7 gigs found in Texas

Invesco is a leading global asset management firm with more than $937B* in assets under management. We provide our retail and institutional clients a diverse and comprehensive range of investment capabilities to help people get more out of life. Invesco is publicly traded on the New York Stock Exchange (IVZ) and has about 7,000 employees in over 20 countries.  (*As of December 31, 2017) Job Purpose (Job Summary) :  With approximately US$70 billion assets under management, Invesco Real Estate (IRE) is one of the world’s leading real estate investment managers. IRE manages listed and unlisted real estate funds and separate accounts. The mission of IRE’s Global Research Group is to support the business by enhancing investment performance and company brand profile through the integration of sound empirical research on the underlying real estate markets into our firm’s processes and strategies. Within our North American team, the role of the Research Analytics Intern is to contribute to IRE’s investment research by identifying geospatial patterns of performance and change agents that transform locations. This role requires a creative approach to developing strategic analysis and to working with large data sets that integrate research best practices, applied economics, and business and spatial analytics. Key Responsibilities / Duties : Apply business and geospatial analytics to enhance our approach to investment strategy, fundamentals analysis, pricing and value analysis, and granular research Contribute to the Research team’s analysis of the U.S. real estate investment market from a macro perspective, as well as from a spatial, granular point of view across locations and property sectors Compile geographic data from various internal and external sources related to property-level and location-oriented performance and underlying drivers (e.g., walkability, demographic and psychographic characteristics, etc.) Create reports, thematic layers of geospatial information, and related maps, tables, and charts that depict investment performance and the growth, concentration, and characterization of underlying performance drivers Identify frameworks for applying multiple metrics that give insight to correlations, lead-lag relationships, if/then relationships, and related factors reflecting cause-and-effect Undertake special projects as assigned by the Head of Research for North America and Head of Global Research Other duties as assigned    Qualifications   Work Experience / Knowledge : Competent working knowledge with geospatial applications (e.g., GIS software; geospatial coding in R, Python, SQL) is required Competent working knowledge of the link between geospatial applications and business analytics is strongly preferred Experience with ESRI products (including ArcGIS and Business Analyst) is preferred   Skills / Other Personal Attributes Required : Strong analytical/problem solving skills Strong written, verbal, and visual communication skills Must be thorough and detail oriented. An additional understanding of commercial real estate fundamentals and investment performance is preferred   Formal Education :  (minimum requirement to perform job duties) Academic emphasis in data science, geographic information systems, business analytics, combined fields, or related fields is required Graduate degree students are preferred   FLSA (US Only) :  Nonexempt The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Where good people build rewarding careers. Think that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life. Job Description Machine Learning Engineer - Intern This role is responsible for leading the use of data to make decisions. This includes: The coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. Key Responsibilities: The following are the areas of responsibility the Machine Learning Engineer Intern will be exposed in some capacity: Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop) Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling Innovates on projects by using new modeling techniques or tools Contributes on a wide variety of projects Executes on modeling/machine learning projects effectively Communicates findings to team and leadership ensure models are well understood and incorporated into business processes Works with leaders to ensure the project will meet their needs Maximizes personal professional development to ensure continuation of a personal contribution to the team and Allstate Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership Target Start Date : May/June 2019 Job Qualifications Qualifications Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science). Skills and Experience: Ability to solve problems, think critically, and communicate clearly. Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining Experience with programming. An understanding of algorithmic scaling and complexity a plus. Experience with big-data tools (e.g. hadoop) a plus. Careers @Allstate We are insurance. We are financial services. We are also so much more. We are lawyers, writers, web developers, accountants, building engineers, application developers, project managers and human resource specialists. We are creative, driven, passionate, fearless and curious. Our unique culture of inclusion helps us maximize innovation and creativity. We believe that welcoming differing ideas, cultures and backgrounds gives us a competitive advantage in a diverse, global marketplace. At Allstate, it's our differences that drive our success — as individuals and as a company. We celebrate creative problem-solving as we work together to make a difference in our communities. We believe in providing the very best tools and resources available to help keep our customers — and our employees — in Good Hands®. Connect with us on Twitter, Facebook, Pinterest and LinkedIn to find out for yourself... or hear from some of our employees in We Are Allstate The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands®. As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life - including a generous paid time off policy. Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video. Allstate generally does not sponsor individuals for employment-based visas for this   position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. It is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.

Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment? Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple's Strategic Data Solutions Analytic Insight team is seeking a Data Scientist Intern for a role this summer at our Austin, Texas location. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. Key Qualifications Strong, demonstrated interest in data science Ability to program in Python, Java, C++, or similar language Solid, proven grasp of data analysis Working knowledge of relational databases and SQL is a plus Description   The Analytic Insight (AI) team provides analytic support across Apple's lines of business, applying data science and machine learning to mitigate fraud, waste, and abuse while optimizing and empowering our customers and internal partners. The team of data scientists researches, develops, and operationally supports analytical models that take real-time and forensic action against a variety of threats.   As an intern on the AI team, you will work with your mentor to develop an innovative research project and present the results to senior leadership at the end of the summer. You will get to play in Apple's enormous data infrastructure, evaluating your new tools and techniques on a giant scale.   Education & Experience   Currently enrolled in a degree-granting program pursuing an M.S. or Ph.D. in machine learning, statistics, operations research, or closely related fields with equivalent experience. Must be returning to school after internship.   Additional Requirements Past internship projects include: LSTMs, natural language processing, and data visualization.

IT ALL STARTS WITH  YOU.  DISCOVER AN INTERNSHIP THAT  SETS YOU APART. Internships are a great way for us to get to know you and for you to get to know our company. We will offer you the same types of challenging assignments as our full-time hires and you will participate in our company-wide internship program: Opportunities may include: Attending orientation and training events, field trips, social activities, weekly seminars and opportunities to meet and interact with functional leaders Participating in performance reviews with your manager, who will provide coaching and guidance throughout your internship, as will your assigned mentor Giving a presentation about your work assignment and projects, as well as well what you learned from the internship program Data Science Analytics  is interdisciplinary, requiring programming and IT skills, math and statistics knowledge, and scientifice expertise. Our Data Scientists/Engineers work on challenging, high-value projects across all Phillips 66 business units. An  internship with Phillips 66 Analytics & Reporting  is more than a summer job that will look good on your resume. It’s an excellent opportunity to roll up your sleeves and make important contributions as a valued member of our team. You will not only enhance your knowledge, but will also learn how it applies and impacts the energy business on a daily basis. You’ll gain first-hand experience in the energy industry and participate in other activities that are based on service, networking, and learning. Your summer experience will include: Solve business proplems using data driven analytical approaches including machine learning, statistics, modeling, and artificial intelligence Implement models in Microsoft Azure, AWS, Hana, and other systems, including open source data science tools. Build end-to-end solutions to solve high value business needs in a sustainable, innovative manner Network with professionals at all levels in the company Learn about the Oil & Gas industry and the extensive use of technology that makes it possible Work at our headquarters in Houston, Texas Requirements for a Phillips 66 Internship: Basic/Required: Legally authorized to work in the job posting country Pursuing a Masters degree in Analytics, Data science or Engineering Scheduled to graduate from a Masters degree program August 2019 or later Available for a minimum of twelve continuous weeks Preferred: A minimum cumulative GPA of 3.0 on a 4.0 scale Previous internship or co-op participant in related industry Previous internship with Phillips 66 Phillips 66 SHIELD Scholar recipient Willing to work in any of our operating locations Proficiency in R or Python and familiarity with data science packages in that language Understanding of Computer Science fundamentals in object-oriented design, data structures, algorithm design, and problem solving Familiarity with Agile Development Competencies At Phillips 66, while "what" we do may be very different from person to person, there's a "how" that connects all of us. It is how we work, how we collaborate and how we succeed together. It's this shared "how" that our competency framework describes in detail. We call it the Keys to Success because it can unlock the potential within us all. Keys to Success Assoc: Adaptability—Adapt And Learn Assoc: Building Collaborative Relationships—Form Relationships Assoc: Communication—Communicate Openly Assoc: Judgment—Apply Sound Logic Assoc: Results Orientation—Seek Process Improvement To apply and be considered: You must apply through your university prior to university deadlines (if applicable) AND Apply online by going to http://www.p66oncampus.jobs at http://www.p66oncampus.jobs/ and complete the entire application process Attach an electronic copy of your resume and unofficial transcript Answer all prescreening questions and provide your eSignature Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Phillips 66 is an EEO and Affirmative Action Employer of females/Minorities/Veterans/Individuals with Disabilities

Under general direction, is responsible for providing analytical support on moderately complex projects within area of specialization where analysis of situations or data requires an in-depth evaluation of various factors. Works with technical staff to understand problems with software and help to resolve them. May assist in development of software technical documentation. This level intern possesses and applies a broad knowledge of principles, practices, and procedures to the completion of moderately difficult assignments.  Job Requirements   EDUCATION: The ideal candidate will be pursuing a Bachelor's or Master's degree in Computer Science or Software Engineering with a graduation date between August 2019 and June 2021. EXPERIENCE: Has experience with Java. Advanced computer software skills. Excellent written and verbal communication skills. Strong analytical skills. Applying for this position may result in your completion of a technical assessment pertaining to your Java skills during the interview process.  At Sabre, we are fortunate to have the resources of a large company paired with the culture of a startup. Our company culture includes casual work environments, employee amenities, flexible work arrangements, and exceptional learning opportunities. And, you will be surrounded by intelligent team members who you will be proud to call your peers.  Reasonable Accommodation Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre's Employee Relations Department at  employee.relations@sabre.com   Affirmative Action Sabre is an equal employment opportunity/affirmative action employer and is committed to providing equal employment opportunities to minorities, females, veterans, and disabled individuals.  EEO IS THE LAW

Quality Engineer Job Description: This intern will be part of the validation engineering team working on statistical process control data collection, process & packaging validation activities to improve quality  Qualifications: Degree: Engineering Preferred Classification: Junior or Senior    REQUIRED:  Excel, good writing skills DESIRED:   Minitabm SPC knowledge of cpk, ppk, dppm  Continuous Improvement Job Description: The intern will have the opportunity to transfer their theoretical learnings to a real life company and get a first hand look at the challenges which a company faces in a changing economic environment. The Continuous Improvement  team works across all functions and departments therefore providing the individual with a broad overview of how the business works and how all the different departments and functions work together to achieve a shared objective. They will get the chance to focus on the customer requirements of cost, quality and safety at the new plant.  Qualifications: Degree: Business or Engineering        Preferred Classification: Graduate or Recent Graduate  REQUIRED:  Stakeholder Engagement and Management, Change Management, Data                  Collection and Analysis, Problem Solving, Positivity DESIRED:   Previous CI experience, e.g. Green Belt.  Operations Engineering Job Description: Will work with Cell Engineers on daily assignments and projects related to the Engineering role.  In addition, the intern will work on at least one process improvement project that can be implemented before the end of their Summer assignment.  Qualifications: Degree: Engineering Preferred Classification: Junior  REQUIRED:  Critical thinking  Able to demonstrate problem solving and have excellent written and oral communication skills

DEADLIINE: October 15, 2019 This scholarship is named for Alicia Spencer Castillo, the late mother of Max S. Castillo, former president of UHD, and Martha Spencer-Castillo Nitschke. This award is restricted to expenses associated with credit bearing coursework at UHD, including tuition, books, fees, and/or supplies for the coming academic semester. To be considered for this award, students must: be a declared undergraduate major in the College of Humanities and Social Sciences. have a cumulative grade point average that is 3.0 and above. Please note that awardees must enroll in at least 12 semester credit hours during the semester s/he receives a Castillo scholarship. To be eligible for the Alicia Spencer Castillo Memorial Scholarship, students must be a declared major in the College of Humanities and Social Sciences and must be in good academic and financial standing at the university.