Job Profile Summary

About us

At bp, we’re reimagining energy for people and our planet. With operations working across almost every part of the energy system, we’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge.
In innovation & engineering we work with leading edge technologies and big data to help tackle society’s big energy challenges. Choose to join bp and you’ll be on the front line of the energy transition, collaborating with world-class technologists, engineers, and disrupters to reimagine energy and carve out a career packed with purpose, passion, and learning.
 

Role Synopsys

Digital Science and Engineering applies the current edge of digital innovation capabilities to the energy challenge of providing energy to the world while transitioning to a zero carbon future. Digital Science uses the business adoption of new digital technologies as it’s measure of performance. Although relatively small in size, Digital Science is world class in reach, processes, activities, and results. It works with the very highest levels of external organizations and operates within the full context of external digital and business innovation as well as bp strategy.

The Technology Principal is responsible for the identification and application of a range of emerging digital technologies for bp with a particular emphasis on Robotics technologies. The expectations for the impact on bp in terms of economic value are very high due to the increasing importance assigned to digital technologies including robotics at the bp leadership team level. Virtually all of bp’s front-line activities are being digitized and robotics and other digital technologies have been identified as a major source of bp’s productivity and potential for top line improvement. Also, the range, and scope of external digital technology change are increasingly broad in scope and occurring at a faster pace.

This position is part of a team which combines innovation, business development, and relationship management. It is significantly different from traditional digital leadership roles with large portfolios, this role will lead a number of initiatives working with highly technical people engaged in pioneering, innovative activities that are inherently unstructured.

Job Advert

Digital Science (DSci) comprises engineers, technologists, scientists, and entrepreneurs who lead a portfolio of initiatives working with highly technical people engaged in groundbreaking, innovative activities that are complex with many moving parts. A high degree of stature, leadership, influence and soft skills are required to achieve successful adoption of disruptive technologies.
DSci works with the very highest levels of external organizations and operates within the full context of external digital and business innovation. Consequently, the DSci team constantly challenge themselves to be open to new ideas and bring them to fruition within bp.
Honest discussion to understand business context, direction, and challenges as one-team is required to recognize the importance of digital technologies enabling core energy industry technologies. To do this team members build networks inside and outside of bp, building strong relationships based on respect and trust.
All DSci team members show fluidity, speed and initiative in unstructured contexts. In senior roles business development skill are required to create longer-term vision from an unstructured context and apply prudent risk-taking.
 

Responsibilities

• Scan the digital technology horizon to identify emerging digital trends, new products and solutions potentially relevant to bp; assess potential vendors, consultants, and market segments.
• Expert in at least one core aspect of emerging robotics; one or more technology fields, and acts a knowledge transfer agent to a wider community in bp.
• Develop and nurture collaborative external relationships at the CEO or executive level with major vendors, venture capital firms, governments, academic institutions and research firms for long-term collaboration.
• Lead delivery of projects to prove viability or potential value of technologies.
• Work closely with executive management to identify key challenges that can be addressed through new digital technology, and seek to solve problems with the help of the Digital Science ecosystem.
• Promote awareness on emerging robotics and other digital technologies and trends among senior management in bp.
• Provide advice and counsel to senior executives in setting business directions or policies and make a significant contribution to bp entity strategies.

Skills and qualifications

• MBA or advanced robotics related technical degree
• Track record of identifying emergent robotics and other edge technology and leading translating ideas and concepts into business opportunities.
• Motivated by the challenges of solving complex problems and a passion for making things happen.
• Ability to rapidly grasp new concepts.
• Ability to provide technical clarity and business direction to executive leaders
• Effective presentation and persuasion skills
• Project management skills
• Strong team-building skills
• Highly motivated with the ability to work independently.
• Exhibits a curious mind.
• An ability to think strategically and creatively
• Comfortable with uncertainty and ambiguity

Please contact Prasad at BNY Mellon directly in addition to applying via the application link included in this job posting (replace the "AT" with @):  Abhinav.Prasad "AT" bnymellon.com

What we are doing

We launched just over two years ago a global digital team, led by Roman Regelman, who is also CEO of Asset Servicing. The Digital team drives BNY Mellon’s core digitization strategy and is responsible for mapping our digital future, investing in digital capabilities, including analytics, artificial intelligence, machine learning, blockchain and others.

The Digital team focuses on maximizing the impact of our investments in digital capabilities by driving significant improvements in business performance, developing new service offerings / products as well as enhancing client and employee experience. The team is accelerating execution of the bank’s innovation strategy.

Role and Responsibilities:

As a member of the Advanced Digital Solutions team, you will have the opportunity to deliver tangible value and advance the digital agenda across the enterprise by accelerating effective use of AI. We want someone who has an excellent knowledge of statistics and machine learning. Additionally, you must love writing code and have exceptional programming skills

• Lead in the development, validation and delivery of algorithms, statistical models and reporting tools.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
• Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
• Work with cross-functional teams to gather, wrangle, cleanse, and structure data and build models that are aligned with measurable business outcomes.
• Work with current databases to build pipelines for manipulation, visualization, and descriptive/predictive modeling
• Driving / promoting best practices on effective use of AI solutions

Qualifications:

• Advanced Degree in Mathematics, Computer Science, Engineering or a related discipline, or equivalent work experience required.
• 6+ years of industry experience in analytics, data science or related field

Skills and Competencies:

• Deep understanding of statistical concepts including descriptive analysis, experimental design, Bayesian statistics, sub-setting, and regression
• Proficiency with statistical and data mining techniques including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis, dimensionality reduction algorithms
• Proficiency with machine learning techniques such as clustering, decision tree learning, naive Bayes, support vector machines, neural networks, sequential models for NLP.
• Stellar programming ability in Python
• Proficiency with frameworks including TensorFlow, Torch, scikit-learn, Keras, etc.
• Visualizing and presenting data for stakeholders using: plotly, seaborn, ggplot, etc
• Experience with databases (PostgreSQL, MySQL, Oracle, MongoDB)
• Experience working in a production environment including best practice tools
• Ability to communicate complex concepts in easy-to-understand terminology
• Excellent analytical and problem-solving skills
• Able to deal well with uncertainty and unstructured problems to be solved    
• Experience in the securities, financial services, or asset management industry a plus

Link to apply: https://www.citadel.com/careers/details/quantitative-researcher-phd-full-time-us/

• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

• PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
• Prior experience working in a data driven research environment
• Experience with NoSQL databases (e.g., MongoDB)
• Experience with distributed computing using MapReduce
• Experience with translating mathematical models and algorithms into code (Python, R or C++)
• Independent research experience
• Ability to manage multiple tasks and thrive in a fast-paced team environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communication skills

About Citadel

Citadel is a global investment firm built around world-class talent, sound risk management, and innovative leading-edge technology. For thirty years, Citadel’s hedge funds have delivered meaningful and measurable results to top-tier investors around the world, including sovereign wealth funds, public institutions, corporate pensions, endowments and foundations.

With an unparalleled ability to identify and execute on great ideas, Citadel’s team of investment professionals, operating from offices including Chicago, New York, San Francisco, London, Hong Kong and Shanghai, deploy capital across all major asset classes, in all major financial markets.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

JOB TITLE- Senior Data Scientist

Fidelity Workplace Investing is seeking a Data Scientist with a Master’s degree in a quantitative or computational field such as Statistics, Operations Research, Computer Science, Data Science, Machine Learning, Economics, Business Analytics, or Applied Mathematics, with 4+ years of relevant industry or research experience, OR a PhD degree in similar fields with 2+ research or industry experience.

The Purpose of Your Role

The functions of this role include applications of data science and advanced analytics for improving Fidelity’s products and services to meet the needs of Workplace Investing clients and participants. The successful candidate will work primarily with senior, principal, and lead data scientists, product, marketing, finance, and technology teams across the firm. The assignments will include gathering internal and external data from multiple sources including surveys and data warehouses, data processing, exploratory data analysis, predictive analytics, unstructured data mining, prescriptive analytics, interpretation of findings, and presentation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a small, high performing work environment and acts with confidence to communicate to all levels of Workplace Solutions as well as associates and management from other business units.  The ideal Data Scientist for this role should demonstrate a solid level of data science, statistical, and machine learning knowledge as well as experience with data science systems and processes. I.e., they can gather the data (survey or data warehouse, structured or unstructured) in any shape and size using any programming languages necessary, process the data, analyze them graphically and statistically, develop and execute statistical, econometric, machine learning, and other artificial intelligence approaches, draw interesting and unique insights into the business, package the information into meaningful and effective presentations, and finally be able to present to technical and non-technical audiences.

The Skills You Bring

• Data extraction and feature engineering skills for extracting, processing, and transforming big and small data into meaningful features for machine learning models.  Some experience in summarizing the data into meaningful reports showing multivariate relationships among the features in the data.  Proficient in SQL and at least one major relational database management system.
• Statistical and data science programming with proficiency in Python (Anaconda, 3.0+) and common machine learning libraries.  Able to develop organized, intuitive, and documented code in Jupyter and/or an IDE.  Experience with R also preferred but not required.  Some experience in training regression and classification models using typical ML algorithms and creating clear model documentation (features of importance,  algorithms and model accuracy).  
• Knowledge of most of the following quantitative fields: Econometric Time Series Analysis, Analysis of Survey Data, Advanced Statistical Modeling, Machine Learning & Artificial Intelligence, Causal Inference & Program Evaluation, Bayesian Network, Uplift Modeling, Recommender System, Text Mining & Natural Language Processing, Behavioral Economics, Design of Experiment, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Stochastic Optimization, Reinforcement Learning, Monte Carlo Simulation, and Bayesian Statistics
• Exploratory data analysis and statistical graphics
• Experience in Big Data technologies such as Snowflake, Sagemaker, Hadoop, MapReduce, and/or other cloud-based data science platform
• Advanced Excel and PowerPoint skills
• Knowledge of business fields, social sciences, or health sciences a plus, such as Marketing, Finance, Economics, Survey Research, Accounting, Psychology, Management, Epidemiology, Bioinformatics, Health Economics, and Health Policy & Management
• Highly meticulous with proven ability to ensure quality of complex data and analysis
• Ability to pick up new knowledge fast and enthusiastic about continuous learning
• Solid verbal and written communication skills, including the ability to interact with various levels of management from different functions
• Be proactive and takes initiatives; thinks creatively, drives projects to completion and insists on the highest level of quality

The Value You Deliver

• Intelligently applying data science and advanced analytics to support customer needs, improve customer experience, develop new products, and support marketing, sales & technology for Workplace Solution products
• Proactively identifying business opportunities and solutions
• Gathering internal and external data (structured or unstructured) from multiple sources using any programming languages necessary
• Processing and analyzing big and complex data as well as unstructured data
• Researching cutting-edge techniques, tools, and systems
• Deriving and implementing best approaches for predictive and prescriptive analytics
• Interpreting results and drawing key business insights from advanced quantitative analyses
• Presenting to broader audience and senior management
• Acquiring or developing innovative methodologies

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

JOB TITLE- Data Scientist

Fidelity Workplace Investing is seeking a Data Scientist with a Master’s degree in a quantitative or computational field such as Statistics, Operations Research, Economics, Business Analytics, Computer Science, Data Science, Machine Learning, or Applied Mathematics, OR a Data Scientist with a Bachelor’s degree in a similar field with at least two years of relevant industry or research experience.

The Purpose of Your Role

The functions of this role include applications of data science and advanced analytics for improving Fidelity’s products and services to meet the needs of Workplace Investing clients and participants. The successful candidate will work primarily with senior, principal, and lead data scientists, product, marketing, finance, and technology teams across the firm. The assignments will include gathering internal and external data from multiple sources, data processing, exploratory data analysis, predictive analytics, unstructured data mining, prescriptive analytics, interpretation of findings, and presentation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a small, high performing work environment and acts with confidence to communicate to all levels of Workplace Solutions as well as associates and management from other business units.  The ideal Data Scientist for this role should demonstrate a solid level of data science and machine learning knowledge as well as experience with data science systems and processes. I.e., they can gather the data (structured or unstructured) in any shape and size using any programming languages necessary, process the data, analyze them graphically and statistically, develop and execute machine learning and other artificial intelligence approaches, draw interesting and unique insights into the business, package the information into meaningful and effective presentations, and finally be able to present to technical and non-technical audiences.

The Skills You Bring

• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation.  An ability to summarize data into reports showing basic relationships among features in the data.  An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Familiarity with at least some of the following quantitative fields: Advanced Statistical Analysis & Modeling, Econometric Time Series Analysis, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Machine Learning & Artificial Intelligence, Causal Inference & Program Evaluation, Bayesian Network, Text Mining & Natural Language Processing, Behavioral Economics, Uplift Modeling, Recommender System, Design of Experiment, Reinforcement Learning, Monte Carlo Simulation, and Bayesian Statistics.  Some experience in training regression and classification models using typical ML algorithms.  
• Exploratory data analysis and statistical graphics
• Experience in Big Data technologies such as Snowflake, Sagemaker, Hadoop, MapReduce, and/or other cloud-based data science platform
• Advanced Excel and PowerPoint skills
• Knowledge of business fields, social sciences, or health sciences a plus, such as Marketing, Finance, Economics, Survey Research, Accounting, Psychology, Management, Epidemiology, Bioinformatics, Health Economics, and Health Policy & Management
• Highly meticulous with proven ability to ensure quality of complex data and analysis
• Ability to pick up new knowledge fast and enthusiastic about continuous learning
• Solid verbal and written communication skills, including the ability to interact with various levels of management from different functions
• Be proactive and takes initiatives; thinks creatively, drives projects to completion and insists on the highest level of quality

The Value You Deliver

• Intelligently applying data science and advanced analytics to support customer needs, improve customer experience, develop new products, and support marketing, sales & technology for Workplace Solution products
• Proactively identifying business opportunities and solutions
• Gathering internal and external data (structured or unstructured) from multiple sources using any programming languages necessary
• Processing and analyzing big and complex data as well as unstructured data
• Researching cutting-edge techniques, tools, and systems
• Deriving and implementing best approaches for predictive and prescriptive analytics
• Interpreting results and drawing key business insights from advanced quantitative analyses
• Presenting to broader audience and senior management
• Acquiring or developing innovative methodologies

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

Senior Data Scientist – Natural Language Processing and Document Automation

Fidelity Workplace Investing is seeking a Senior Data Scientist with experience in natural language processing, OCR, computer vision, information retrieval, question answering, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

This position will be based full time in Boston, MA or Durham, NC.

The Purpose of Your Role

This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions.  Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• PhD in Computer Science or other related STEM disciplines with research papers on natural language processing, OCR, computer vision, and information retrieval, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical disciplines with 5 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Knowledge of most of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Experience in Big Data, information retrieval, NLP, and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, OCR, computer vision, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• Guide data science and data engineering elements of AI projects
• Guide and perform data identification, collection and qualification activities
• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
   

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

Data Scientist – Natural Language Processing and Document Automation

Fidelity Workplace Investing is seeking Data Scientists with experience in natural language processing, information retrieval, question answering, OCR, computer vision, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

This position will be based full time in Boston, MA or Durham, NC.

The Purpose of Your Role

This individual will be working high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions.  Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• Master’s Degree in Computer Science or other related STEM disciplines with research experience on natural language processing, OCR, computer vision, OR Bachler Degree in Computer Science, Statistics, Data Science or other related STEM disciplines with 5 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Familiarity with at least some of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Experience in Big Data, information retrieval, NLP, OCR and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• Develop the models and elements of AI projects
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
   

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

Customer Financial Services (CFS) is looking for a talented researcher to join a new AI research team. The core focus of this team is to transform today’s business processes into AI-driven processes. This researcher will help accomplish this goal through collaboration with other researchers to develop and deploy cutting-edge ML algorithms across the organization.  
The team is currently working on computer vision for document scanning and deep learning for natural language processing and time series.

Key Responsibilities

-    Lead cutting-edge research in artificial intelligence and machine learning applications
-    Design and test new analytical methods with a creative blend of theory and practice
-    Develop and test new algorithms/functions to address core subject-matter requirements and customer engagements
-    Initiate and lead research programs spanning multiple areas of strategic importance, guiding and coordinating research staff responsible for specific areas
-    Interacts with business leaders to understand business strategy, conditions, and problem areas
-    Communicate and present research and findings in a precise manner to business leaders and executives
-    Influence decision making based on insight from research projects
-    Consult across all processes at Dell and recommend short-term and long-term solutions
-    Build a research portfolio for short-term and long-term expected business wins built on state-of-the-art and emerging technologies
-    Develop IP for Dell in the form of patents and submit publications to relevant conferences (such as CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, etc.)
-    Deliver results and presentations in a timely manner and handle projects with a long- term focus
-    Collaborate with groups from academic institutions and teams of business partners
-    Serve as subject-matter analytics expert in presentations to customers and larger audiences
-    Mentor and educate new data scientists with best practices and latest techniques

Requirements

-    CS, Statistics, Physics, Mathematics, Engineering (or related field) education
-    Master’s and PhD students are preferred, however those with Bachelor’s degrees and extensive research experience will be considered

-    Experience contributing to research communities and/or efforts, including publications at conferences and/or patents
-    Experience in experimental design across multiple domains of research
-    Must have exceptional communication skills as you would have to clearly articulate advanced concepts to a wide range of audiences
-    Demonstrated ability to deliver enterprise grade AI/Machine learning solutions for large scale environments
-    GPU programming experience
-    Passion to keep current on emerging technologies in the big data, data science, artificial intelligence and machine learning space
-    Experience with Python, R, Scala, C, C++
-    Ability to prioritize and manage work load on critical projects

Benefits
Our people are the most critical component of our long-term success:

-    Life at Dell means collaborating with dedicated professionals with a passion for technology
-    Our people demonstrate our winning culture through positive and meaningful relationships
-    We invest in our people and offer top notch training that can accelerate your career

Dell is a collective of customer-obsessed, industry-leading visionaries. At our core is a commitment to diversity, sustainability and our communities. We offer unparalleled growth and development opportunities for our team members. We believe that technology is essential for driving human progress, and we’re committed to providing that technology to people and organizations everywhere, so they can transform the way they work and live.
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race,  religion or belief, national, social or ethnic origin, sex
(including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. 

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services 

Basic Qualifications:

• Bachelor’s degree 

• At least 4 years of experience in DevOps Engineering

• At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

• At least 2 years of Unix or Linux system administration experience

Preferred Qualifications:

• 2+ years of experience with Terraform or Ansible

• 2+ years of experience with container orchestration services including Docker or Kubernetes

• 2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 

• 2+ years of experience working with Agile Development Practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications: 

• Bachelor’s Degree 

• At least 4 years of experience in application development

• At least 1 year of experience in big data technologies 

Preferred Qualifications: 

• 5+ years of experience in application development including Python, SQL, Scala, or Java

• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

• 2+ year experience working on real-time data and streaming applications 

• 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 

• 2+ years of data warehousing experience (Redshift or Snowflake) 

• 3+ years of experience with UNIX/Linux including basic commands and shell scripting

• 2+ years of experience with Agile engineering practices