to the international arena of the oil and gas industry, the PIPECARE Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 20 years. Due to our global focus and international growth, PIPECARE is seeking Junior Data Analyst to support our continued growth.
The general role for the Junior Data Analyst includes assisting the DA department to identify the obstructions in the pipeline in dedicated software. The responsibility of the Junior Data Analyst is to ensure that all DA tasks and DA projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office.General Responsibilities
Checking the data quality of ILI runs
UT Data Analysis
Reviewing the software inter phase
Reviewing software user manuals
Preparing/Reviewing DAD quality documentation
To ensure accurate tool sensitivity values are provided to TM in Tool Checklist
To prepare a specific Run assessment report
To identify obstructions in the pipeline; to produce technically valid Preliminary / Final report (if applicable)
To inform HO-DAD about the results and/or to implement the results into the reports
To ensure that the coordinates are synchronized with the data
To alert the R&D regarding the software problems
To update the documentation
To produce updated standard quality procedures
To alert the DA Team Leader / DA Manager regarding the software problems
Execute all other tasks as requested by DA Team Leader or DA Manager and/or Executive Team within the assigned job role.
Key Responsibilities & Authorities
Ensuring Data Integrity: Meticulously checking the data quality of ILI runs. A thorough UT data analysis to ensure that every piece of information is accurate and reliable.
Software Evaluation: thoroughly review the software interface and user manuals to ensure seamless operation. Identifying any discrepancies or areas for improvement in the software's functionality.
Documentation Excellence: Preparing and reviewing DAD quality documentation. Ensure that all procedures and results are meticulously recorded, providing a solid foundation for future reference and audits.
Tool Sensitivity Assurance: understanding of accurate tool sensitivity values for the Tool Checklist. Ensures that the tools used are calibrated correctly, provide precise measurements and reliable data.
Comprehensive Reporting: Prepare specific run assessment reports and identify obstructions in the pipeline. Ensure that the reports are technically valid and provide a clear picture of the pipeline's condition, and produce preliminary and final reports where necessary.
Competency Requirements
Communication
: Creates and encourages two-way communication opportunities; demonstrates and promotes positive prospect, client, and work relationships; proactively addresses and manages conflict and disputes; works to achieve constructive resolution.
Oral Communication
: Speaks clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions and requests. Demonstrates group presentation skills, participates in meetings.
Written Communication
: Writes clearly and informatively, presents numerical data effectively.
Character
: Demonstrates unquestionable integrity in every aspect of work and dealing with others. Consistently models desired behaviors and values established by the company. Respects diversity of perspective in discussions and demonstrates an inclusive style. Demonstrates concerns for job safety for self and others.
Collaboration
: Effectively builds and maintains partnerships with clients, prospects and staff at all levels across the company. Contributes to team and company success. Maintains flexibility and reacts to change appropriately.
Administrative Management
: Continuously manages administrative functions to ensure quality and timeliness, manages accurate and timely sales activity and performance reports, analyses report data to project trends and build forecasts.
Skills & Experience
High school diploma or higher (preferred but not limited to from petrochemical background; pipeline integrity; GIS field, etc.)
Process analysis, requirement / functional specification development experience
Quality assurance of databases, reporting experience
Experience of working on large, complex and multiple databases
Proficient in using analytical tools and instruments for instance Excel, Microsoft Access, Minitab and SPSS
High ability to work with numbers
Strong written and verbal communication skills
Analytical mind which is able to process information logically
Professional level of English language
Accountability
Assisting Data Analysts to identify the obstructions in the pipeline
Ensure that all tasks and projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office
Physical and Mental Requirements:
Lifting and Carrying: Ability to lift and carry up to 50 pounds.
Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.
Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.
Focus and Multitasking: Ability to maintain focus and multitask effectively.
Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.
Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.
About PIPECARE Group:
PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.
What we do:
In-Line Inspection Services
PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements.
Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links:
PIPECARE Group - YouTube
SMART AI CALIPER - Inspection experience like never before
Inspection Technologies
Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented.
Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented.
Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy.
Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks.
Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.).
Specialized Tools and Technologies
Combo Tools: Use multiple measurement systems in various combinations.
Specialized Tubing Technologies: Designed for Furnace and Downhole Operations.
Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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SCxAkUC9MK
If your background is in Accounting, Business, or Finance, learn more about internship opportunities at Charles River Associates!
Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations, and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provide clients with clear, implementable solutions to complex business concerns.
Practices seeking to hire candidates with this profile include (hiring locations listed):
Finance (Chicago, Boston)
Our Finance experts work on valuation issues (shareholder class actions and other corporate valuation disputes), as well as matters focused on the functioning of financial markets and institutions (alleged market manipulation and insider trading).
Forensic Services - Forensic Accounting (Boston, Chicago)
Our Forensic Services practice uses cross-trained forensic professionals to assist companies and their counsel in independently responding to allegations of fraud, waste, abuse, misconduct, and non-compliance.
Intellectual Property (Houston, New York)
Our Intellectual Property team provides expert witness testimony regarding economic damages as well as non-litigation consulting services including valuation and compliance for all types of intellectual property to assist clients in achieving their strategic and financial objectives.
Learn more about our work by reviewing our Services and Industries on our website.
Position Overview
Our Summer Analyst/Associate Internship program mirrors the analyst experience to give you an understanding of our business and experience project work at Charles River Associates. Throughout the 8-10 week program, Analyst/Associate Interns work alongside senior colleagues to deliver live client consulting projects within the practice area. Along the way, you'll benefit from professional development and wellness support programs, social events to connect you with peers and a collegial work environment. Successful interns will be offered a full-time position following graduation.
During the internship program, you may work on many aspects of a project:
Work alongside, and in a collaborative environment with, talented and diverse colleagues, including PhD-trained economists, finance and accounting professionals (CFAs and CPAs), and valuation experts;
Conduct economic and industry research while analyzing client materials to build an understanding of a case's issues;
Perform/develop financial and economic analyses or valuation models to support case theories and present those results to colleagues and clients;
Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS;
Investigate accounting irregularities and respond to allegations of fraud, misconduct, waste, and abuse;
Use your accounting and financial skills to prepare analyses of financial data, including financial models, for litigation and expert reports and testimony;
Investigate and analyze financial evidence, including financial records and transactions, to identify trends and anomalies, and clearly and concisely organize and summarize your findings;
Leverage your database skills to effectively analyze large data sets;
Communicate with team members, clients, and other professionals, to share investigative and analytical findings, and assist with the drafting of written reports to summarize procedures performed and findings.
Check out our blog about
a typical day at CRA
and how you can make an
impact
!
Desired Qualifications
Bachelor's or Master's degree candidates graduating in December 2026/Summer 2027 with an academic focus in Accounting, Business, Finance, or a related area;
Solid working knowledge of finance, accounting, and economic methodologies;
Command of a broad range of research and quantitative analysis skills (including strong Excel skills);
Familiarity with generally accepted accounting principles, corporate governance, and regulatory environments;
Experience in gathering, standardizing, and analyzing voluminous transactional data;
Experience in data analysis and intelligence gathering, including querying and mining large data sets to discover transaction patterns, examining financial data, and filtering for targeted information;
Curious and analytical thinkers who bring creative approaches to non-standard problems;
Effective written and oral communication skills;
Demonstrated high level of initiative and leadership;
Strong teamwork and collaboration capabilities;
Excellent time management and task prioritization skills;
Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events.
To Apply
To be considered for a position in the United States, we require the following:
Resume - please include current address, personal email and telephone number;
Cover letter - please describe your interest in CRA and how this role matches your goals. Also, please note if you have interest in a particular practice and/or a location preference;
Transcript - may be unofficial.
If you are interested in applying for one of our international locations, please visit our Careers site to view and apply for available jobs.
Please also note that candidate resume review will commence October 15, and continue on a rolling basis until positions are filled.
Career Growth and Benefits
CRA's robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.
Work Location Flexibility
CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 days a week on average working in the office (which may include traveling to another CRA office or to a client's location), with specific days determined in coordination with your practice or team.
Our Commitment to Equal Employment Opportunity
Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law.
The city of New York, the District of Columbia, and the state of California require CRA to include a good-faith estimate of the wage range for this role. This range is specific to individuals applying to work in our New York, California, and Washington DC offices and considers several factors including but not limited to experience, education level, and expertise. A good-faith estimate of the base wage range for this role is $30 - $36 per hour; actual total compensation may also include benefits and bonus.
$30-36 hourly Auto-Apply 32d ago
SOC Data Scientist/Analyst Intern (Summer 2026)
Wartsila Oyj Abp
Data science internship job in Houston, TX
Wärtsilä is an innovative technology company known for being a forerunner in the Marine and Energy markets. Every day, we - Wärtsilians - put our hearts and minds into turning Wärtsilä's purpose of enabling sustainable societies through innovation in technology and services into reality. Our ultimate aim is to provide increased value to both our customers and society. New, game-changing ideas and continuous improvement have been part of our DNA since 1834. Together, we can create new business opportunities and more sustainable future that we can all be proud of.
We want to transition the world towards a decarbonised and sustainable future. By pushing the boundaries of engineering and technology, we can make it work. We are always on the lookout for future-oriented talent - want to join the ride?
Join our Cyber Security team and contribute to strengthening our cyber defense through data. Working closely with Cyber Operations and the Security Operations Center (SOC), you will gain hands-on experience analyzing SOC incident data, exploring the cyber threat landscape data and help transform complex data into meaningful insights.
About the Role
As a Security Operations Center Data Scientist Trainee, you will focus on improving how we analyze and present incident data. Our incident datasets contain valuable insights and your role will help unlock them. This is a learning-focused opportunity where your analytical thinking, fresh ideas, and passion for data will directly support how we understand threats and continuously improve and strengthen our defense and incident response capabilities.
This role is based in Houston or Fort Lauderdale and requires onsite presence three times per week.
Key Responsibilities
* Analyze SOC incident data to improve statistics, metrics, and analytics
* Support the development of clear and meaningful reporting for incident trends and threat insights
* Explore opportunities for automation and data standardization across incident datasets
* Help identify patterns, trends, and gaps in incident data to better understand the threat landscape
* Consolidate data from multiple sources (e.g. excel files, reports, logs) into a coherent narrative
* Collaborate closely with the SOC and Cyber Ops team to align data insights with operational needs
* Propose fresh ideas to improve how incident data is used and visualized
You Will Shine in This Role If You
* Are currently studying or recently studied DataScience, Data Analytics, Statistics or a related field
* Have a background in Cyber Security or strong interest in the field
* Enjoy working with datasets, spreadsheets and reports to turn numbers into insights and stories
* Have an analytical mindset and are curious about patterns, trends, and root causes
* Are organized, detail-oriented, and comfortable working with multiple data sources
* Are a fast learner who enjoys exploring new tools, datasets, and problem spaces
* Are comfortable communicating clearly in written and spoken English (native or native-equivalent)
* Bring enthusiasm, curiosity, and a willingness to learn from experienced cyber professionals
Nice to Have
* Experience working with Microsoft Excel (pivot tables, formulas, data cleaning)
* Familiarity with Power BI or other data visualization tools
* Exposure to data analysis or reporting projects (academic or personal)
* Interest in automation, scripting, or improving data workflows
What You'll Gain
* Hands-on experience analyzing SOC incident data
* Practical experience in cyber threat analytics
* A deeper understanding of how data drives cyber security decisions
* The opportunity to make a visible impact by providing data-drive insights to cyber stakeholders and helping communicate how our cyber capabilities and resilience are evolving over time.
Relocation or housing assistance is not available for this role.
Last application date: 21/01/2026
Candidates for regular U.S and Puerto Rico positions must be a U.S. citizen, national, or an alien admitted as permanent resident, refugee, asylee with valid work permit or temporary resident under 8 U.S.C. 1160(a) or 1255a(1). Individuals with temporary visas such as E, F-1, H-1, H1B, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Individuals hired for positions that require on-site customer interactions and/or in-person travel may be required to be fully vaccinated against COVID-19 or other country-specific vaccinations, unless otherwise prohibited by law.
Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package. Wärtsilä North America is an EOE/AA employer.
At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.
Please note that according to Wärtsilä policy, voluntary consent for a security check may be required from candidates being considered for this position, depending on the applicable country.
This is Wärtsilä
Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 18,300 professionals, in more than 230 locations in 77 countries, shape the decarbonisation transformation of our industries across the globe. Read more on
$37k-55k yearly est. 11d ago
Supply Chain Data Scientist
HP Inc. 4.9
Data science internship job in Spring, TX
HP is the world's leading personal systems and printing company, dedicated to creating technology that enriches lives everywhere. Our innovation thrives on the passion, talent, and curiosity of our people-each bringing unique perspectives, expertise, and ideas to shape the future of how the world works and lives.
**Join HP's Strategic Planning and Modeling (SPaM) DataScience Team - Where Vision Meets Impact**
Are you a visionary thinker with a passion for learning and innovation? Join our **Strategic Planning and Modeling (SPaM) DataScience team** , where we tackle complex supply chain challenges and drive strategic decision-making through advanced analytics.
As a member of SPaM, you will:
✅ **Evaluate** supply chain investment and improvement opportunities.
✅ **Develop** cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes.
✅ **Deliver** strategic recommendations that shape HP's global supply chain.
✅ **Collaborate** with senior executives to set direction and drive innovation.
✅ **Lead** with technical and analytical expertise to translate theory into impactful business solutions through strong execution and cross-functional orchestration.
At SPaM, we bring over **35 years of supply chain innovation** . We value flexibility, invest in your growth through **formal training and mentorship** , and foster a culture where creativity and data-driven insights power the future. **If pioneering data-based innovations to transform HP's supply chain excites you, we want to hear from you!**
**Responsibilities**
+ **Collaborate & Strategize:** Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership.
+ **Drive Supply Chain Innovation:** Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making.
+ **Transform Data into Impact:** Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value.
+ **Build & Scale Advanced Analytics Solutions:** Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale.
+ **Enable Change & Adoption:** Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization.
+ **Stay Ahead of the Curve:** Continuously enhance expertise in datascience and supply chain management by staying informed on the latest advancements and industry trends.
**Education and Experience Required**
+ MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, DataScience) or MBA with Supply Chain or Operations concentration
+ Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
+ 10+ years of experience
**Knowledge and Skills**
+ Expertise with inventory optimization math and deployment of the mathematical formulas into a business process
+ Applied experience with machine learning and optimization on large datasets
+ Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel
+ Experience with GenAI
+ Passion for datascience & delivering data-driven outcomes
+ Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return)
+ Demonstrated practical experience in an operational environment
+ Experience implementing and handing off operational analytical solutions to business users
+ Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment
+ Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence
+ Experience with data visualization and data presentation in a clear and effective manner
+ Experience leading, collaborating with, and delivering results in cross-functional teams
+ Familiarity with statistics, forecasting, simulation, and spreadsheet modelling
+ A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability
The base pay range for this role is **$147,050 to $232,850** annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
**Benefits**
HP offers a comprehensive benefits package for this position, including:
+ Health insurance
+ Dental insurance
+ Vision insurance
+ Long term/short term disability insurance
+ Employee assistance program
+ Flexible spending account
+ Life insurance
+ Generous time off policies, including:
+ 4-12 weeks fully paid parental leave based on tenure
+ 11 paid holidays
+ Additional flexible paid vacation and sick leave (US benefits overview (********************************** )
The compensation and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
**\#LI-POST**
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
$147.1k-232.9k yearly 9d ago
CWSP Relationship Coordinator and Data Analyst
Cristo Rey Jesuit 3.9
Data science internship job in Houston, TX
Department: Corporate Work-Study FLSA Classification: Exempt Employee Type: FT/11-month Reports To: Director, Corporate Work Study Program (CWSP)
Who We Are: Cristo Rey Jesuit College Preparatory School of Houston serves nearly 500 young men and women from families with limited economic resources through a rigorous college-preparatory education grounded in the Jesuit tradition. A hallmark of our model is the Corporate Work Study Program, which places students in professional work environments and funds up to 40% of the cost of their education. Our mission is to inspire and prepare students to succeed in college and lead lives of faith, service, and leadership as men and women for others, for the greater glory of God.
Position Summary: The CWS Relationship Coordinator and Data Analyst is responsible for a portfolio of approximately 30 corporate accounts and the 100 students assigned to work for those partners. This role involves being the primary liaison for clients, building strong, long-term partnerships by understanding organizational needs, providing personalized solutions, ensuring satisfaction, resolving issues and identifying growth opportunities to boost retention and revenue while delivering exceptional service and driving business value.
Responsibilities: Core duties and responsibilities include the following. Other duties may be assigned.
Account & Relationship Management:
Build strong relationships with students, via being a model of conduct and offering guidance as they are introduced to the corporate work world, as well as building relationships with the professionals at various workplaces to ensure success
Serve as a liaison to an assigned portfolio of CWS business partners and manage corporate accounts through developing and maintaining working relationships with CWS supervisors and decision makers
Resolve complaints and issues efficiently and in a timely manner
Conduct site visits in accordance with Department of Labor requirements
Provide feedback and coaching to students based on observations and CWS partner feedback
Identify potential opportunities to grow student teams at existing partnerships from the assigned portfolio and advise the Associate Director of Business Development.
Research & Data Analytics
Design surveys and collect data for the Corporate Work Study Program to measure program effectiveness and student performance.
Analyze data to make recommendations for Corporate Work Study Program changes and initiatives
Update and report key metrics and supervisor evaluation results
Maintain and evaluate bi-annual supervisor evaluation results
Feedback & Evaluation
Ensure a data-driven continuous loop of program evaluation and improvement
Manage the use of feedback surveys and data and use it to guide analysis and decision making around training development and opportunities for improvement
Education and/or Experience: Bachelor's degree from four-year college or university in business management
Key Competencies: To perform this job successfully, an individual should possess the following key competencies:
Proven commitment and ability to serve and connect on a personal level with the diverse and dynamic students and families, faculty, staff and other stakeholders that comprise the Cristo Rey community
Two years of relevant experience is preferred
Excellent interpersonal, and written and verbal communication skills
Comfortable working independently and collaboratively to problem solve in a rigorous workplace environment
A desire to learn and be part of the unique Cristo Rey mission, recognizing the educational value and financial importance of the work study program
Proven success providing data-driven assessments using Excel, Google sheets or similar programs
Fluency in Spanish is preferred
Computer Skills: To perform this job successfully, an individual should have knowledge of Microsoft & G-Suite database software; spreadsheet software; word processing software; electronic mail software; and presentation software. Familiarity with Salesforce or another customer relationship management software.
Certificates, Licenses, Registrations:
Valid driver's license and reliable transportation
Other Qualifications:
Exceptional communication skills, with excellent interpersonal, written, and verbal communication skills
Commitment to faith-based education and holistic student development
A desire to learn and be part of the unique Cristo Rey mission, recognizing the educational value and financial importance of the Corporate Work-Study Program
Experience using Salesforce is a plus
Spanish fluency preferred but not required
Compensation: Competitive salary, benefits and paid vacation.
Physical Requirements and Work Environment:
Regularly interact with students, parents, staff, corporate partners, and visitors
Work at a desk and computer screen for extended periods of time
Be able to occasionally lift up to 30 lbs.
Application Materials:
Please submit a resume and cover letter through the school career page.
Cristo Rey Jesuit College Preparatory School of Houston and Cristo Rey Work Study Program, Inc are equal opportunity employers.
$55k-70k yearly est. Auto-Apply 2d ago
Intern-Data governance / ShareDrive reduction
Lutech Resources 4.1
Data science internship job in Houston, TX
We are seeking an enthusiastic Data Governance and cloud migration Intern to join our IT team and provide support to our Data transformation & Management projects. Your role will involve performing a variety of administrative tasks, including developing project plan, timeline, budget etc. to ensure successful project completion. Provide meticulous project control, progress status, and project tracking for the duration of the project.
Essential Qualifications and Education:
Currently pursuing or recently completed a relevant degree or diploma program
Excellent written and verbal communication skills in English (additional languages are a plus)
Ability to pay attention to details and maintain accuracy in all work activities
Strong organizational skills with the ability to prioritize tasks and manage time effectively
Proactive problem solver with a willingness to learn new concepts and adapt to new challenges
Team player with a demonstrated ability to work effectively both independently and
Proficiency in digital tools including familiarity with standard office software (eg, Microsoft Office) and ability to learn and adapt to new software and tools quickly
A good understanding of HR/Payroll principles and practices.
Excellent communication skills, both written and verbal.
Ability to build good relationships.
Capability to apply discretion and maintain high levels of confidentiality.
#LI-CA1
#LI-DNI
Key Tasks and Responsibilities:
Support day-to-day operations by assisting team members with their daily tasks, including administrative duties, data entry, scheduling, and organizing material
Perform research and analysis on assigned projects or tasks, gather relevant data, and present findings in a clear and concise manner
Work closely with colleagues to contribute ideas, share insights, and provide support for ongoing projects
Assist in the planning, coordination, and execution of projects, ensuring timelines are met and deliverables are achieved
Participate in team meetings, take detailed notes, and provide summaries of discussions and action points
Assist in the creation, editing, and formatting of various documents, presentations, and reports
Respond to emails, phone calls, and other inquiries in a timely and professional manner, ensuring effective communication with internal and external stakeholders
$34k-47k yearly est. Auto-Apply 60d+ ago
CORP - Data Scientist
Lancesoft 4.5
Data science internship job in Houston, TX
Welcome to epicenter of personal power. We re driven by the idea of a smarter, cleaner, digitally-enhanced energy ecosystem and the possibilities that brings to the world and to the seven million customers we serve. Consumer s data scientists use a combination of technical and business skills to help brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.
Essential Duties/Responsibilities:
Adhere to our culture of humility, curiosity, and impact
Process data using Python, PySpark, and Databricks
Develop models and dashboards
Learn the job while performing hands-on analytics and modeling
Help business partners make more profitable decisions based on customer and prospect insights
Minimum Requirements:
0-3 years of experience in data analysis or related field
Master s degree in a quantitative discipline or equivalent practical experience
Experience with statistical software and database languages
Preferred Qualifications:
Experience using datascience to improve customer experience and business profitability
PhD in a quantitative discipline
Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
Proficiency with version control
Experience with reading and writing data in the cloud
Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking
$71k-96k yearly est. 11d ago
Data Scientist 3
Daikin Comfort
Data science internship job in Waller, TX
The Data Scientist role at its core links business strategy to the data. He/she will transform structured or unstructured data into actionable information and predictive models to make a big impact across the organization. This individual will break down the hairiest of problems by applying the full datascience toolkit and provide insights to stakeholders across the organization to change minds and hearts. He/she will keep the customer front of mind in all of the work and optimize the customer experience, which will translate to creating long-term business value. As a pioneering Data Scientist at Daikin, he/she will influence the cultural change around how we use, talk about, and ultimately value our data assets, as part of a broader Digital Transformation.
Position Responsibilities may include;
Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights; creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies
Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysis
Engage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data
Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure and track key data points to enable data-driven decisions
Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions
Analyze and discern campaign execution, targeting and optimization of marketing investment to deliver sales and operating profit across brands
Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers to help them monitor, measure, or predict how the company is performing
Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise
Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Marketing is involved, and propose more efficient processes and procedures via process automation leveraging tech platforms
Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse
Provide datascience support and ad hoc analysis to enterprise leadership as needed
Nature and Scope:
Applies advanced knowledge of job area typically obtained through advanced education and work experience
Manages projects and processes while working independently and with limited supervision
Coaches and reviews the work of lower-level professionals
Problems faced are difficult and sometimes complex; takes a new perspective on existing solutions
Knowledge and Skills:
Mastery of analytical skills with attention to detail; mastery of statistical analysis, machine learning process, computer science principles, and basic programming principles
Strong data storytelling ability - ability to produce actionable information/insights, not just data crunching
Very strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization
Experienced with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale up
Proficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations
Proficient in relational databases with strong experience in SQL - Microsoft SQL Server, Oracle, Postgres
Proficient with A/B testing and datascience techniques to build and implement predictive models
Proficient with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
Proficient with Python, R, Alteryx or other analytics platforms a plus (or similar applications)
Eager to make a big impact at a large company - you show up for work and get things done
Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too
Ability to grasp complex concepts and systems quickly
Ability to manage multiple projects and shift direction quickly
Intellectual curiosity and strong passion for using data to solve problems creatively
Experience:
5+ years of work experience in a Marketing / Consulting / Business Analyst / DataScience role
Mastery solving complex business problems involving a heavy amount of analytics / datascience
Marketing-based experience (either D2C or B2B performance marketing)
HVAC industry experience preferred, but not required
Education:
Bachelor's degree (required) in Marketing / Business / Engineering / Statistics / Mathematics / Economics / Computer Science; or other related degree with strong quantitative emphasis
Master's degree (required) in DataScience / Business Administration / Marketing
People Management: No
Physical Requirements / Working Environment;
Must be able to perform essential responsibilities with or without reasonable accommodations.
Reports to:
Manager, DataScience & Marketing Analytics
$71k-101k yearly est. 60d+ ago
Senior Blockchain Data Researcher
Syndica
Data science internship job in Houston, TX
About us:
Syndica supplies the most critical applications in Web3 with enterprise-grade RPC infrastructure and developer tools tailored for the Solana ecosystem. Joining our team means you'll be held to a high standard, technically challenged, and grow close to a group of individuals passionate about building new infrastructure technologies.
We are backed by strategic partners, investors, and advisors who are all-in on our mission: Chamath Palihapitiya of Social Capital, Steve Jang of Kindred Ventures, Joe McCann of Asymmetric, Jump Crypto, Coinbase Ventures, Solana Ventures, Circle Ventures, and many more.
About you:
You are a talented, seasoned researcher who thrives in a collaborative and fast-paced environment
You have 2+ years of experience in blockchain data analysis with a strong emphasis on deriving first-principle, out-of-the-box insights
Advanced knowledge of SQL (indexes, subqueries, CTEs, basic profiling)
Proficiency in at least one scripting or statistical computing language such as Python or R, and relevant data analytics packages (Pandas, matplotlib, dplyr, ggplot)
Experience within and of data visualization tools such as Tableau, Looker, etc.
Continuously engaged in learning, demonstrating a proactive approach to tasks and responsibilities
Comfortability in engaging with developer communities on Twitter, Telegram, Discord, and blockchain research forums
Standout experience:
Experience being a team lead, mentoring junior analysts, and collaborating with other line-of-business leaders
Advanced understanding of Solana, EVM, and related technical domains (Validators, RPC) with experience parsing block explorers such as Solscan and Etherscan
Proficient knowledge in and of SQL, Python (Pandas), and REST APIs
About the role:
As a self-starter, you will assist in leading and managing a research pipeline consisting of multiple web3 domains and sectors. You will consistently meet deadlines and thoughtfully incorporate feedback from the Head of Research, who you will report to. This may include creating brand new research campaigns, staying apprised of trends, gathering pertinent data, deriving new material, creating takeaways, and delivering the final product in pursuit of advancing the overall Research function of Syndica.
Key responsibilities:
Perform research and derive insights from topics such as movement and behavior within:
L1/L2 blockchain and roll-up performance and adoption
NFT marketplaces, creator economies, and compression engines,
DePIN networks (physical and digital infrastructure / Artificial Intelligence),
DeFi protocols (DEXs, AMMs, stablecoins, derivative markets, borrow/lend),
Centralized Exchange (CEX) flows,
Interoperability and bridging protocols,
Payments infrastructure (mobile, on-ramps, enterprise & consumer),
Data provenance and storage capabilities,
Decentralized social graphs,
DAO activity,
dApp developer practices and more → see our research blog posts to get an idea of the depth and breadth of our content.
Leverage tools such as Flipside and Dune to pull relevant data.
Stay on top of industry best practices for on-chain research (tools, data sources, technologies) as well as broader web3 knowledge.
Use data visualizations to effectively illustrate complex relationships, trends, etc.
Analyze respective whitepapers to cultivate an understanding of a project's on-chain data.
Collaborate as a part of the Research team to prepare reports for external distribution.
What does success in this role look like?
In three months, you have become our go-to senior researcher working on important topics, and shipping consistently.
In six months, you have earned the trust of the team, and you are delivering research while working closely with our C-Suite to help us surpass the Research function's KPIs.
In twelve months, you have established a cadence of predictable, on-time delivery of best-in-class community research.
How much does a data science internship earn in The Woodlands, TX?
The average data science internship in The Woodlands, TX earns between $23,000 and $64,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.
Average data science internship salary in The Woodlands, TX