Engineer, Data Science Resume Samples

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K Quigley

Kaylin

Quigley

566 Leuschke Terrace

Detroit

+1 (555) 354 9388

566 Leuschke Terrace

Detroit

Phone

p +1 (555) 354 9388

Experience Experience

Houston, TX

Senior Data Engineer, Data Science

Houston, TX

Toy and Sons

Houston, TX

Senior Data Engineer, Data Science

Define and implement best practices and development processes
Be a key partner to data scientists on solving technical challenges
Participate in training and mentoring of data engineers
Design and implement systems for large-scale data analysis and machine learning
Partner with engineering teams on deployments of data science driven solutions
Be responsible for architecting, planning, and delivery of engineering components
Standardize and build tools for use across the data science team

San Francisco, CA

Senior Engineer, Data Science & Analytics

San Francisco, CA

Torphy Inc

San Francisco, CA

Senior Engineer, Data Science & Analytics

Understands key business drivers and applies the knowledge of internal/external business issues to improve products and services
Participates in the review of failures and provides feedback to prevent future occurrences
Solves complex problems. Takes a broad perspective to identify innovative solutions
Interprets internal/external business issues and recommends complete solutions based on best practices and proven technologies
Ensures that projects are properly accepted into the engineering team, worked on in a timely and efficient manner and smoothly transitioned into Quality Assurance and Operations teams
Engineering, Computer Science
Consistent exercise of independent judgment and discretion in matters of significance

present

Phoenix, AZ

Principal Software Engineer Data Science & Security Secure Works

Phoenix, AZ

Tremblay-Abshire

present

Phoenix, AZ

Principal Software Engineer Data Science & Security Secure Works

present

Works with the team to develop, maintain, and communicate current development schedules, timelines and development status
Manages or utilizes software that is built and implemented as a product, using best-in-class development process/lifecycle management
Drives innovation of new features and performance improvements
Participate in product development in all stages including planning, design, development, testing, implementation and post deployment support
H ighly motivated and willing to work in a team environment
Lead technical direction and make technical decisions for the team
Good working knowledge of data modeling, SQL and PL/SQL

Education Education

Bachelor’s Degree in Computer Science

Columbia University

Bachelor’s Degree in Computer Science

Skills Skills

Flexible, adaptable, and able to autonomously manage multiple tasks in a dynamic, fast-paced environment
Strong track record of excellence, and of delivering high quality innovative software!
Strong skills for verbal & written communication targeting technical and non-technical audiences
Self-motivated, passionate for technology, and strong driver for results and continual improvement
Strong understanding & usage of algorithms and data structures in your designs
Experience in noSQL technologies (MongoDB, CouchDB, Redis) is
Expertise in SQL technologies and RDBMS (Oracle, MySQL)
Exposure to "big data" analysis and prediction modeling
Building distributed back-end systems and/or web-development using Java and related technologies
Team player - work well independently and in multi-group cross-discipline environments

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Principal Software Engineer Data Science & Security Secure Works Resume Examples & Samples

Lead technical direction and make technical decisions for the team
Drives innovation of new features and performance improvements
Responsible for the design and development activities associated with software using a range of applicable technologies (e.g., programming languages, compilers, assemblers, debuggers, other tools) for products used in local, networked or Internet-related computer programs
Manages or utilizes software that is built and implemented as a product, using best-in-class development process/lifecycle management
Works with the team to develop, maintain, and communicate current development schedules, timelines and development status
Reviews requirements, specifications and designs to assure product quality
Develops and implements plans and tests for product quality, scalability, performance assurance
D emonstrated experience with technical leadership, including decision making and architecture choices
Demonstrated experience in innovating new products or features and driving performance improvements to existing products
S trong communication skills and be project-oriented with ability to work with minimal day-to-day direction
H ighly motivated and willing to work in a team environment
Strong in-depth knowledge of the JAVA programming language, and well-versed in enterprise database solutions
Strong understanding of GNU/Linux
Understanding of current technologies including open source technologies
Solid analytical and problem solving skills and willing to take on projects under deadline

Senior Software Engineer, Data Science Resume Examples & Samples

Design, implement and unit test server-side JEE/Java code on large-scale multi-tiered systems
Participate in the full SDLC (Agile), including planning meetings, iterative Development cycle, estimations and design sessions
Bachelorâ€™s Degree in Computer Science/Engineering or equivalent work experience
Minimum of 5 years total experience as an engineer doing development with Java/JEE
Strong experience in application design, design patterns and performance tuning
Demonstrable ability to deliver projects on time, with high quality, and within budget

CO OP Data Engineer Data Science & Analytics Resume Examples & Samples

Work
Strong
Enthusiastic, high performance, pragmatic,

Senior Data Engineer, Data Science Resume Examples & Samples

5+ years of experience in software engineering
Excellent hands-on Java coding
Superb understanding of algorithms, scalability and various tradeoffs in a Big Data setting
In-depth understanding of object oriented programming concepts
Expertise in using Hadoop (e.g., MR, HBase, Hive, Pig, Impala) and/or MPP databases (e.g., RedShift, Netezza, Vertica, Greenplum) for complex data assembly and transformation
Solid knowledge of database technology, SQL, schema design and query optimization techniques
Expertise with version control systems, especially with Git
Deep experience working in Unix/Linux environment
A graduate degree in a quantitative discipline
Digital advertising or web technology experience
Expertise working with public cloud deployments (Amazon, Google CE or other)
Programming experience with Python or Scala
Familiarity with R or Matlab

Software Engineer, Data Science & Engineering Resume Examples & Samples

Design and deliver highly scalable multi-tiered distributed software applications
Coding. Living and Breathing awesome Code
Be part of an agile team and sharing responsibilities of testing and development as the role demands
Strong quality focus including automation, design reviews, and unit testing
Strong analytical, troubleshooting, and problem solving skills with orientation towards innovation and open source tools
Mentor and guide developers in coding, design methodology and design patterns
Conceptualizing, coding, deploying, and iterating on next generation prototypes
Flexible approach to analyzing technical issues and clearly communicating recommendations/solutions
Cross team development with Product managers, Project managers, engineers, and QA to deploy innovative solutions to meet business unit requirements
An experienced software engineer with full stack development experience
Strong track record of excellence, and of delivering high quality innovative software!
Outstanding coding skills in Java or C++ or C#
Building distributed back-end systems and/or web-development using Java and related technologies
Exposure to "big data" analysis and prediction modeling a plus
Expertise in SQL technologies and RDBMS (Oracle, MySQL)
Experience in noSQL technologies (MongoDB, CouchDB, Redis) is a plus
Strong understanding & usage of algorithms and data structures in your designs
Self-motivated, passionate for technology, and strong driver for results and continual improvement
Team player - work well independently and in multi-group cross-discipline environments
Flexible, adaptable, and able to autonomously manage multiple tasks in a dynamic, fast-paced environment
Experience with python, perl is a plus
Strong skills for verbal & written communication targeting technical and non-technical audiences

Senior Engineer, Data Science & Analytics Resume Examples & Samples

Partners with engineering project manager to provide consultative direction and develops long term objectives and plans to determine resources, technology and course of action to achieve results
Works with other members of cross-functional teams, joint ventures, third party vendors and Company's Product Managers and Marketing teams to deliver quality products, in a timely fashion, that meet defined requirements. Establishes and maintains working relationships within NE&TO, Product Development teams, joint ventures, vendors and contractors
Participates in Company product lifecycle process. Contributes to and/or creates product and technical requirements, detailed design documents including transaction, capacity and bandwidth models, systems definitions, and operational procedures as part of this process
Understands key business drivers and applies the knowledge of internal/external business issues to improve products and services
Anticipates and interprets customer needs, assesses requirements and identifies solutions
Ensures that projects are properly accepted into the engineering team, worked on in a timely and efficient manner and smoothly transitioned into Quality Assurance and Operations teams
Interprets internal/external business issues and recommends complete solutions based on best practices and proven technologies
Solves complex problems. Takes a broad perspective to identify innovative solutions
Provides guidance for the performance and reliability of various cross-platform applications and services. Ensures that system failures are restored in a timely manner
Participates in the review of failures and provides feedback to prevent future occurrences

Senior Software Engineer Data Science & Model Innovation Resume Examples & Samples

Responsible for architecting and designing details of the infrastructure supporting the full model-development lifecycle (data acquisition/preparation, model development, testing, deployment, reporting and monitoring). This role will also be responsible for implementing and engineering a lot of the building blocks (at least at a prototypical level) and as such would require considerable DevOps acumen
Work with large scale and complex database systems (SQL, NoSQL and everything in between)
Ensure that the data used for model development is reliable and robust and that it adheres to Bank and industry standards. The preparation and management of complex data is essential for ensuring model integrity. Strong understanding of business related characteristics, as well as proper handling of data anomalies and missing values are critical success factors
Identify and recommend improvements that streamline, automate, and standardize the model development lifecycle. Research best practices and propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience. Build frameworks to test data and the risk models operating on them
Provide consultative support to Management within and outside of Risk Management on related matters
Liaise with other engineering and technology teams in the organization (both within and external consultants) to ensure that development is progressing in line with the architecture
Self-learner with the ability to manage own time and other resources in an effective and efficient manner
Experience in creating infrastructure, writing/maintaining libraries etc. (Github/Gitlab account with relevant projects will be a plus)
Familiarity with multiple programming paradigms (functional programming, declarative programming, OO programming etc) is critical. On a similar note, experience with multiple programming languages is also somewhat important (polyglot programmer; or the ability to pick a new language in short order)
Familiarity with the Big Data ecosystem (Apache Hadoop, Spark, Kafka, Mesos etc.) will be extremely useful
Familiarity and experience with provisioning systems and associated technologies (Chef, Puppet, Ansible, Nix, docker etc) will be extremely useful
Ability and experience in working with multiple stakeholders and teams
Strong communication skills are required (both written and verbal)

Engineer, Data Science Resume Examples & Samples

Serve as a senior data engineer for audience studio data products
Develop and code the data management services that is core to Audience Studio, under the leadership of the VP Architecture
Support product with the overall roadmap and ensure updates to senior leadership are 100% technically correct
5-10+ years of software development experience, as a developer or manager
1-2 years of experience as a development manager (with direct authority over development staff)
Strong OO design, data structure, and algorithm design skills

Senior Full Stack Engineer, Data Science Resume Examples & Samples

Write high quality, maintainable code as a senior member of the Data Science team
Develop polished user interfaces, backend systems for managing data, and the APIs in the middle
Work with product management and fellow engineers to plan features, create specs, and estimate effort
Help establish technical standards as the product scales up
Create a high-profile internal product that will revolutionize the way AdRoll does business

Devops Engineer / Data Science Resume Examples & Samples

3+ years experience with AWS, must include intimate familiarity with EC2, Redshift, s3. Should have experience with Kinesis, lambda, EMR, RDS
Advanced linux shell expertise and a very high comfort level with crons, config files, user administration, etc. Must be able to analyze loads and tune job scheduling
Solid python and at least moderate PHP; javascript a plus
Expertise in server backup and recovery
Experience with the Google cloud environment a plus
Experience with Windows server a plus
Documentation skills for processes and procedures

Software Development Engineer, Data Science Resume Examples & Samples

A Bachelor's Degree in Computer Science or related field with 3+ years relevant work experience and a strong record in product design and implementation
Strong knowledge of data structures, algorithms and object-oriented design
Proficiency in, at least, one modern object-oriented programming language, such as Java, C++, C# and scripting languages, such as Python, Ruby, or Perl
Experience in SOA architecture
Experience with SQL relational databases, such as Oracle, Redshift, MySQL, Postgres, etc
Experience in test driven development using JUnit, Cobertura

Software Engineer, Data Science Resume Examples & Samples

Apply cutting edge machine learning, deep learning or natural language processing methods to explore, model, and interpret millions of data and our partners' properties
Focus on application of data engineering solutions and statistical models for large datasets from across the sports industry and beyond
Data mining and knowledge discovery from large scale and complex data using visualization and other tools
Strong analytical skills (probability, algebra, optimization, etc.)
Work closely with partners, application developers and customers to define and implement requirements
Partner with cross-functional teams to understand product requirements, features, and functionality

Data Engineer / Data Science Resume Examples & Samples

Minimum 3-5 years experience with one or more scripting languages. Must be comfortable with Python; if it is not your primary language, you must demonstrate an ability to quickly become an advanced user
Advanced SQL skills, including significant PostGres or Redshift. Experience with MySQL and/or Google BigQuery SQL are a plus. Must understand how to apply advanced techniques such as regex matches, date transformations/truncations, and window functions in one or more SQL variants
3+ years experience with the Linux shell; must understand the crontab and how to automate jobs
1-2+ years experience writing scripts to retrieve data from REST and/or SOAP APIs. Past experience with oAuth authentication is a plus
Must have an ability to independently track down data sources and the contacts required to get access to them. Must have good personal skills and be able to negotiate the corporate structure
Must have experience writing ETL/ELT procedures and transforming large datasets, preferably “from scratch” using a scripting language
Must have significant experience working in a cloud environment; comfort with AWS and/or Google Cloud is preferred. Experience with AWS Kinesis & lambda and/or Google PubSub, DataFlow, & Cloud Function is a plus
Experience with NoSQL databases such as DynamoDB or Cassandra is a plus
Experience with Spark, Hadoop (Hive/Pig), Java or Scala are pluses

Principal Software Engineer Data Science Resume Examples & Samples

Develop code that provides actionable insight through analysis of vast quantities of sequencing data generated by our prototype instruments
Integrate and streamline new algorithms into an evolving pipeline
Support the growing cloud infrastructure needs of our Data Science group and work with dedicated IT/Dev-Ops groups as needed, to ensure appropriate resources are available
Collaborative Software Engineering in Python
Cloud infrastructure support for Data Science and Machine Learning group
Install, configure and maintain linux environments for reproducible R&D
Monitor host and application performance, resolve issues

Engineer Data Science / Pattern Recognition Resume Examples & Samples

Web application (IIS, javascript)
Statistical analysis (ANOVA, t-test, Regression etc)
MS Office Suite (advanced level of Excel and PowerPoint)
Analysis skills and ability to communicate verbally and in writing

Data Engineer, Data Science Resume Examples & Samples

3+ years of experience in software engineering
Strong hands-on Java/Scala programming skills with a deep knowledge of internals (GC, JVM, Concurrency)
Strong understanding of data structures, algorithms, scalability and various tradeoffs in a Big Data setting
Understanding of object oriented programming concepts and design patterns
Hands-on experience writing Hadoop Map-Reduce jobs and data query tools(e.g., Hive, Pig)
Understanding of full software development life cycle, agile development and continuous integration
Expertise with version control systems (git) and continuous integration (Jenkins)
Experience working in Unix/Linux environment and an ability to troubleshoot both hardware and application issues
A bachelor’s degree in a quantitative discipline (Computer Science), Graduate is a plus
Experience with high performance key-value stores
Demonstrated ability to build complex pipelines using automated workflows (luigi, airflow, oozie)
Knowledge of MPP databases (e.g., RedShift, Netezza, Vertica, Greenplum) for complex data assembly and transformation would be a plus
Expertise working with public cloud deployments (AWS, Google CE or other)
Experience with parallel analytics platforms (e.g., Spark, H2O)
Experience implementing machine learning algorithms
Expertise in programming with Python or Scala

Software Engineer Data Science Resume Examples & Samples

Coding abilities with Python and/or Java
Experience with writing Unit Tests and doing self QA of code
Exposure to Big Data and Big Data Systems
Ability to work with Relational Database Systems
Good Communication Skills*
Able to come up to speed on new technologies quickly
Experience with Spark and AWS
Experience with Data Analytics / Data Science
Experience with Non-Relational Database Systems

Principal Engineer, Data Science Resume Examples & Samples

Design, implement, and deploy full-stack solutions from small scale PoCs to serving millions of Comcast customers
Investigate and solve exciting and difficult challenges in image recognition, classification, content analysis, and deep learning
Research and develop scalable and dynamic computer vision / machine learning solutions to hard problems
Use the latest advances in neural networks and deep learning to enhance our products and create new experiences
Be a valued contributor in shaping the future of our products and services
Collaborate witha cross-functional agile team of software & hardware engineers, data scientists, ML experts, and others to address challenges head on
Help drive optimization, testing and tooling to improve data quality
Care aboutagile software processes, data-driven development, reliability, and responsible experimentation
A minimum of 4 years of experience in computer vision or machine intelligence
At least 3 years of experience in C++, C# or Java
Highly proficient in Python and data engineering
Strong mathematics, statistics, and data analytics abilities
Skilled work with stream & batch data, extremely large data sets and data visualization
Track record of successful projects in algorithm design and product development
Experience developing / implementing anomaly detection or self-healing solutions
Experience with content management and streaming, linear or IP video
Advanced computer vision skills in object detection, recognition, 3D computer vision, and/or tracking
Some experience in HW development / prototyping
Experience in complex networks, big data, mobile and /or wireless environments
Familiarity with spectrum analysis and low level machine data
Experience with data processing and storage frameworks like Hadoop, Scala, Spark, Storm, Cassandra, Kafka, etc

Software Engineer, Data Science Tools Resume Examples & Samples

Designing and building application features to accelerate data science productivity
Writing and contributing to data science libraries and frameworks
Evaluating new tools and technologies for incorporation into our platform
Working with the open source community to improve data science tools
Working with software engineers and data scientists across the company to build an integrated experience for machine learning and analytics

Senior Data Engineer, Data Science Resume Examples & Samples

Excellent hands-on Java/Scala programming skills with a deep knowledge of internals (GC, JVM, Concurrency)
Superb understanding of data structures, algorithms, scalability and various tradeoffs in a Big Data setting
In-depth understanding of object oriented programming concepts and design patterns
Expertise in writing Hadoop Map-Reduce jobs and hands-on knowledge of ingestion mechanisms (e.g., Kafka, Flume) and query tools(e.g., Hive, Pig, Impala)
Hands-on experience with writing Spark jobs (PySpark or Scala)
Solid knowledge of database concepts, SQL, schema design and query optimization techniques
Deep experience working in Unix/Linux environment and an ability to troubleshoot both hardware and application issues
Familiarity with one or more (R, Python ML libraries, Spark MLlib, or Matlab)

Front End Engineer, Data Science Workbench Resume Examples & Samples

5+ years of general software development experience
3+ years experience with JavaScript/Node.js on both frontend and backend
Fluency with modern client-side web application frameworks (e.g. AngularJS, React)
Experience designing and building REST APIs
Strong knowledge of SQL and relational database concepts
Ability to debug, troubleshoot and resolve complex cross-component technical issues
Experience with micro-services and/or containerization
Experience with public cloud cloud providers (AWS, GCE, Azure) a plus
Interest in data science and machine learning a plus
Self-driven and motivated, with a strong sense of ownership and craftsmanship
Strong written and verbal communication skills and collaborative mindset

Engineer, Data Science, Audience Studio Resume Examples & Samples

Participate in, and execute, a 12-36 month product roadmap with input from the delivery team, stakeholders, and SRAT leadership
Analyze and report results and adjust the overall engineering strategy accordingly with engineering leadership
2-5+ years of software development experience, as a developer or manager
Proficient in scalable computing mechanisms such as Hadoop and Amazon Elastic MapReduce
Self-directed, ability to multi-task, sharp analytical abilities, excellent communication skills, capable of working effectively in a dynamic environment

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